All IPs > Graphic & Peripheral > GPU
Graphics Processing Units (GPUs) have revolutionized the way we interact with digital content, making it more immersive and visually engaging. At the core of modern graphics technology lies GPU semiconductor IPs, which are integral to delivering outstanding visual performance across a wide array of devices. Whether it’s for rendering the latest video game graphics, enhancing multimedia playback, or powering complex computational tasks, these semiconductor IPs play a crucial role.
GPU semiconductor IPs are designed to efficiently handle a myriad of operations, predominantly focusing on parallel processing. This capability allows GPUs to process multiple tasks simultaneously, making them ideal for graphics rendering, high-definition video playback, and complex simulations. This category includes essential components like shaders, compute engines, and video encoders, which work in harmony to deliver seamless graphics experience.
Products within the GPU semiconductor IP category serve a diverse range of industries. In consumer electronics, GPUs are deployed in smartphones and tablets to enhance user interfaces and enable applications like augmented reality. In high-performance computing, they are an essential part of servers and workstations for tasks such as artificial intelligence, machine learning, and big data analytics. Furthermore, the gaming industry benefits from these semiconductor IPs by providing photorealistic graphics and smooth gameplay.
Selecting the right GPU semiconductor IP can significantly impact the performance and efficiency of the final product. With the rapid advancement of display technologies and the increasing demand for richer visual content, developers and manufacturers seek the most innovative and adaptable GPU IP solutions to remain competitive. By incorporating cutting-edge semiconductor IPs, they can deliver the next generation of visually stunning and energy-efficient products.
The KL730 AI SoC is powered by Kneron's innovative third-generation reconfigurable NPU architecture, delivering up to 8 TOPS of computing power. This architecture offers enhanced efficiency for the latest CNNnetwork architectures and serves transformer applications by reducing DDR bandwidth requirements significantly. The chip excels in video processing, supporting 4K 60FPS output and excelling in areas such as noise reduction and low-light imaging. It's ideal for applications in intelligent security, autonomous driving, and video conferencing, among others.
The Origin E1 is an optimized neural processing unit (NPU) targeting always-on applications in devices like home appliances, smartphones, and security cameras. It provides a compact, energy-efficient solution with performance tailored to 1 TOPS, making it ideal for systems needing low-power and minimal area. The architecture is built on Expedera's unique packet-based approach, which enables enhanced resource utilization and deterministic performance, significantly boosting efficiency while avoiding the pitfalls of traditional layer-based architectures. The architecture is fine-tuned to support standard and custom neural networks without requiring external memory, preserving privacy and ensuring fast processing. Its ability to process data in parallel across multiple layers results in predictive performance with low power and latency. Always-sensing cameras leveraging the Origin E1 can continuously analyze visual data, facilitating smoother and more intuitive user interactions. Successful field deployment in over 10 million devices highlights the Origin E1's reliability and effectiveness. Its flexible design allows for adjustments to meet the specific PPA requirements of diverse applications. Offered as Soft IP (RTL) or GDS, this engine is a blend of efficiency and capability, capitalizing on the full scope of Expedera's software tools and custom support features.
This IP offers a high-performance mixed-signal CODEC solution perfect for advanced audio applications. It seamlessly integrates analog-to-digital and digital-to-analog conversion capabilities, ensuring an immersive audio experience with minimal latency and superior sound fidelity. The CODEC is specifically designed to handle multiple audio interface formats, providing adaptability across various platforms and devices. One of the strengths of this CODEC is its optimized power consumption. It is crafted to deliver top-tier performance while maintaining efficient energy use, which is essential for battery-powered and portable devices. The versatility of the CODEC makes it an ideal choice for a wide range of applications, from automotive audio systems to consumer electronics. Additionally, this solution is engineered with robust support for different process nodes, enhancing its compatibility with a multitude of manufacturing technologies. This makes it not only efficient but also versatile, allowing for straightforward integration into diverse product lines.
The Origin E8 NPU by Expedera is engineered for the most demanding AI deployments such as automotive systems and data centers. Capable of delivering up to 128 TOPS per core and scalable to PetaOps with multiple cores, the E8 stands out for its high performance and efficient processing. Expedera's packet-based architecture allows for parallel execution across varying layers, optimizing resource utilization, and minimizing latency, even under strenuous conditions. The E8 handles complex AI models, including large language models (LLMs) and standard machine learning frameworks, without requiring significant hardware-specific changes. Its support extends to 8K resolutions and beyond, ensuring coverage for advanced visualization and high-resolution tasks. With its low deterministic latency and minimized DRAM bandwidth needs, the Origin E8 is especially suitable for high-performance, real-time applications. The high-speed processing and flexible deployment benefits make the Origin E8 a compelling choice for companies seeking robust and scalable AI infrastructure. Through customized architecture, it efficiently addresses the power, performance, and area considerations vital for next-generation AI technologies.
The KL520 AI SoC is a groundbreaking chip that initiated Kneron's journey in edge AI. It is characterized by its compact size, energy efficiency, and robust performance, suitable for a host or companion AI co-processor role. Compatible with multiple 3D sensor technologies, the KL520 excels in smart home applications like smart locks and cameras. Its small power footprint allows operations on simple power supplies like AA batteries, setting it apart in the market.
The Chimera GPNPU is a general-purpose neural processing unit designed to address key challenges faced by system on chip (SoC) developers when deploying machine learning (ML) inference solutions. It boasts a unified processor architecture capable of executing matrix, vector, and scalar operations within a single pipeline. This architecture integrates the functions of a neural processing unit (NPU), digital signal processor (DSP), and other processors, which significantly simplifies code development and hardware integration. The Chimera GPNPU can manage various ML networks, including classical frameworks, vision transformers, and large language models, all within a single processor framework. Its flexibility allows developers to optimize performance across different applications, from mobile devices to automotive systems. The GPNPU family is fully synthesizable, making it adaptable to a range of performance requirements and process technologies, ensuring long-term viability and adaptability to changing ML workloads. The Cortex's sophisticated design includes a hybrid Von Neumann and 2D SIMD matrix architecture, predictive power management, and sophisticated memory optimization techniques, including an L2 cache. These features help reduce power usage and enhance performance by enabling the processor to efficiently handle complex neural network computations and DSP algorithms. By merging the best qualities of NPUs and DSPs, the Chimera GPNPU establishes a new benchmark for performance in AI processing.
The GV380 is a compact and powerful GPU IP designed to handle complex vector graphics with ease. This OpenVG 1.1 compliant GPU leverages a fourth generation architecture that minimizes CPU load while maximizing pixel performance in vector processing. The IP is ideal for embedded systems needing enhanced 2D graphics performance. It can seamlessly integrate with digital cameras and similar devices to render high-quality graphics without burdening the central processing unit. This efficiency is crucial in environments where processing capacity and battery life are valued. By offering substantial gains in pixel processing through innovative architectural improvements, the GV380 enables richer graphics and smoother interactions in embedded applications, supporting enhanced user experiences.
The GH310 is specialized GPU IP tailored for 2D sprite graphics with an emphasis on high pixel processing capabilities. It achieves minimal gate count, ensuring it occupies less silicon area while delivering robust graphic outputs. Designed to handle large volumes of sprite graphics efficiently, the GH310 is perfect for applications requiring rapid rendering and minimal hardware overhead. This makes it favorable for systems where space and power savings are crucial yet high-quality graphics are needed. Its architecture allows for optimized performance tailored for specific graphical needs, translating into a resource-efficient solution for developers seeking to integrate intricate graphical features in their products without excessive resource consumption.
The KL630 AI SoC introduces state-of-the-art NPU architecture, being the first to support both Int4 precision and transformer neural networks. It offers notable energy efficiency and is built on the ARM Cortex A5 CPU, providing up to 1eTOPS@int4. The KL630 supports various AI frameworks, making it suitable for a wide array of edge AI devices and applications that require advanced ISP capabilities and 5M@30FPS HDR imaging.
The DB9000AXI Display Controller from Digital Blocks is engineered for high-performance display applications, supporting various display resolutions from 320x240 QVGA up to 1920x1080 Full HD. It enhances image quality through features like overlay windows and hardware cursor support, which facilitate sophisticated composition processes such as alpha blending and color space conversion. Advanced versions scale up to meet the demands of 4K and 8K displays, making it suitable for a range of industries including medical and automotive sectors. The controller efficiently manages the flow of video data between frame buffer memory and the display through an AMBA AXI protocol interface.
The Origin E2 from Expedera is engineered to perform AI inference with a balanced approach, excelling under power and area constraints. This IP is strategically designed for devices ranging from smartphones to edge nodes, providing up to 20 TOPS performance. It features a packet-based architecture that enables parallel execution across layers, improving resource utilization and performance consistency. The engine supports a wide variety of neural networks, including transformers and custom networks, ensuring compatibility with the latest AI advancements. Origin E2 caters to high-resolution video and audio processing up to 4K, and is renowned for its low latency and enhanced performance. Its efficient structure keeps power consumption down, helping devices run demanding AI tasks more effectively than with conventional NPUs. This architecture ensures a sustainable reduction in the dark silicon effect while maintaining high operating efficiencies and accuracy thanks to its TVM-based software support. Deployed successfully in numerous smart devices, the Origin E2 guarantees power efficiency sustained at 18 TOPS/W. Its ability to deliver exceptional quality across diverse applications makes it a preferred choice for manufacturers seeking robust, energy-conscious solutions.
Expedera's Origin E6 NPU is crafted to enhance AI processing capabilities in cutting-edge devices such as smartphones, AR/VR headsets, and automotive systems. It offers scalable performance from 16 to 32 TOPS, adaptable to various power and performance needs. The E6 leverages Expedera's packet-based architecture, known for its highly efficient execution of AI tasks, enabling parallel processing across multiple workloads. This results in better resource management and higher performance predictability. Focusing on both traditional and new AI networks, Origin E6 supports large language models as well as complex data processing tasks without requiring additional hardware optimizations. Its comprehensive software stack, based on TVM, simplifies the integration of trained models into practical applications, providing seamless support for mainstream frameworks and quantization options. Origin E6's deployment reflects meticulous engineering, optimizing memory usage and processing latency for optimal functionality. It is designed to tackle challenging AI applications in a variety of demanding environments, ensuring consistent high-performance outputs and maintaining superior energy efficiency for next-generation technologies.
GSHARK is a high-performance GPU IP designed to accelerate graphics on embedded devices. Known for its extreme power efficiency and seamless integration, this GPU IP significantly reduces CPU load, making it ideal for use in devices like digital cameras and automotive systems. Its remarkable track record of over one hundred million shipments underscores its reliability and performance. Engineered with TAKUMI's proprietary architecture, GSHARK integrates advanced rendering capabilities. This architecture supports real-time, on-the-fly graphics processing similar to that found in PCs, smartphones, and gaming consoles, ensuring a rich user experience and efficient graphics applications. This IP excels in environments where power consumption and performance balance are crucial. GSHARK is at the forefront of embedded graphics solutions, providing significant improvements in processing speed while maintaining low energy usage. Its architecture easily handles demanding graphics rendering tasks, adding considerable value to any embedded system it is integrated into.
The xT CDx is a sophisticated tumor profiling solution designed to advance precision oncology care for solid malignancies. This assay uses next-generation sequencing to assess alterations in 648 genes, identifying single nucleotide variants, multi-nucleotide variants, and insertions/deletions. It also evaluates microsatellite instability status and serves as a companion diagnostic to explore potential treatment avenues according to specific therapeutic product labeling. Uniquely, xT CDx offers mutation profiling through samplings from both formalin-fixed paraffin-embedded tumor tissues and matched normal samples such as blood or saliva, enhancing diagnostic clarity and treatment direction for patients with solid tumors. The comprehensive report generated includes valuable insights that can inform the personalized treatment path for cancer patients.
The GV580 stands out as a hybrid GPU IP, merging 2D and 3D rendering strengths to deliver optimum performance. Supporting both OpenVG 1.1 and OpenGL ES 1.1 standards, this GPU IP ensures comprehensive compatibility and advanced graphics rendering. A significant feature of the GV580 is its capability to provide high-resolution graphics that demand low power, making it suitable for applications in energy-constrained environments. This GPU IP allows devices to manage complex graphical processing tasks efficiently, thereby alleviating pressure from the main processor. With a focus on reducing power requirements while increasing processing efficiency, the GV580 is an essential component in developing advanced user interfaces for embedded systems, providing flexibility and adaptability across diverse applications.
The Hyperspectral Imaging System from Imec offers unparalleled capabilities in capturing spectral data, enabling detailed analysis and identification of materials based on their spectral signatures. This system is designed to provide high-resolution imaging across a range of wavelengths, making it an invaluable tool for industries such as agriculture, mining, and environmental monitoring. By integrating cutting-edge sensor technology, the system facilitates advanced analytics that support decision-making in various applications requiring precise material composition detection. This advanced imaging solution leverages Imec’s proprietary sensor innovations, which inherently allow for real-time data acquisition and processing. The compact nature of the system makes it adaptable for field deployments, allowing users to conduct in-situ analyses efficiently. Moreover, its robust design ensures consistent performance in diverse environmental conditions, thus broadening its application scope. Core to the Hyperspectral Imaging System is Imec’s commitment to enhancing the functionality of their semiconductor technology. With its ability to seamlessly integrate into existing infrastructures, it offers users a cost-effective upgrade path for significantly improving the precision of their diagnostic capabilities. As industries look for integrated solutions, this imaging system stands out by offering a high degree of customization to meet specific operational needs.
ISPido on VIP Board is a specialized runtime solution designed for optimal performance with Lattice Semiconductors’ Video Interface Platform. It features versatile configurations aimed at real-time image optimization, allowing users to choose between automatic best-setting selection or manual adjustments via menu-driven interfaces for precise gaming control. Compatible with two Sony IMX 214 image sensors, this setup ensures superior image clarity. The HDMI VIP Output Bridge Board and sophisticated calibration menus via serial ports offer further adaptability, accommodating unique project requirements effortlessly. This versatility, combined with efficient HDMI 1920 x 1080p output utilizing YCrCb 4:2:2, ensures that image quality remains consistently high. ISPido’s modular design ensures seamless integration and easy calibration, facilitating custom user preferences through real-time menu interfaces. Whether choosing gamma tables, applying varied filters, or selecting other personalization options, ISPido on VIP Board provides robust support tailored to electronic visualization devices.
The VIDIO 12G SDI FMC Daughter Card is engineered to facilitate next-level broadcast video applications. Equipped with 12G SDI and 10G IP interfaces, this card supports 4K resolution at 60 frames per second, making it compatible with various AMD and Intel development boards. Manufactured with the latest chip technology, the card utilizes a single board design, incorporating full-size edge launch BNCs along with an SFP+ cage. This enables developers to integrate additional SFP-BNC inputs and outputs, extending versatility in signal configurations. The card is thoroughly tested for quality, fulfilling requirements for jitter performance over extended cable runs, ensuring signal reliability in demanding broadcast environments. With a focus on ease of use, it requires no software for initialization, making it ready-to-use for rapid deployment.
Digital Media Professionals offers ZIA Stereo Vision, a robust solution for achieving high-accuracy depth estimation through stereoscopic imaging. Suited for applications in robotics and automated systems, ZIA SV deploys a sophisticated semi-global matching algorithm to derive reliable distance measurements from stereo camera inputs. This IP core excels in pre-processing and post-processing steps to optimize depth map accuracy. By supporting grayscale images of up to 8-bit depth and providing detailed disparity maps, it forms the backbone for various machine vision tasks. Built with efficiency in mind, ZIA SV supports AMBA AXI4 interface, ensuring seamless integration within high throughput data environments. Ideal for autonomous navigation systems, ZIA SV facilitates accurate real-time depth perception. This capability, combined with its minimal resource footprint, makes it a preferred choice for compact, power-sensitive applications needing reliable stereo vision processing.
The M3000 Graphics Processor from Digital Media Professionals is designed to deliver exceptional performance in 3D graphics rendering within compact, power-efficient packages. Optimized for high-performance visual computing, the M3000 provides state-of-the-art support for OpenGL ES 3.0, ensuring top-notch graphics output for embedded devices and edge computing. Exhibiting a scalable architecture, the M3000 allows precise customization to meet diverse performance and area efficiency requirements. It stands out with its prowess in handling VR and AR applications, demanding intensive graphical calculations and rendering. Through the use of DMP’s proprietary graphics architect, Musashi, the M3000 achieves unparalleled efficiency in power, performance, and area (PPA). Aligning with current industry needs, the processor supports multiple application interfaces including IoT devices, smartphones, automotive systems, and more. Its versatility extends to customization of graphical throughput, making the M3000 a pivotal component in devices that require advanced graphics processing capabilities.
RegSpec is a comprehensive register specification tool that excels in generating Control Configuration and Status Register (CCSR) code. The tool is versatile, supporting various input formats like SystemRDL, IP-XACT, and custom formats via CSV, Excel, XML, or JSON. Its ability to output in formats such as Verilog RTL, System Verilog UVM code, and SystemC header files makes it indispensable for IP designers, offering extensive features for synchronization across multiple clock domains and interrupt handling. Additionally, RegSpec automates verification processes by generating UVM code and RALF files useful in firmware development and system modeling.
Equipped with a new NPU architecture, the KL530 AI SoC stands out as a versatile chip supporting INT4 precision and transformers with remarkable efficiency. Designed for low-power consumption, it attains up to 1 TOPS@INT4 while maintaining high processing efficiency. Its smart ISP enhances image quality through AI inference. The KL530 is ideal for AIoT applications and multimedia processing, providing high-efficiency compression with less than 500 ms cold start time.
aiData introduces a fully automated data pipeline designed to streamline the workflow of automotive Machine Learning Operations (MLOps) for ADAS and autonomous driving development. Recognizing the enormous task of processing millions of kilometers of driving data, aiData employs automation from data collection to curation, annotation, and validation, enhancing the efficiency of data scientists and engineers. This crafted pipeline not only facilitates faster prototyping but also ensures higher quality in deploying machine learning models for autonomous applications. Key components of aiData include the aiData Versioning System, which provides comprehensive transparency and traceability over the data handling process, from recording to training dataset creation. This system efficiently manages metadata, which is integral for diverse use-cases, through advanced scene and context-based querying. In conjunction with the aiData Recorder, aiData automates data collection with precise sensor calibration and synchronization, significantly improving the quality of data for testing and validation. The aiData Auto Annotator further enhances operational efficiency by handling the traditionally labor-intensive process of data annotation using sophisticated AI algorithms. This process extends to multi-sensor data, offering high precision in dynamic and static object detection. Moreover, aiData Metrics tool evaluates neural network performance against baseline requirements, instantly detecting data gaps to optimize future data collection strategies. This makes aiData an essential tool for companies looking to enhance AI-driven driving solutions with robust, real-world data.
The ATEK367P4 is an advanced phase shifter designed for precise microwave frequency manipulation between 2 GHz and 4 GHz. Offering a continuous phase range of up to 375 degrees, it supports a variety of communication and signal processing applications. The minimal insertion loss of 3 dB ensures effective signal transmission without significant degradation. Control is achieved through a broad dynamic range, making the ATEK367P4 suitable for systems requiring fine-tuned phase control and high precision. Encased in a 4×4 mm QFN package, this phase shifter is ideal for integration into modular designs, enhancing compactness and functionality.
GSV3100 integrates a versatile shader architecture designed to support both 2D and 3D graphics applications seamlessly. Compatible with OpenGL ES 2.0, 1.1, and OpenVG 1.1 standards, it combines multiple rendering techniques suitable for the latest generation of embedded devices. This IP excels in providing high-quality graphical output with efficient resource management. Its design is optimal for applications demanding precise, intricate graphics without offsetting performance with excessive CPU strain. Further enhancing its utility, the GSV3100 ensures that both high-performance and energy-intensive tasks can be handled with ease, positioning it as a cornerstone for advanced embedded system designs.
The iniHDLC is designed as a flexible High-Level Data Link Controller (HDLC), encompassing both Receiver and Transmitter units for comprehensive data communication processes. Crafted to handle essential HDLC protocols like Q.921, Q.922, and LAPB, this IP offers full HDLC support with a structured VHDL implementation ideal for FPGA and ASIC platforms. The HDLC cores provide critical functionalities such as interframe flag handling, CRC-16 Frame Check Sequence (FCS) pattern management, and bit stuffing mechanisms. The transparent mode implementation permits tailored use across varied communication systems and networking environments. It integrates effortlessly into custom buffer setups, such as FIFO and DMA interfaces, thanks to its flexible I/O configurations. Engineered for broad protocol compatibility and ease of system integration, the iniHDLC IP is considered an invaluable asset for networked communication systems handling high data volumes and requiring robust error handling. Its meticulous design ensures system reliability and adaptability to diverse communication protocols, making it integral for advanced telecommunications applications.
The KL720 AI SoC offers an industry-leading performance-to-power ratio of 0.9 TOPS per Watt, rendering it suitable for high-performance applications. It's two to four times more power-efficient than its competitors, making it ideal for devices requiring significant processing capability. The chip facilitates real-time processing of 4K images and supports full HD video and 3D sensing, addressing applications in IP cams, smart TVs, AI glasses, and more, enabling gesture control for gaming and voice recognition.
aiSim is the world's first ISO26262 ASIL-D certified simulator, specifically designed for ADAS and autonomous driving validation. This state-of-the-art simulator captures the essence of AI-driven digital twin environments and sophisticated sensor simulations, key for conducting high-fidelity tests in virtual settings. Offering a flexible architecture, aiSim reduces reliance on costly real-world testing by recreating diverse environmental conditions like weather and complex urban scenarios, enabling comprehensive system evaluations under deterministic conditions. As a high-caliber tool, aiSim excels at simulating both static and dynamic environments, leveraging a powerful rendering engine to deliver deterministic, reproducible results. Developers benefit from seamless integration thanks to its modular use of C++ and Python APIs, making for an adaptable testing tool that complements existing toolchains. The simulator encourages innovative scenario creation and houses an extensive 3D asset library, enabling users to construct varied, detailed test settings for more robust system validation. aiSim's cutting-edge capabilities include advanced scenario randomization and simulation of sensor inputs across multiple modalities. Its AI-powered rendering streamlines the processing of complex scenarios, creating resource-efficient simulations. This makes aiSim a cornerstone tool in validating automated driving solutions, ensuring they can handle the breadth of real-world driving environments. It is an invaluable asset for engineers looking to perfect sensor designs and software algorithms in a controlled, scalable setting.
ZIA Image Signal Processing (ISP) by Digital Media Professionals is a comprehensive solution for enhancing image quality through sophisticated processing capabilities. Tailored to address the intricate demands of advanced imaging systems, it supports high dynamic range (HDR) functionality. This ISP is adept at functioning under challenging conditions like rain, fog, and harsh lighting, making it suitable for high-performing cameras and imaging devices. The integration of advanced HDR algorithms allows ZIA ISP to process images with minimal noise, offering clear and detailed outputs in various dynamic and high-contrast environments. The ISP is geared to work seamlessly with Sony's IMX390 image sensors, leveraging their capabilities to the fullest to deliver sharp and vivid imagery. Its prowess in managing high dynamic range is crucial for applications demanding exacting standards in visual fidelity. Further fortifying its imaging capabilities, ZIA ISP supports a broad spectrum of image formats and resolutions. With potential deployment across ASIC, ASSP, SoC, and FPGA architectures, this ISP is engineered for adaptability in diverse systems, ensuring high-resolution image capture and processing efficiencies.
The HUMMINGBIRD is an advanced Optical Network-on-Chip (NoC), designed to optimize data flow within complex computing environments. By integrating photonic networking capabilities, HUMMINGBIRD allows for streamlined data communication across chip components, reducing latency and power use significantly. Its architecture is geared towards accommodating rapid, efficient data processing, proving essential for data centers aiming to enhance internal communication without the bottleneck of traditional electronic interconnections. As an embodiment of optical advancements, HUMMINGBIRD sets the stage for enhanced computational harmony and performance.
The MVUM1000 Ultrasound Sensor Array is a state-of-the-art medical imaging tool utilizing CMUT technology. Its linear array of up to 256 elements allows for high sensitivity and integrability with interface electronics. Supporting various imaging modes, it is ideal for handheld and cart-based ultrasound devices, maximizing usability while minimizing power consumption for effective medical diagnostics.
The Neuropixels Probe is a groundbreaking tool that provides researchers with comprehensive insights into brain functions by allowing simultaneous recording of electrical activity from hundreds of neurons. Imec’s innovation in neural probe technology facilitates experiments that were previously unattainable due to the limited scale of conventional methods. Developed in collaboration with world-leading neuroscience experts, the Neuropixels Probe delivers unprecedented data quality and scale in neural recording. Featuring a high-density array of electrodes, the probe captures wide-ranging data from distinct neuronal circuits across the brain, enabling researchers to unlock new understandings of complex neural activities and disease processes. The probe's capability to monitor minute changes over time enhances its utility in neuroscience research focused on brain disorders, neural computation, and cognitive processes. Imec's Neuropixels Probe combines precision engineering with advanced semiconductor technologies to meet the demanding requirements of neuroscience research. Ensuring minimal invasive interference thanks to its ultra-fine construction, it’s a pivotal development tool in modern neuroscience labs. The adaptability and precision of the Neuropixels Probe significantly enhance the scope of neuro-research methodologies, ultimately paving the way for breakthroughs in understanding brain networks and developing therapeutic strategies.
The Video Wall management system is crafted to transform a single video input into multiple display outputs, tailored for applications such as digital signage and event displays. Capable of handling HDMI or DisplayPort inputs with resolutions up to 3840x2400p60, it processes signals for display across a variety of output configurations. Each output supports configurations up to 1920x1200p60 across up to four distinct displays, incorporating bezel compensation and EDID compatibility for streamlined operation. This versatile system is engineered for easy extension and customization, making it a formidable tool for sophisticated display setups.
The Bluetooth Digital Clock - Levo Series blends cutting-edge Bluetooth® technology with digital timekeeping, providing synched time across all connected devices within a facility. This series is particularly advantageous in settings that require minimal wiring, as Bluetooth connectivity simplifies installation and reduces infrastructure costs. Designed for precision and reliability, the Levo series clocks are perfect for environments such as schools, offices, and hospitals, where maintaining accurate time is essential. Primex’s Bluetooth technology ensures that each clock receives real-time updates and maintains synchronization, thus eliminating manual time-setting procedures. Operating within the Primex OneVue platform, the Levo Series allows for streamlined clock management across multiple locations. By opting for the Bluetooth connectivity feature, institutions can maintain a tidy environment free from extensive wiring, while still benefiting from the precision and reliability synonymous with Primex products.
The RAIV General Purpose GPU (GPGPU) from Siliconarts is engineered to provide high-performance acceleration for a wide array of computational tasks. As a versatile GPGPU, RAIV is designed to facilitate advancements in numerous sectors impacted by the fourth industrial revolution, including autonomous vehicles, the Internet of Things (IoT), virtual reality (VR), and data centers. Its primary function is to enhance the processing speed of complex data sets and enable intricate computations with improved efficiency. Particularly adept at managing intensive parallel processes, the RAIV GPGPU is instrumental in applications requiring substantial data throughput and computational power. Its architecture enables it to handle significant volumes of data with low latency while maintaining energy-efficient operations. This makes the RAIV an ideal choice for applications where computational precision and speed are paramount, such as in machine learning and data analytics. Through its integration with existing systems, the RAIV enhances performance and introduces new potentials in data computation and process automation. This GPGPU exemplifies Siliconarts' commitment to fostering innovation across diverse technology ecosystems, providing developers with tools to push the frontiers of what's possible in digital processing.
iCEVision is an evaluation platform for the iCE40 UltraPlus FPGA featuring rapid prototyping capabilities for connectivity functions. It allows designers to test key connectivity features, facilitating quick solution implementation and confirmation of design integrity. iCEVision supports common camera interfaces such as ArduCam CSI and PMOD, aiding in seamless integration into existing workflows. Compatible with tools like Lattice Diamond Programmer and iCEcube2, which are available for free download, iCEVision supports customization by allowing easy reprogramming of onboard SPI Flash. This platform is equipped with practical user interfaces to ensure simple connectivity and programming. Designed with a streamlined user experience in mind, iCEVision includes preloaded RGB demo applications and a bootloader for straightforward USB programming. This makes it an excellent choice for developers aiming to maximize productivity and ensure robust device connections.
The Trifecta-GPU is a sophisticated family of COTS PXIe/CPCIe GPU Modules by RADX Technologies, designed for substantial computational acceleration and ease of use in PXIe/CPCIe platforms. Powered by the NVIDIA RTX A2000 Embedded GPU, it boasts up to 8.3 FP32 TFLOPS performance, becoming a preferred choice for modular Test & Measurement (T&M) and Electronic Warfare (EW) systems. It integrates seamlessly into systems, supporting MATLAB, Python, and C/C++ programming, making it versatile for signal processing, machine learning, and deep learning inference applications. A highlight of the Trifecta-GPU is its remarkable computing prowess coupled with its design that fits within power and thermal constraints of legacy and modern chassis. It is available in both single and dual-slot variants, with the capability to dissipate power effectively, allowing users to conduct fast signal analysis and execute machine learning algorithms directly where data is acquired within the system. With its peak performance setting new standards for cost-effective compute acceleration, the Trifecta-GPU also supports advanced computing frameworks, ensuring compatibility with a myriad of applications and enhancing signal classification and geolocation tasks. Its hardware capabilities are complemented by extensive software interoperability, supporting both Windows and Linux environments, further cementing its position as a top-tier solution for demanding applications.
The ELFIS2 is a sophisticated visible light imager designed by Caeleste, incorporating a robust radiation-hard design to ensure reliability in demanding environments prone to radiation exposure. It features a true high dynamic range (HDR), enabling it to function effectively even in varied lighting conditions without compromising image quality. Additionally, its motion artifact-free (MAF) imaging ensures precision and clarity in capturing moving objects, a crucial requirement for dynamic applications. The sensor is equipped with a global shutter, enabling it to capture all pixels in the field of view concurrently, a feature that is paramount for high-speed imaging applications. The incorporation of backside illumination (BSI) optimizes the sensor's performance by enhancing sensitivity and reducing noise, thereby improving the overall image output quality. This imaging solution is particularly suitable for space and scientific imaging applications, where high-performance imaging is paramount. The ELFIS2's features make it ideal for applications that demand high fidelity and radiation resistance, truly standing out as a reliable component for cutting-edge imaging needs in challenging environments.
The RayCore MC is a state-of-the-art real-time path and ray-tracing graphics processing unit (GPU) designed to enhance rendering efficiency while maintaining reduced power consumption. This GPU is particularly adept at delivering highly realistic graphics through advanced ray tracing capabilities. With its low-power design, the RayCore MC is optimized for industries that require robust real-time graphics rendering, making it perfect for gaming and immersive virtual environments. Built on cutting-edge architecture, the RayCore MC accelerates the computation of complex image structures by simulating how light interacts with various surfaces. This results in enhanced graphic realism where minute details of light and shadow are vividly portrayed, greatly enriching visual experiences. By leveraging AI processing, this GPU not only improves the speed and quality of rendering but also enables innovative features that push the boundaries of current graphical capabilities. The RayCore MC has been widely recognized for its contributions to the evolution of graphic technology, earning accolades such as being listed among top HPC solutions. With its potent blend of power efficiency and high-performance rendering, it serves as a critical component for developers aiming to build next-generation graphics applications.
Himax offers a comprehensive range of display driver ICs tailored for large-sized panels, including monitors, notebooks, and LCD TVs. These components are pivotal in driving high-resolution and vivid display outputs. With innovations that go beyond traditional applications, these drivers include timing controllers, source drivers, gate drivers, and programming gamma/Vcom operational buffers. The synchronization and precision of these units ensure that displays are not just functional but vibrant and user-friendly. Himax's display drivers are crafted to meet the needs of top panel manufacturers in Korea, Taiwan, China, and Japan, marking the company's strong foothold in the global market.<br> <br> The innovation underpinning these large-panel drivers also addresses critical power management and integration efficiencies, allowing for seamless incorporation into various digital ecosystems. As the demand for larger displays in both consumer and professional environments grows, Himax continues to push the boundaries, ensuring displays are not only clear but also energy-efficient and reliable.<br> <br> This commitment to quality and innovation underscores Himax's position as a leader in the display driver IC sector, providing solutions that enhance image clarity, reduce energy consumption, and support high-quality visual outputs for diverse applications.
The Catalyst-GPU series by RADX Technologies brings advanced graphics and computational acceleration to PXIe/CPCIe platforms, leveraging NVIDIA’s robust technology to extend capabilities within modular Test & Measurement and Electronic Warfare applications. These GPUs sport significant computational power, delivering up to 2.5 FP32 TFLOPs with NVIDIA Quadro T600 and T1000 models. Distinguished by their ease of use, Catalyst-GPUs support MATLAB, Python, and C/C++ programming, alongside a plethora of computing frameworks, enabling efficient signal processing, machine learning, and deep learning applications. This makes them an excellent fit for signal classification and geolocation, as well as semiconductor and PCB testing. Catalyst-GPUs’ unique capabilities lie in their ability to process large FFTs in real-time, elevating signal processing precision significantly. Their integration into PXIe systems allows users to conduct faster, more accurate data analyses right where data is acquired. With support for both Windows and Linux environments, Catalyst-GPUs are crafted for versatility and effectiveness across a wide range of technical requirements.
Systems4Silicon's Crest Factor Reduction (CFR) Technology, named FlexCFR, is an advanced solution designed to optimize the performance of RF power amplifiers by limiting transmit signal envelope. This enables significant improvements in amplifier efficiency by increasing the average transmit power while reducing peak-power demands. FlexCFR stands out for its vendor-independence, allowing it to be configured for any FPGA or ASIC platform, and dynamic adaptability to accommodate various communication standards including multi-carrier signals. FlexCFR offers several advantages, such as reducing the costs associated with higher peak-power requirements and improving overall amplifier efficiency. The product allows for real-time changes, supporting a variety of standard and non-standard communication systems, ensuring a tailored fit for different networking needs. The technologically sophisticated CFR can adjust the Peak to Average Power Ratio (PAPR) to balance spectral emission performance against in-channel outcomes, providing versatile operational benefits. Designed for comprehensive adaptability, FlexCFR is compatible with DPD solutions and envelope tracking, offering robust functionality in diverse network setups. The system is known for its deterministic behavior, facilitating accurate off-line modeling for performance predictions and system optimization. Systems4Silicon offers detailed documentation and ongoing support from experienced engineers to help users harness the full potential of FlexCFR technology.
The VibroSense AI Chip is a cutting-edge solution designed for vibration analysis in Industrial IoT applications. It is based on the Neuromorphic Analog Signal Processor, which preprocesses raw sensor data, significantly reducing the amount of data to be stored and transmitted. This chip is particularly beneficial in predictive maintenance applications, where it helps in the early detection of potential machinery failures by analyzing vibrations generated by industrial equipment. VibroSense excels in overcoming the traditional challenges linked to data processing for condition monitoring systems. By performing data preprocessing at the sensor level, it minimizes data volumes by a thousand times or more, making it feasible to conduct condition monitoring over narrow-bandwidth communications and at lower operational costs. This ensures industrial operations can identify issues like bearing wear or imbalance effectively, ultimately extending equipment life and improving safety. The implementation of VibroSense's neural network architecture enables it to handle complex vibration signals with high accuracy. It supports energy-efficient designs, providing a compelling solution for industries aiming to optimize maintenance operations without increasing their OPEX. Its ease of integration with standard sensor nodes and support for energy harvesting applications further enhances its market appeal.
Himax Technologies offers a versatile range of CMOS Image Sensors designed to cater to a multitude of camera applications across industries. Their lineup emphasizes small pixel sensors that deliver high performance while maintaining low power consumption, qualities highly prized for integration into mobile and compact devices. These sensors are equipped with programmable readout modes, adjustable integration times, gain controls, and MIPI serial link interfaces for flexible integration into diverse systems.<br> <br> The Always On Sensor category under Himax stands out with its remarkable power efficiency, functioning within sub-milliwatt power ranges. These sensors enable devices to be perpetually ready to capture images, responding with unparalleled speed thanks to their autonomous operation capabilities. The emphasis on ultra-low power requirements makes them particularly suitable for battery-powered, portable devices looking to incorporate real-time sensor functionality.<br> <br> For markets demanding the highest level of system integration, Himax also offers the Image Sensor SOC line. These systems combine the sensor core with an adaptable image signal processor and control loops, simplifying the camera development process. Such innovations streamline product design, allowing developers to bring high-performance camera solutions to market with less time and complexity.
The mobile handset display drivers from Himax Technologies deliver exceptional performance for integrating high-quality displays in compact devices. These drivers efficiently combine a range of essential components, including source and gate drivers, timing controllers, frame buffers, and DC to DC circuits into robust single-chip solutions. Designed for flexibility, these drivers are adaptable to various mobile handset display technologies, contributing significantly to the enhancement of responsive and crisp visuals on smaller screens.<br> <br> As mobile devices continue to adopt higher resolutions and demanding display functionalities, Himax's offerings ensure that manufacturers can create visually stunning products that cater to today's tech-savvy consumers. The comprehensive integration helps manufacturers reduce the complexity of their device architectures all while maintaining distinct performance and energy efficiency standards.<br> <br> This innovative approach by Himax not only improves user experience by promoting stunning visual fidelity but also optimizes the battery consumption, making it pivotal in the high-demand world of contemporary mobile technology.
The Vector Unit from Semidynamics is an extensively configurable RISC-V processing component designed to handle multiple types of arithmetic and logic operations across various data types. Fully customizable for performance to specific application needs, it supports an adjustable data and vector path length, allowing for seamless integration into diverse processing environments. This unit is compatible with the RISC-V Vector 1.0 Specification and supports integer and floating-point operations across data widths from 8 to 64 bits and beyond. With a scalable design, the Vector Unit enables configuration of the vector core count and corresponding data path widths, catering to a variety of power-performance-area trade-off scenarios. The machine can integrate with up to 32 vector cores, enabling wide adoption across different segments of computing, from AI to standard processing tasks. Designed to interface efficiently with other Semidynamics technologies, such as the Tensor Unit, and equipped with the Gazzillion Misses™ for data flow optimization, this unit is fortified for advanced AI requirements and general-purpose processing tasks. Moreover, its seamless deployment within Linux environments underscores its flexibility and ease of integration into existing systems.
The SMS Fully Integrated Gigabit Ethernet & Fibre Channel Transceiver Core is engineered for high-efficiency communication applications requiring robust performance. This core supports IEEE 802.3z compliance for Gigabit Ethernet over fiber and copper media, ensuring seamless integration with existing network infrastructures. Its design emphasizes full duplex operation, facilitated by a 10-bit controller interface for both transmit and receive data paths. A discerning feature of this transceiver core is its precise clock recovery DLL and PLL architecture, crucial for high-speed data alignment and minimizing jitter. This robust clocking mechanism is complemented by high-speed drivers and low jitter PECL outputs, optimizing the core for performance in demanding networking environments. Moreover, the core’s architecture supports advanced features such as programmable receive cable equalization and embedded Bit Error Rate Testing (BER). Its CMOS implementation reduces power consumption and enhances cost-efficiency, ensuring a compact fit in various system architectures.
The ATEK552 is a high-powered GaN-based power amplifier capable of delivering 6 watts of output power within the frequency range of 3 to 17 GHz. This amplifier is tailored for high-efficiency power applications where robustness and reliability are crucial. It offers a gain of 21 dB and operates with a supply voltage of 28 volts, consuming 510 mA of current. Such specifications make it an excellent choice for demanding environments where high power and reliability are needed. Its die package facilitates versatile application in designs that prioritize performance and space efficiency.
The High Performance FPGA PCIe Accelerator Card is a compact solution designed to enhance server capabilities through efficient and rapid data processing. Featuring the Intel Arria 10 FPGA, it supports acceleration of computation-heavy tasks and can interface seamlessly with low-power systems, providing substantial throughput improvements in processing video and data. Equipped with multiple DDR3 memory banks and a PCIe x8 Gen3 interface, this card excels in applications ranging from video encoding and decoding to scientific computations and algorithmic trading. The versatility of the card makes it suitable for a variety of scenarios requiring high-density and cost-effective FPGA solutions.
The High Performance FPGA PCIe Accelerator Card is a compact solution designed to enhance server capabilities through efficient and rapid data processing. Featuring the Intel Arria 10 FPGA, it supports acceleration of computation-heavy tasks and can interface seamlessly with low-power systems, providing substantial throughput improvements in processing video and data. Equipped with multiple DDR3 memory banks and a PCIe x8 Gen3 interface, this card excels in applications ranging from video encoding and decoding to scientific computations and algorithmic trading. The versatility of the card makes it suitable for a variety of scenarios requiring high-density and cost-effective FPGA solutions.
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