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 Origin E1 is a highly efficient neural processing unit (NPU) designed for always-on applications across home appliances, smartphones, and edge nodes. It is engineered to deliver approximately 1 Tera Operations per Second (TOPS) and is tailored for cost- and area-sensitive deployment. Featuring the LittleNPU architecture, the Origin E1 excels in low-power environments, making it an ideal solution for devices where minimal power consumption and area are critical. This NPU capitalizes on Expedera's innovative packet-based execution strategy, which allows it to perform parallel layer execution for optimal resource use, cutting down on latency, power, and silicon area. The E1 supports a variety of network types commonly used in consumer electronics, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and more. A significant advantage of Origin E1 is its scalability and market-leading power efficiency, achieving 18 TOPS/W and supporting standard, custom, and proprietary networks. With a robust software stack and support for popular AI frameworks like TensorFlow and ONNX, it ensures seamless integration into a diverse range of AI applications.
The Origin E8 neural processing unit (NPU) stands out for its extreme performance capabilities, designed to serve demanding applications such as high-end automotive systems and data centers. Capable of delivering up to 128 TOPS per core, this NPU supports the most advanced AI workloads seamlessly, whether in autonomous vehicles or data-intensive environments. By employing Expedera's packet-based architecture, Origin E8 ensures efficient parallel processing across layers and achieves impressive scalability without the drawbacks of increased power and area penalties associated with tiled architectures. It allows running extensive AI models that cater to both standard and custom requirements without compromising on model accuracy. The NPU features a comprehensive software stack and full support for a variety of frameworks, ensuring ease of deployment across platforms. Scalability up to PetaOps and support for resolutions as high as 8K make the Origin E8 an excellent solution for industries that demand unrivaled performance and adaptability.
The Origin E2 is a versatile, power- and area-optimized neural processing unit (NPU) designed to enhance AI performance in smartphones, edge nodes, and consumer devices. This NPU supports a broad range of AI networks such as RNNs, LSTMs, CNNs, DNNs, and others, ensuring minimal latency while optimizing for power and area efficiency. Origin E2 is notable for its adaptable architecture, which facilitates seamless parallel execution across multiple neural network layers, thus maximizing resource utilization and providing deterministic performance. With performance capabilities scalable from 1 to 20 TOPS, the Origin E2 maintains excellent efficiency up to 18 TOPS per Watt, reflecting its superior design strategy over traditional layer-based solutions. This NPU's software stack supports prevalent frameworks like TensorFlow and ONNX, equipped with features such as mixed precision quantization and multi-job APIs. It’s particularly suitable for applications that require efficient processing of video, audio, and text-based neural networks, offering leading-edge performance in power-constrained environments.
The Chimera GPNPU stands as a powerful neural processing unit tailor-made for on-device AI computing. This processor architecture revolutionizes the landscape of SoC design, providing a unified execution pipeline that integrates both matrix and vector operations with control code typically handled by separate cores. Such integration boosts developer productivity and enhances performance significantly. The Chimera GPNPU's ability to run diverse AI models—including classical backbones, vision transformers, and large language models—demonstrates its adaptability to future AI developments. Its scalable design enables handling of extensive computational workloads reaching up to 864 TOPs, making it suitable for a wide array of applications including automotive-grade AI solutions. This licensable processor core is built with a unique hybrid architecture that combines Von Neuman and 2D SIMD matrix instructions, facilitating efficient execution of a myriad array of data processing tasks. The Chimera GPNPU has been optimized for integration, allowing seamless incorporation into modern SoC designs for high-speed and power-efficient computing. Key features include a robust instruction set tailored for ML tasks, effective memory optimization strategies, and a systematic approach to on-chip data handling, all working to minimize power usage while maximizing throughput and computational accuracy. Furthermore, the Chimera GPNPU not only meets contemporary demands of AI processing but is forward-compatible with potential advancements in machine learning models. Through comprehensive safety enhancements, it addresses stringent automotive safety requirements, ensuring reliable performance in critical applications like ADAS and enhanced in-cabin monitoring systems. This combination of performance, efficiency, and scalability positions the Chimera GPNPU as a pivotal tool in the advancement of AI-driven technologies within industries demanding high reliability and long-term support.
The Mixed-Signal CODEC offered by Archband Labs stands out as a versatile solution integrating both analog and digital functionalities. This CODEC is designed to meet the demands of various audio and voice processing applications, ensuring high fidelity and low power consumption. Equipped with robust conversion capabilities, it's suitable for a range of environments from wearable tech to automotive systems, ensuring clear and precise sound reproduction. The CODEC forms a crucial part of devices like smart home appliances and AR/VR gadgets, where audio quality is paramount.
The Origin E6 NPU is engineered for high-performance on-device AI tasks in smartphones, AR/VR headsets, and other consumer electronics requiring cutting-edge AI models and technologies. This neural processing unit balances power and performance effectively, delivering between 16 to 32 TOPS per core while catering to a range of AI workloads including image transformers and point cloud analysis. Utilizing Expedera’s unique packet-based architecture, the Origin E6 offers superior resource utilization and ensures performance with deterministic latency, avoiding the penalties typically associated with tiled architectures. Origin E6 supports advanced AI models such as Stable Diffusion and Transformers, providing optimal performance for both current and predicted future AI workloads. The NPU integrates seamlessly into chip designs with a comprehensive software stack supporting popular AI frameworks. Its field-proven architecture, deployed in millions of devices, offers manufacturers the flexibility to design AI-enabled devices that maximize user experience while maintaining cost efficiency.
The GSHARK GPU IP accelerates graphics on embedded systems, delivering high performance with low power consumption while minimizing CPU load. Designed for embedded devices like digital cameras and automotive equipment, the GSHARK-IP leverages advanced proprietary architectures to achieve smooth graphics rendering akin to those seen on PCs and gaming consoles. Its proven track record with over a hundred million shipments highlights its reliability in commercial silicons.
The GV380 IP leverages OpenVG 1.1 standards to enhance vector graphic capabilities within embedded systems. This GPU IP focuses on reducing CPU load while boosting pixel performance, making it highly suited for environments requiring fast, efficient vector processing. Its architecture facilitates seamless graphics rendering that enriches user experiences across a variety of applications.
The KL730 AI SoC is equipped with a state-of-the-art third-generation reconfigurable NPU architecture, delivering up to 8 TOPS of computational power. This innovative architecture enhances computational efficiency, particularly with the latest CNN networks and transformer applications, while reducing DDR bandwidth demands. The KL730 excels in video processing, offering support for 4K 60FPS output and boasts capabilities like noise reduction, wide dynamic range, and low-light imaging. It is ideal for applications such as intelligent security, autonomous driving, and video conferencing.
The GV580 IP integrates both 2D and 3D graphics capabilities, adhering to OpenVG 1.1 and OpenGLES 1.1 standards. It provides a robust solution for rendering complex graphic scenes with high efficiency, promoting low power consumption and minimal CPU involvement. This GPU IP is designed for embedded systems that demand dynamic graphic displays while ensuring optimal system performance.
The Arria 10 System on Module (SoM) is designed with an emphasis on embedded and automotive vision applications. This compact module leverages Altera's Arria 10 SoC devices in a sleek 29x29 mm package, offering a plethora of interfaces while maintaining a small, efficient form factor. It features an Altera Arria 10 SoC FPGA with a range from 160 to 480 KLEs, coupled with a Cortex A9 Dual-Core CPU. This enables robust integration and performance for demanding applications. The module's power management system ensures a seamless power-up and -down sequence, requiring only a 12V supply from the baseboard. Its dual DDR4 memory interfaces provide up to 2.4 Gbit/s per pin, offering a total bandwidth of up to 230 Gbit/s for both CPU and FPGA memory systems. This module supports a wide array of high-speed interfaces, including PCIe Gen3 x8, 10/40 Gbit/s Ethernet, DisplayPort, and 12G SDI, making it suitable for complex imaging and communication tasks. Additional features include up to 32 LVDS lanes for configurable RX or TX, two USB interfaces with OTG support, and ARM I²C, SPI, and GPIO interface signals. Furthermore, the Arria 10 SoM includes pre-configured IP for memory controllers and an Angstrom Linux distribution, facilitating rapid development and deployment of applications.
The GSV3100 IP is a shader architecture-based 3D graphics solution supporting OpenGL ES 2.0/1.1 and OpenVG 1.1. It incorporates an advanced hardware processing pipeline, ideal for rendering sophisticated graphics applications that require complex shading and rendering strategies in real-time, suitable for high-performance embedded systems.
The GH310 IP offers high-performance 2D sprite graphics processing, characterized by its exceptional pixel processing capacity and reduced gate count. It excels in environments where precise sprite management and rendering efficiency are paramount, catering to applications where standout 2D graphic performance is required.
VisualSim Architect is a sophisticated software platform dedicated to the modeling and simulation of system performance, power, and functionality. It empowers system engineers to explore designs virtually, measuring potential bottlenecks and power consumption before actual production begins. The platform aids in validating different hardware and software architectures, ensuring that the system is designed for optimal efficiency and performance. It also enables users to create virtual prototypes that mimic real-life system behaviors, thus facilitating a deeper understanding of potential implementation challenges. This preemptive approach allows companies to fine-tune their designs, ensuring that all components work harmoniously, thereby reducing risk and accelerating time-to-market. Furthermore, the platform's flexible system-level modeling capabilities cater to a diverse range of application fields, from automotive to consumer electronics.
ZIA Stereo Vision is an advanced stereoscopic vision module designed to provide precise distance estimation. By combining left and right camera inputs, it leverages semi-global matching algorithms to derive depth maps essential for applications like autonomous vehicles and robotic navigation. It operates under varying image resolutions and provides high-speed processing, ensuring integration into systems where rapid environmental mapping is crucial. Its hardware design optimizes power, space, and performance metrics, making it ideal for high-demand use cases that rely on accurate spatial awareness.
The KL630 AI SoC embodies next-generation AI chip technology with a pioneering NPU architecture. It uniquely supports Int4 precision and transformer networks, offering superb computational efficiency combined with low power consumption. Utilizing an ARM Cortex A5 CPU, it supports a range of AI frameworks and is built to handle scenarios from smart security to automotives, providing robust capability in both high and low light conditions.
The MVUM1000 ultrasound sensor array is highly specialized for medical imaging applications, offering a 256-element linear array formation. Employing capacitive micromachined ultrasound transducers (CMUT), it ensures superior sensitivity and integrability with modern interface electronics. This ultrasound sensor caters specifically to medical imaging, facilitating real-time diagnosis with applications in point-of-care and handheld devices. The use of capacitive transduction enables high sensitivity to acoustic pressure while maintaining minimal power consumption, an advantage in power-sensitive applications. Equipped with integrated front-end electronics, the MVUM1000 supports multiple imaging modes. The sensor's compact, yet highly efficient design ensures it meets the stringent needs of modern medical equipment while offering customization opportunities for specific technological demands.
The M3000 Graphics Processor series introduces a high-performance 3D graphics core supporting complex computational and visual tasks required by modern graphics-intensive applications. Emphasizing reduced power consumption alongside peak performance, it is crafted with industry-standard OpenGL ES 3.0 support. This GPU core provides customizable shader architectures to meet the diverse needs of consumer electronics, IoT devices, and smart systems, ensuring versatility and efficiency. By supporting top-tier PPA (Power, Performance, Area) metrics, it meets demanding expectations for graphics rendering.
The RayCore MC is a state-of-the-art real-time path and ray-tracing GPU that delivers high-definition, photo-realistic graphics with exceptional energy efficiency. Utilizing advanced path tracing technology, this GPU excels in rendering complex 3D images by simulating natural light behaviors such as global illumination and soft shadows. Its small form factor and low-power architecture make it ideal for mobile and embedded devices, supporting a broad range of high-end applications from gaming to augmented reality. Optimized with a MIMD (Multiple Instruction, Multiple Data) architecture, the RayCore MC supports independent parallel computation, enabling effective real-time path and ray tracing regardless of the graphic complexity. As a fully hardwired solution, it ensures linear scalability, enhancing graphics performance as it scales up in multi-core configurations. This GPU is designed to cater to the high demands of photo-realistic rendering in movies, education, simulations, and more. The RayCore MC uniquely supports immersive game environments and high-intensity virtual applications. Its sophisticated hardware design and support for advanced features facilitate cost-effective, low-power graphics solutions, making it an industry leader in cutting-edge GPU technology.
The ZIA Image Signal Processing solution, tailored for high-performance image tasks, brings exceptional capabilities to handle challenging environments. It supports Sony's high-sensitivity image sensor IMX390, ensuring superior noise reduction even in harsh lighting conditions like rain or glare. Designed to work with HDR functions, it supports dynamic range compression and other image transformations to provide clarity in diverse scenarios. The ISP maintains image quality across various lenses and configurations, allowing for robust real-time processing crucial for automotive and industrial environments.
The KL520 AI SoC by Kneron marked a significant breakthrough in edge AI technology, offering a well-rounded solution with notable power efficiency and performance. This chip can function as a host or as a supplementary co-processor to enable advanced AI features in diverse smart devices. It is highly compatible with a range of 3D sensor technologies and is perfectly suited for smart home innovations, facilitating long battery life and enhanced user control without reliance on external cloud services.
Trifecta-GPU is a pioneering family of PXIe/CPCIe GPU modules that deliver high performance computing through NVIDIA RTX A2000 Embedded GPUs. These GPUs offer substantial compute acceleration and are designed for modular Test & Measurement (T&M) and Electronic Warfare (EW) applications. The platform is easy-to-program, supporting a wide range of frameworks like MATLAB, Python, and C/C++, making it a versatile choice for demanding signal processing, AI-based signal classification, geolocation, and other advanced computing needs. The Trifecta-GPU boasts 8GB of GDDR6 DRAM and can achieve up to 8.3 FP32 TFLOPS of peak compute performance. It uses the PCIe Express 4.0 interface, ensuring robust connectivity and performance across various applications. By supporting both single and dual-slot configurations, it provides flexibility in systems with varying power and thermal dissipation constraints. With its remarkable power efficiency, the Trifecta-GPU becomes a vital component for systems requiring high signal resolution and is adept at handling complex computations needed for low probability of intercept signal detection among other tasks. This makes it an ideal choice for semiconductor and PCB testing, failure prediction, and more, under both Windows and Linux environments.
The Semidynamics Vector Unit is a powerful processing element designed for applications requiring complex parallel computations such as those found in machine learning and AI workloads. Its remarkable configurability allows it to be adapted for different data types ranging from 8-bit integers to 64-bit floating-point numbers, supporting standards up to RVV 1.0. The unit can perform a wide array of operations due to its included arithmetic units for addition, subtraction, and complex tasks like multiplication and logic operations. PHased to deliver exceptional performance, the Vector Unit leverages a cross-vector-core network that ensures high bandwidth connectivity among its vector cores, capable of scaling up to 32 cores. This feature helps maximize operational efficiency, allowing tasks to be distributed across multiple cores for optimized performance and power efficiency. Its design caters to extensive data path configurations, allowing users to choose from DLEN options ranging from 128 bits to an impressive 2048 bits in width. Moreover, this Vector Unit supports flexible hardware setups by aligning vector register lengths (VLEN) with the data path requirements, offering up to an 8X ratio between VLEN and DLEN. This capability enhances its adaptability, allowing it to absorb memory latencies effectively, making it particularly suitable for AI inferencing tasks that require rapid iteration and heavy computational loads. Its integration with existing Semidynamics technologies like the Tensor Unit ensures a seamless performance boost across hardware configurations.
Kneron's KL530 introduces a modern heterogeneous AI chip design featuring a cutting-edge NPU architecture with support for INT4 precision. This chip stands out with its high computational efficiency and minimized power usage, making it ideal for a variety of AIoT and other applications. The KL530 utilizes an ARM Cortex M4 CPU, bringing forth powerful image processing and multimedia compression capabilities, while maintaining a low power footprint, thus fitting well with energy-conscious devices.
The RAIV is a flexible and high-performing General Purpose GPU (GPGPU), fundamental for industries experiencing rapid transformation due to the fourth industrial revolution—autonomous vehicles, IoT, and VR/AR sectors. Built with a SIMT (Single Instruction Multiple Threads) architecture, the RAIV enhances AI workloads with high-speed processing capabilities while maintaining a low-cost construct. This semiconductor IP supports diverse machine learning and neural network applications, optimizing high-speed calculations across multiple threads. Its high scalability allows tailored configurations in core units, effectively balancing performance with power efficiency dependent on application needs. The RAIV is equipped to handle 3D graphics processing and AI integration for edge computing devices, reinforcing its place in advanced technological development. Additionally, the RAIV's support for OpenCL offers compatibility across various heterogeneous computing platforms, facilitating versatile system configurations. Its optimal performance in AI tasks is further extended for use in metaverse applications, presenting a comprehensive solution that unifies graphics acceleration with AI-enhanced computational operations.
The ATEK367P4 is an analog phase shifter known for its precision in controlling phase angles across frequencies between 2 and 4 GHz. Featuring a loss of 3 dB, it supports phase adjustments from 0 to 375 degrees, making it incredibly useful for applications where precise phase alignment is critical. This device incorporates innovative control voltage mechanisms, facilitating smooth and accurate phase transitions. Encased in a 4x4mm QFN package, it offers flexibility and efficiency in RF path management. Ideal for phased arrays and radar systems, the ATEK367P4 caters to complex RF designs that demand high accuracy in signal phase control. It plays a crucial role in enhancing the functional scalability of RF systems, lending itself to advanced modulation techniques and beamforming applications. This phase shifter addresses the need for dynamic and reliable signal manipulation in environments where timely signal processing and adaptive algorithms are central to system performance. The ATEK367P4 provides engineers with the tools to achieve meticulous control over RF signals, promoting improved performance in sophisticated communication platforms.
HUMMINGBIRD is a revolutionary optical network-on-chip processor aimed at addressing demanding AI workloads. By integrating a photonic and electronic die into a single package through advanced vertically stacked packaging technology, it offers a breakthrough approach for overcoming the limitations of memory bandwidth and latency. This innovative design allows integration with silicon photonics, enabling an all-to-all data broadcast network across multiple cores of an AI processor chip. This setup substantially enhances communication efficiency, reducing both power usage and latency. Unlike traditional networks, HUMMINGBIRD's architecture allows for improved density scaling and mapping freedom for computational tasks. Its co-packaging in a PCIe form factor makes HUMMINGBIRD suitable for high-performance data centers, providing interoperability and support for AI tasks through the Lightelligence Software Development Kit (SDK). This system not only facilitates superior workload management but also sets a new standard for high-performance computing solutions in data centers.
Designed for high power efficiency, the KL720 AI SoC achieves a superior performance-per-watt ratio, positioning it as a leader in energy-efficient edge AI solutions. Built for use cases prioritizing processing power and reduced costs, it delivers outstanding capabilities for flagship devices. The KL720 is particularly well-suited for IP cameras, smart TVs, and AI glasses, accommodating high-resolution images and videos along with advanced 3D sensing and language processing tasks.
Granite SemiCom's Sensor Interface Boards are crafted to enhance connectivity with various sensor types. These boards are compatible with small-board computers like the Beagle-Bone Black and Raspberry Pi, facilitating integration of 24-bit A/D converters, temperature/humidity sensors, and accelerometers via I2C and SPI interfaces. Each board includes essential components such as real-time clocks and EEPROMs, with customization options for specific applications. Their compatibility with a wide range of sensors makes them an invaluable asset for monitoring applications requiring precision and adaptability.
InPsytech's Display Interface IP supports a wide range of display technologies, including DP 1.4, HDMI, and LVDS. These interfaces are vital for high-definition visual data transmission, catering to applications in consumer electronic devices and professional displays. The Display Interface solutions emphasize quality, ensuring crisp, clear image rendering and reliable connectivity.
The DPU Networking Solution from Corigine features the Agilio family of products that focus on enhancing server-based networking. This solution is designed for data centers and service providers who require a robust platform for managing complex networking demands, including virtual network functions such as security and load balancing.<br> <br> Agilio's architecture takes full advantage of both hardware and software developments, offering significant reductions in capital expenditures by completely offloading datapaths from compute nodes using Open vSwitch. This not only restores valuable CPU resources to applications but also improves service levels and ROI. With support for up to 2 million security policies and throughput capabilities of 100Gb/s, Agilio’s SmartNICs perform efficiently while consuming minimal CPU power.<br> <br> The DPU Networking Solution is versatile, offering seamless integration with existing cloud management systems, such as OpenStack, without needing hardware updates. The solution’s commitment to innovation allows it to adapt to evolving open-source networking standards, making it an ideal choice for future-proofing network infrastructure.
The ATEK552 is a high-performance, Wideband GaN Power Amplifier designed to deliver substantial power in high-frequency applications ranging from 3 to 17 GHz. Suitable for demanding RF systems, this amplifier provides a power output of 6 Watts, elevating its potential to manage substantial RF signals effectively. With a gain of 21 dB, it ensures significant amplification of input signals while maintaining quality and minimal distortion. Thanks to its robust design, the ATEK552 is an ideal choice for satellite communications, defense applications, and broadband RF systems that require reliable power amplification. It is fabricated as a die, which allows integration into miniaturized RF systems without compromising performance. Engineers can rely on the ATEK552 for its consistent delivery of high-quality amplification across the specified frequency range, making it indispensable for systems demanding high output power and efficiency. Its integration capability with existing RF architectures further enhances its utility in next-generation communication platforms.
Himax specializes in display drivers that are crucial for large-sized LCDs used in environments ranging from business presentations to consumer electronics. These drivers integrate essential components such as timing controllers and operational buffers, enhancing image clarity and response times across devices like large monitors and high-definition TVs. With a focus on bringing innovation to display technology, Himax continues to deliver tailored solutions that address the intricate needs of modern large-format displays.
EMPIRE XPU is recognized for its robust capabilities as a 3D simulator for electromagnetic fields applied in antenna design, microwave circuits, and EM chip design. This simulation tool is esteemed for implementing the Finite Difference Time Domain (FDTD) method, recognized as a benchmark in the RF and microwave component design sectors. The simulator achieves rapid problem-solving, unparalleled by previous generation tools, allowing users to obtain results in minutes that previously required days. The software’s strength lies in its efficiency, achieving remarkable speeds through innovative algorithms that utilize the CPU’s cache memory for simultaneous calculations across multiple steps. This capability ensures the full RAM of a PC is efficiently harnessed for electromagnetic simulations, hastening the design process for large-scale and complex structures. EMPIRE XPU offers comprehensive support for 3D CAD formats, easing the import and export of various designs with healing functionalities for 3D structures. Its user-friendly graphical interface simplifies the design process, offering intuitive tools for multi-layer design and visualization of electromagnetic wave phenomena. Its powerful simulation capabilities make it indispensable for sectors that demand precision and efficiency in electromagnetic design.
The IEEE Floating Point Multiplier/Adder IP core facilitates complex mathematical operations by executing multiplication and addition in IEEE floating-point format with high precision. Targeting applications that require intensive computation, particularly in DSP and high-speed calculation environments, this core efficiently processes large datasets. It supports rapid numerical computation without sacrificing accuracy, making it indispensable for scientific and engineering tasks where accurate floating-point calculations are pivotal.
Himax offers a range of display drivers designed specifically for mobile handsets. These drivers efficiently combine key functionalities like the source driver, gate driver, timing controller, and more into a single chip. This integration simplifies the circuitry needed for compact devices like smartphones and tablets, enabling rich display quality while maintaining low power consumption. By offering these comprehensive chips, Himax significantly enhances the visual and functional capabilities of mobile handsets.
RegSpec by Dyumnin is an innovative control configuration and status register generator designed to streamline the design process for complex systems. RegSpec supports a range of input data formats such as SystemRDL, IP-XACT, CSV, Excel, XML, or JSON. It can generate comprehensive output including Verilog RTL, System Verilog UVM, SystemC header files, and detailed documentation in HTML, PDF, RTF, Word, and Frame formats. This flexibility allows designers to address complex synchronization, interrupt, and pulse generation features with ease.\n\nFurthermore, RegSpec is equipped to handle advanced CCSR register design edge cases, making it the only tool of its kind that fully supports such comprehensive features industry-wide. It also simplifies the verification process by generating UVM-compatible code and RALF file formats, while also offering C/C++ header file generation for firmware and advanced system modeling.\n\nRegSpec enhances interoperability with other CSR tools by supporting the standard import/export of SystemRDL and IP-XACT formats, while also accommodating XML, CSV, and Excel custom formats. It also saves its data in a JSON format, facilitating easy integration with custom scripts. Its multifaceted capabilities make it a key asset for designers seeking efficient, comprehensive register specification solutions.
Sentinel Motion for Rail is an IoT-based sensor system designed specifically for monitoring mission-critical railway equipment. Originally developed for helicopter gearboxes, this technology has been adapted to offer comprehensive monitoring of track, wheels, and bearings, highlighting its versatility. The system includes RotoSense smart sensors, the Sentinel Gateway, and Sentinel MotionView software, providing a continuous remote monitoring solution. It effectively replaces traditional wayside detection equipment by offering automated alerts for abnormal conditions. This approach significantly reduces railway operating expenses by preventing failures. Field tests, such as those conducted at the Transportation Technology Center, prove Sentinel Motion's viability and effectiveness in characterizing track infrastructure and detecting faults. This system's real-time data processing capabilities and secure IoT communication enhance safety and operational efficiency in the rail industry.
Catalyst-GPU is a line of NVIDIA-based PXIe/CPCIe GPU modules designed for cost-effective compute acceleration and advanced graphics in signal processing and ML/DL AI applications. The Catalyst-GPU leverages the powerful NVIDIA Quadro T600 and T1000 GPUs, offering compute capabilities previously unavailable on PXIe/CPCIe platforms. With multi-teraflop performance, it enhances the processing of complex algorithms in real-time data analysis directly within test systems. The GPU's integration facilitates exceptional performance improvements for applications like signal classification, geolocation, and sophisticated semiconductor and PCB testing. Catalyst-GPU supports popular programming frameworks, including MATLAB, Python, and C/C++, offering ease-of-use across Windows and Linux platforms. Additionally, the Catalyst-GPU's comprehensive support for arbitrary length FFT and DSP algorithms enhances its suitability for signal detection and classification tasks. It's available with dual-slot configurations, providing flexibility and high adaptability in various chassis environments, ensuring extensive applicability to a wide range of modern testing and measurement challenges.
The Xilinx FPGA Test Patterns offered by Polybus provide an extensive suite of over 400 testing configurations designed to verify and enhance the functionality of Xilinx FPGAs. These patterns test the internal logic and interconnect integrity, helping to identify defects arising from handling or during system upgrades. Catering to the diverse architectures of numerous Xilinx FPGA models, these patterns support rigorous in-system testing and provide a safety net against defective components reaching operational stages. Through these tests, Polybus helps ensure that only the most reliable FPGA configurations are deployed, contributing to the enhancement of system reliability and performance.
SFA 300 is a cutting-edge solution designed for scalable, quad-channel video and data processing, enabling high-performance operations across a broad array of applications. Its architecture supports multiple video inputs and outputs simultaneously, making it ideal for complex environments requiring robust video management, such as broadcasting and large-scale surveillance systems. This solution excels in offering seamless transfer and conversion of video streams across different formats, ensuring optimal compatibility and performance. Enhanced by its scalable framework, it can be adapted to changes in video data size and processing demands, providing flexibility for expanding systems or evolving requirements. Moreover, SFA 300 implements energy-efficient protocols that minimize power consumption while maintaining high operational speed. Coupled with its advanced data security features, this solution ensures that video and associated data are processed reliably and safeguarded from unauthorized access or corruption, underscoring its suitability for critical data operations.
Silhouse offers rapid machine vision solutions tailored for industrial applications. The system employs advanced computer vision technologies, enabling the quick identification, classification, and analysis of objects within manufacturing environments. This capability significantly enhances automation and efficiency, reducing human error and boosting production quality. Silhouse's integration into industrial processes supports real-time decision-making, essential for maintaining operational excellence. The technology's flexibility allows it to be customized for various production scenarios, optimizing the manufacturing workflow effectively.
Himax's CMOS Image Sensors bring high performance imaging capabilities to a wide range of applications by providing small pixel image sensors tailored for device integration. These sensors support various devices, from mobile phones to automotive and surveillance cameras, enabling exceptional image quality with low power consumption. Himax’s unparalleled sensor technology ensures that even with low power usage, the sensors maintain high fidelity imaging, operating efficiently to extend device battery life. They feature autonomous functions alongside an efficient latency response to capture moments seamlessly, making them ideal for always-on and smart imaging applications. These sensors are equipped with programmable readout modes and adjustable integration times, catering to diverse applications. With a ten-bit data output via a MIPI serial link interface, they can easily adapt to varying environmental changes, providing flexibility and superior functionality for developers and manufacturers looking for reliable imaging components across their devices.
The Photonic Arithmetic Computing Engine (PACE) is Lightelligence's groundbreaking integrated photonic computing platform. At its core is a 64x64 optical matrix multiplier, combining an advanced silicon photonic chip with a CMOS microelectronic chip, both meticulously flip-chip packaged into a single unit. With the incorporation of over 12,000 discrete photonic devices, the platform operates at a clock speed of 1GHz. PACE is known for its optical multiply-accumulate (oMAC) capability, where input vectors are converted from digital into optical signals. These optical signals navigate through the matrix, producing output results that are converted back into digital form. This unique process significantly reduces latency and boosts energy efficiency compared to traditional electronic computation methods. The platform's ability to efficiently process complex computational problems, such as the Ising problem, showcases its potential in bioinformatics, route planning, and material research & development. Lightelligence's PACE is also optimized for scalability, offering a robust solution for accelerating various algorithms used in modern computing tasks.