All IPs > Platform Level IP > Multiprocessor / DSP
In the realm of semiconductor IP, the Multiprocessor and Digital Signal Processor (DSP) category plays a crucial role in enhancing the processing performance and efficiency of a vast array of modern electronic devices. Semiconductor IPs in this category are designed to support complex computational tasks, enabling sophisticated functionalities in consumer electronics, automotive systems, telecommunications, and more. With the growing need for high-performance processing in a compact and energy-efficient form, multiprocessor and DSP IPs have become integral to product development across industries.
The multiprocessor IPs are tailored to provide parallel processing capabilities, which significantly boost the computational power required for intensive applications. By employing multiple processing cores, these IPs allow for the concurrent execution of multiple tasks, leading to faster data processing and improved system performance. This is especially vital in applications such as gaming consoles, smartphones, and advanced driver-assistance systems (ADAS) in vehicles, where seamless and rapid processing is essential.
Digital Signal Processors are specialized semiconductor IPs used to perform mathematical operations on signals, allowing for efficient processing of audio, video, and other types of data streams. DSPs are indispensable in applications where real-time data processing is critical, such as noise cancellation in audio devices, image processing in cameras, and signal modulation in communication systems. By providing dedicated hardware structures optimized for these tasks, DSP IPs deliver superior performance and lower power consumption compared to general-purpose processors.
Products in the multiprocessor and DSP semiconductor IP category range from core subsystems and configurable processors to specialized accelerators and integrated solutions that combine processing elements with other essential components. These IPs are designed to help developers create cutting-edge solutions that meet the demands of today’s technology-driven world, offering flexibility and scalability to adapt to different performance and power requirements. As technology evolves, the importance of multiprocessor and DSP IPs will continue to grow, driving innovation and efficiency across various sectors.
The 2nd Generation Akida platform is a substantial advancement in Brainchip's neuromorphic processing technology, expanding its efficiency and applicability across more complex neural network models. This advanced platform introduces support for Temporal Event-Based Neural Nets and Vision Transformers, aiming to enhance AI performance for various spatio-temporal and sensory applications. It's designed to drastically cut model size and required computations while boosting accuracy. Akida 2nd Generation continues to enable Edge AI solutions by integrating features that improve energy efficiency and processing speed while keeping model storage requirements low. This makes it an ideal choice for applications that demand high-performance AI in Edge devices without needing cloud connectivity. Additionally, it incorporates on-chip learning, which eliminates the need to send sensitive data to the cloud, thus enhancing security and privacy. The platform is highly flexible and scalable, accommodating a wide array of sensory data types and applications, from real-time robotics to healthcare monitoring. It's specifically crafted to run independently of the host CPU, enabling efficient processing in compact hardware setups. With this generation, Brainchip sets a new standard for intelligent, power-efficient solutions at the edge.
The NMP-750 is engineered as a performance accelerator tailored for edge computing applications that demand robust processing power and versatility. It is ideally deployed in environments such as automotive, AMR and UAV systems, AR/VR applications, as well as smart infrastructure projects like smart buildings, factories, and cities. Its design principles aim to enhance security and surveillance systems while supporting advanced telecommunications solutions. This comprehensive IP can attain up to 16 TOPS, thereby addressing needs for high throughput and efficiency in data processing tasks. The NMP-750 includes up to 16 MB of local memory, utilizing either RISC-V or Arm Cortex-R or A 32-bit CPUs to manage operational complexity through three 128-bit AXI4 interfaces for host, CPU, and data processes. This infrastructure not only ensures rapid data-handling capabilities but also optimizes system-level operations for various emerging technologies. Ideal for managing multi-camera stream processing and enhancing spectral efficiency, it is equally suited for mobility and autonomous control systems—key to future smart city and factory applications. The NMP-750's support for comprehensive automation and data analytics offers companies the potential to develop cutting-edge technologies, driving industry standards across domains.
The NMP-750 is engineered as a performance accelerator tailored for edge computing applications that demand robust processing power and versatility. It is ideally deployed in environments such as automotive, AMR and UAV systems, AR/VR applications, as well as smart infrastructure projects like smart buildings, factories, and cities. Its design principles aim to enhance security and surveillance systems while supporting advanced telecommunications solutions. This comprehensive IP can attain up to 16 TOPS, thereby addressing needs for high throughput and efficiency in data processing tasks. The NMP-750 includes up to 16 MB of local memory, utilizing either RISC-V or Arm Cortex-R or A 32-bit CPUs to manage operational complexity through three 128-bit AXI4 interfaces for host, CPU, and data processes. This infrastructure not only ensures rapid data-handling capabilities but also optimizes system-level operations for various emerging technologies. Ideal for managing multi-camera stream processing and enhancing spectral efficiency, it is equally suited for mobility and autonomous control systems—key to future smart city and factory applications. The NMP-750's support for comprehensive automation and data analytics offers companies the potential to develop cutting-edge technologies, driving industry standards across domains.
Vehicle Engineering & Design Solutions by KPIT revolve around transforming vehicle development through cutting-edge design and simulation technologies. By employing advanced Computer Aided Design (CAD) and virtual prototyping, KPIT enhances product development and market entry speed. The focus is on aligning vehicle aesthetics with functional performance, ensuring that vehicles not only appeal to modern consumers but also comply with modern sustainability mandates. KPIT’s holistic approach offers comprehensive solutions that simplify the design and validation processes, fostering innovation in both conventional and electric vehicle configurations.
The NMP-350 is a low-power and cost-effective end-point accelerator designed to cater to applications across various industries. This accelerator finds its niche in markets such as automotive, AIoT, and Industry 4.0, where efficiency and scalability are critical. With potential applications in driver authentication, digital mirrors, and personalized user experiences, it is also applicable in predictive maintenance systems, machine automation, and health monitoring. Technically, the NMP-350 boasts an impressive capacity of up to 1 TOPS (Tera Operations Per Second), supported by up to 1 MB of local memory. The system is based on a flexible architecture utilizing either RISC-V or Arm Cortex-M 32-bit CPUs, accommodating three AXI4 interfaces with 128 bits each dedicated to host, CPU, and data processes. This composition assures its capability to handle a multitude of tasks efficiently while maintaining a low power profile. Its integration into smart appliances and wearable technologies showcases its versatility, providing industry players with a robust solution for building smarter and more reliable products. As industries move towards more interconnected and intelligent systems, the NMP-350 provides the necessary technology to drive innovation forward.
The WAVE6 codec series by Chips&Media is a versatile solution offering multi-standard video encoding and decoding capabilities, tailored for high-resolution content delivery. Integrating AV1 encoding, it ensures superior streaming and bandwidth optimization. This solution is especially viable for devices requiring high efficiency and low power consumption, such as data centers and surveillance cameras. With its dual-core architecture, the WAVE6 achieves better processing speeds, supporting up to 8K resolution at 60 frames per second. Engineered with an optimized architecture, WAVE6 includes features like frame buffer compression and color space conversion, which enhance the overall performance while minimizing power use. Its design is straightforward, with a single-clock domain facilitating on-the-fly processes for various codec engines. This codec is not only efficient in terms of power usage but also capable of supporting a range of YUV formats and bit depths, maintaining high image quality with features like rotate/mirror and down-scaling functionalities. The WAVE6's specification supports a broad array of applications, from data centers needing robust processing power to automotive systems where efficiency and reliability are paramount. Its compatibility with multiple industry standards, including HEVC, AVC, and VP9, ensures that it meets diverse customer requirements while optimizing usage of external memory bandwidth through advanced compression technologies.
The NMP-550 stands as a performance efficiency accelerator, particularly crafted for applications that demand high computational power combined with energy efficiency. This IP is especially suited for markets including automotive, mobile devices, AR/VR, and security-focused technologies. Its applicability spares a wide spectrum, fostering innovation in driver monitoring, fleet management, and advanced image or video analytics. Along with intruder detection and compliance systems, it bolsters its utility in medical devices for enhanced diagnostic capabilities. Technologically, the NMP-550 delivers up to 6 TOPS, which provides a significant boost in data processing capability. It features up to 6 MB of local memory, ensuring swift and effective data management. The design is underpinned by a choice of RISC-V or Arm Cortex-M or A 32-bit CPUs, along with three AXI4 interfaces supporting 128 bits each, allocated for host, CPU, and data handling. Such specification allows this accelerator to proficiently tackle tasks of various computational demands with resilience and efficiency. Its design caters to cross-disciplinary needs, making it an excellent fit for drone operations, robotics, and security systems requiring real-time processing and decision-making capabilities. With the inherent ability to process substantially more data at improved efficiencies, this IP aligns well with the future of immersive and interactive application deployments.
The PolarFire FPGA Family by Microsemi is engineered to deliver cost-effectiveness alongside exceptional power efficiency, positioning itself as the optimal choice for mid-range FPGA applications. Crafted to offer transceivers ranging from 250 Mbps to a robust 12.7 Gbps, these FPGAs cater to diverse bandwidth requirements. With logic elements spanning 100K to 500K and incorporating up to 33 Mbits of RAM, the PolarFire series seamlessly addresses demanding processing needs while ensuring secure and reliable performance. At the heart of its design philosophy is a focus on best-in-class security features combined with high reliability, making it particularly relevant for industries like automotive, industrial, and communication infrastructures where failure is not an option. It supports applications that require low power consumption without sacrificing performance, which is increasingly important in today's energy-conscious environments. These FPGAs find their versatility in a range of applications, from driving advancements in ADAS in the automotive industry to supporting broadband and 5G mobile infrastructures in telecommunications. The family also extends its use cases to data center technologies, highlighting its adaptability and efficiency in both digital and analog processing fields. With such a broad spectrum of applicability, the PolarFire FPGA Family stands as a shining example in Microsemi's product arsenal, delivering solutions tuned for innovation and performance.
Cortus's High Performance RISC-V Processor represents the pinnacle of processing capability, designed for demanding applications that require high-speed computing and efficient task handling. It features the world’s fastest RISC-V 64-bit instruction set architecture, implemented in an Out-of-Order (OoO) execution core, supporting both single-core and multi-core configurations for unparalleled processing throughput. This processor is particularly suited for high-end computing tasks in environments ranging from desktop computing to artificial intelligence workloads. With integrated features such as a multi-socket cache coherent system and an on-chip vector plus AI accelerator, it delivers exceptional computation power, essential for tasks such as bioinformatics and complex machine learning models. Moreover, the processor includes coherent off-chip accelerators, such as CNN accelerators, enhancing its utility in AI-driven applications. The design flexibility extends its application to consumer electronics like laptops and supercomputers, positioning the High Performance RISC-V Processor as an integral part of next-gen technology solutions across multiple domains.
The Automotive AI Inference SoC by Cortus is a cutting-edge chip designed to revolutionize image processing and artificial intelligence applications in advanced driver-assistance systems (ADAS). Leveraging RISC-V expertise, this SoC is engineered for low power and high performance, particularly suited to the rigorous demands of autonomous driving and smart city infrastructures. Built to support Level 2 to Level 4 autonomous driving standards, this AI Inference SoC features powerful processing capabilities, enabling complex image processing algorithms akin to those used in advanced visual recognition tasks. Designed for mid to high-end automotive markets, it offers adaptability and precision, key to enhancing the safety and efficiency of driver support systems. The chip's architecture allows it to handle a tremendous amount of data throughput, crucial for real-time decision-making required in dynamic automotive environments. With its advanced processing efficiency and low power consumption, the Automotive AI Inference SoC stands as a pivotal component in the evolution of intelligent transportation systems.
The Neural Processing Unit (NPU) from OPENEDGES offers a state-of-the-art deep learning accelerator, optimized for edge computing with advanced mixed-precision computation. Featuring a powerful network compiler for efficient memory usage, it handles complex neural network operations while minimizing DRAM traffic. Its layered architecture supports modern algorithmic needs, including transformers, allowing for parallel processing of neural layers. The NPU provides significant improvements in compute density and energy efficiency, targeting applications from automotive to surveillance, where high-speed, low-power processing is critical.
The ULYSS MCU range from Cortus is a powerful suite of automotive microcontrollers designed to address the complex demands of modern automotive applications. These MCUs are anchored by a highly optimized 32/64-bit RISC-V architecture, delivering impressive performance levels from 120MHz to 1.5GHz, making them suitable for a variety of automotive functions such as body control, safety systems, and infotainment. ULYSS MCUs are engineered to accommodate extensive application domains, providing reliability and efficiency within harsh automotive environments. They feature advanced processing capabilities and are designed to integrate seamlessly into various automotive systems, offering developers a versatile platform for building next-generation automotive solutions. The ULYSS MCU family stands out for its scalability and adaptability, enabling manufacturers to design robust automotive electronics tailored to specific needs while ensuring cost-effectiveness. With their support for a wide range of automotive networking and control applications, ULYSS MCUs are pivotal in the development of reliable, state-of-the-art automotive systems.
Trimension SR200 is a single IC UWB chip designed for mobile applications, integrating both ranging and radar capabilities to facilitate enhanced device interactions. This chip is essential for mobile devices requiring high precision in location tracking and interaction detection. Benefiting from its compact integration, it supports seamless wireless communications, catering to the advancement of mobile technology through superior UWB features.
Chips&Media's WAVE5 is a proven multi-standard video codec IP renowned for its versatility in handling a broad spectrum of video formats. Designed for high-performance applications, it ensures efficient processing by utilizing dual-core technology, suitable for environments like data centers and surveillance setups. The WAVE5's capability to encode and decode at high resolutions and frame rates makes it a reliable choice for video-intensive operations. Incorporating sophisticated features such as frame buffer compression and multi-instance support, WAVE5 provides enhanced video quality while ensuring minimal latency. With support for industry standards like HEVC and AVC, it meets diverse demands within the multimedia domain, efficiently processing video streams at up to 8K60fps. The codec is optimized for power usage, allowing it to deliver excellent performance without excessive resource consumption. WAVE5's interface architecture supports robust data transfer and system control through AMBA3 APB and AXI protocols, ensuring seamless communication and operational efficiency. This is complemented by comprehensive support for bit-depth and YUV format conversions, enhancing compatibility with various media types and application needs. Its wide applicability in fields such as automotive, drones, and home entertainment underscores its adaptability and powerful processing capabilities.
Trimension SR100 is focused on the mobile segment, enhancing devices through pre-installed FiRa stacks that provide dependable UWB functionality. Its design supports fundamental UWB tasks like ranging, making it an ideal choice for mobile platforms requiring robust and accurate positioning solutions. Integration into mobile devices allows for seamless communications with other UWB-enabled technologies, making it a staple in the evolution of interconnected consumer electronics.
The Cobra platform is designed specifically for the Xilinx Kintex-7, delivering robust performance for development and prototyping within digital systems. This platform facilitates the rapid integration and testing of Trilinear's extended IP offerings, particularly for advanced DisplayPort applications. It provides essential tools for developers looking to streamline their design process and reduce project timelines.
The H.264 FPGA Encoder and CODEC Micro Footprint Cores offer top-tier video compression capabilities, optimized for FPGA implementations. These cores are ITAR-compliant and customizable, supporting 1080p60 H.264 Baseline profiles with a single core. Notable for their compact size and high speed, these cores suit various configurations including H.264 Encoder, H.264 CODEC, and H.264 I-Frame Only Encoder variants. Their flexibility allows customization for specific pixel depths and resolutions, catering to unique project demands. An evaluation license is available for this high-performance core, designed to integrate seamlessly into FPGA environments, delivering minimal latency and high throughput that meets industry standards.
The E6-A series in SiFive's automotive portfolio delivers an unrivaled combination of safety, security, and performance, built to satisfy complex and evolving vehicle requirements. With balanced power efficiency and area optimization, the E6-A processors are tailored for applications ranging from body and powertrain systems to central compute solutions in modern vehicles. Compliant with ISO 26262 ASIL and cybersecurity standards, E6-A processors ensure integration ease and functionality in diverse automotive settings, supporting the comprehensive utilization of SiFive’s RISC-V automotive innovations.
The SiFive Performance family of processors is crafted to address the demands of data center workloads, multimedia processing, networking, and storage applications. Featuring 64-bit, out-of-order cores, they provide a wide range of design options tailored to workload necessities. This family includes processors ranging from three to six-wide out-of-order cores, equipped with dedicated vector engines optimized for AI workloads. These processors deliver top-tier performance within energy-efficient parameters, making them highly suitable for mobile devices, consumer electronics, and edge computing infrastructure.
Trimension SR040 is designed specifically for UWB tagging in both industrial and IoT sectors. It supports FiRa stacks, offering reliable and secure communication across devices. Ideal for tracking systems, the SR040 is engineered to ensure precision in location-based applications and utilizes the secure FiRa protocol to maintain consistent performance.
Trimension SR250 is an innovative ultra-wideband solution designed for applications in industrial and IoT settings. It offers precise ranging capabilities and is an integral component in creating ultra-wideband-enabled devices and anchors. With the integration of both UWB ranging and radar technologies in a single chipset, the SR250 serves as a versatile tool in environments where precise location tracking and secure communications are necessary.
The Vega eFPGA from Rapid Silicon represents an innovative leap in providing customizable FPGA capabilities to System-on-Chip (SoC) designs. This eFPGA is designed to deliver flexibility and efficiency, allowing a seamless integration that enhances performance without raising costs. By embedding programmability directly into SoCs, Vega eFPGA facilitates diverse and adaptable computing needs. Structured with three configurable tile types – CLB, BRAM, and DSP – the Vega eFPGA is engineered for optimal performance. The CLB comprises eight 6-input lookup tables (LUTs), each offering dual independent outputs. It includes features like fast adders with carry chains and programmable registers, ensuring computational versatility. The BRAM component supports 36Kb dual-port memory, adaptable as 18Kb split memory configurations. The DSP tile incorporates an 18×20 multiplier with a 64-bit accumulator, supporting complex mathematical processing. Rapid Silicon's Vega eFPGA is optimized for scalability, providing flexibility in tile configurations to meet varied application requirements. It ensures ample compatibility with existing systems through seamless SoC integration, proprietary Raptor EDA tools, and robust IP libraries. These capabilities enable Vega to offer bespoke solutions tailored to specific end-user needs.
Catering specifically to the automotive industry, SiFive Automotive solutions provide advanced applications and real-time processing architecture suited for the latest vehicle requirements. These processors deliver optimized power consumption and area efficiency, with a focus on functional safety, security, and performance. The automotive product line complies with ISO 26262 ASIL standards and ISO/SAE 21434:2021 cybersecurity requirements, which assists automotive OEMs in meeting global regulatory standards. SiFive's RISC-V safety processors meet the needs of diverse automotive segments, including ADAS, IVI, and powertrain systems.
Trimension OL23D0 is tailored for UWB tag applications within industrial environments. The product is customizable with user-specific protocol stacks, enabling detailed and secure operations tailored to the specific needs of the deployment. The OL23D0 is exceptionally suited for environments that require scalable and reliable communication solutions, enhancing tracking capabilities and operational efficiency.
The Akeana 1000 Series offers 64-bit RISC-V processors tailored for high-performance computing and data processing. These processors are versatile, supporting various applications from smart homes to automotive sensing. With a focus on performance, the series includes multi-threading support and options for in-order or out-of-order execution, providing solutions to different computational needs. Configurable with instruction issue widths ranging from single to quad-issue, the Akeana 1000 Series addresses a wide spectrum of applications. This mid-range offering features memory management units with substantial TLB capacity, supporting address translation for efficient process management. Enhanced by ECC support, these processors ensure data integrity across tasks. With customization options including vector extensions and shared cache configurations, the Akeana 1000 Series stands as an adaptable solution for high-end microcontroller and gateway applications. It balances power and performance, extending its utility to industrial automation and edge AI applications.
TUNGA is an innovative multi-core RISC-V SoC designed to advance high-performance computing and AI workflows using posit arithmetic. This SoC is equipped with multiple CRISP-cores, enabling efficient real-number computation with the integration of posit numerical representations. The TUNGA system exploits the power of the posit data type, known for offering enhanced computational precision and reduced bit-utilization compared to traditional formats. A standout feature of TUNGA is its fixed-point accumulator structure, QUIRE, which ensures exact calculation of dot products for vector lengths extending to approximately 2 billion elements. This precision makes it highly suitable for tasks in cryptography, AI, and data-intensive computations that require high accuracy. In addition, TUNGA leverages a pool of FPGA gates designed for hardware reconfiguration, facilitating the acceleration of processes such as data center services by optimizing task execution paths and supporting non-standard data types. TUNGA is fully programmable and supports various arithmetic operations for specialized computational needs, particularly within high-demand sectors like AI and machine learning, where processing speed and accuracy are critical. By integrating programmability through FPGA gates, users can tailor the SoC for specific workloads, thereby allowing Calligo's TUNGA to stand out as an adaptable element of next-generation cloud and edge computing solutions.
The hypr_risc Radar DSP Accelerator from NOVELIC is a highly configurable digital signal processor connected to a custom RISC-V-based core. Engineered for speed, it is optimized for high-speed advanced driver-assistance systems (ADAS) applications where fast processing is critical. It handles an array of signal processing tasks, from basic object range assessment to complex imaging, and can be tailored to match any frontend.
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 SAKURA-II AI Accelerator by EdgeCortix is a high-efficiency device designed for demanding edge applications. This cutting-edge accelerator is tailored for fast, real-time, single-batch AI inferencing with low energy consumption and minimal footprint. The hardware enables users to process complex generative AI models such as Llama 2 and Stable Diffusion. By supporting multi-billion parameter models, it excels in areas like Vision, Language, and Audio AI applications. Its edge efficiency is further augmented by its high utilization of AI compute, surpassing many competing solutions. This ensures superior functionality across vast applications.
Designed to meet the future needs of AI technology, the SiFive Intelligence family introduces AI dataflow processors with scalable vector compute capabilities. The X280 model emphasizes high-performance scalar and vector computing suitable for AI workloads, data flow management, and complex processing tasks. By integrating SiFive Matrix Engine technology, the X280 enhances compute capabilities with a 512-bit vector length ensuring efficient computation flows. The platform is scalable, supporting integrations from entry-level to high-performance needs, whilst maintaining a focus on power efficiency and footprint reduction.
Trimension SR150 is crafted for the industrial and IoT sectors, providing a UWB solution enhanced with FiRa protocol technologies. This product is pre-installed with various stacks, making it ideal for supporting UWB devices and anchors. Key applications include secure indoor positioning and device-to-device communication, benefiting from its high accuracy and reliability in dense environments.
The ZIA DV700 Series is engineered for high-precision AI inference operations across diverse applications, including autonomous navigation and robotic systems. It supports a wide variety of deep neural network models such as MobileNet and Yolo v3, facilitating robust object detection and semantic segmentation. The DV700 Series uniquely combines advanced mathematics with significant floating-point accuracy, allowing it to perform highly reliable computations that can replicate AI models trained on servers without re-learning. Its architecture is optimized for inference, maintaining high accuracy levels crucial for mission-critical AI systems, making it ideal for industries demanding stringent reliability.
The 32-bit RISC CPU Core from VinChip Systems is engineered to provide a high-performance, cost-effective central processing block for various applications. It incorporates a streamlined instruction set architecture, enabling efficient processing power while minimizing silicon footprint, power consumption, and heat generation. This makes it suitable for embedded systems requiring agility and efficiency. Offering robust computational capabilities, this RISC CPU Core excels in both general-purpose and application-specific systems. Its architectural design supports rapid task execution and concurrent processes, which is critical for handling complex computations and multitasking environments. Additionally, its scalable architecture allows developers to tailor the solution to specific needs, optimizing system performance and energy efficiency. The 32-bit RISC CPU Core is easy to integrate into systems, providing seamless interoperability with other components. Extensive support for development tools and software stacks simplifies the design process, making it ideal for consumer electronics, automotive applications, and industrial controls where precision and reliability are paramount.
The P8700 Series stands at the forefront of processing technology, emphasizing RISC-V architecture to target rapidly growing fields like automotive and autonomous vehicle applications. Implementing a 4-wide out-of-order execution with dual simultaneous multi-threading, the P8700 delivers superior performance due to its ability to run up to eight cores per cluster. This significantly enhances automotive system capabilities, addressing the ASIL-B safety standard with an emphasis on reliability and precise data control. Designed to integrate seamlessly with heterogeneous system components, the P8700 Series features an architecture conducive to real-time processing efficiency and system responsiveness. This is critical for maintaining operational integrity in safety-intensive environments such as advanced driver-assistance systems (ADAS) and autonomous functionality. It uniquely provides developers with the flexibility to configure its interconnect and cache coherence, facilitating a more tailored system design approach. These processors are built to reduce complexity and enhance computing density, ensuring robust performance across multiple workloads. Their architecture supports seamless communication with co-processors and specialized accelerators, optimally handling AI stack software, which can significantly boost AI workload efficiency by up to 30%. Designed for automotive-grade reliability, these processors also adapt to the specific demands of cloud data centers, enabling high performance while respecting the energy and capacity limitations inherent in these environments.
Boasting a robust 64-bit architecture, the UX Class processor is adept at handling sophisticated applications such as data center operations and networking solutions. This processor includes an MMU, providing advanced memory management capabilities which are crucial for high-end computing environments. The UX Class supports a wide array of RISC-V extensions, offering developers the capability to configure the processor with specific features that enhance performance and security features. This allows it to be highly adaptable to a variety of demanding applications. Additionally, this processor is designed with scalability and robustness in mind, paving the way for improved computing solutions in both enterprise and consumer sectors. Its extensive ecosystem includes toolchains, development kits, and robust security protocols, promoting innovation and rapid deployment across versatile uses.
Trimension NCJ29D6 is a UWB technology solution particularly used in the automotive field, serving applications such as secure car access and presence detection. It is compliant with CCC and FiRa standards, ensuring compatibility with industry protocols. The NCJ29D6 supports a wide range of automotive systems, facilitating advanced functionalities like gesture detection and seamless entry experiences.
The AON1100 is a groundbreaking edge AI chip that stands out in the realm of power efficiency and performance. Designed for voice activation and sensor fusion, it fuses AONVoice and AONSens technologies in one compact marvel. This chip significantly enhances the capabilities of smart devices, catering to applications in both the automotive and industrial IoT sectors. With a focus on energy efficiency, the AON1100 boasts a super low-power consumption model, ensuring devices remain active yet highly efficient. This chip integrates multiple processing units, including Neuromorphic Processing Units (NPU), RISC-V, and Hardware DSP, to achieve superior computational prowess. Its advanced sensor fusion and voice detection capabilities present a shift in automotive applications, promoting enhanced safety and operational efficiency. By offering unrivaled accuracy even in noisy environments, the AON1100 raises the bar for edge AI solutions across various markets.
RISC-V Core-hub Generators are central to InCore's strategy to streamline SoC design by allowing developers full control over customizing core-hubs at both the ISA and microarchitecture levels. This system grants engineers unprecedented flexibility, enabling them to tailor design specifications to unique needs, ensuring performance optimization and integration ease within complex systems. These generators are a key component in developing next-generation processors that demand high efficiency and rapid deployment. By revolutionizing the traditional approach to processor customization, these Core-hub Generators significantly cut down development time and costs. They facilitate a seamless design experience, where conversion from ideas to silicon is made fluid through their YAML hardware description approach, known for its agility and precision. This innovative method showcases InCore's dedication to transforming semiconductor design into a more accessible and faster process, which is vital in today's fast-moving tech landscape. These RISC-V Generators are not just tools but a comprehensive solution that address the challenges of modern processor design. By allowing detailed configuration, they support robust security measures and efficient resource management, thus minimizing overheads. This adaptability makes them suitable for diverse applications, reinforcing InCore's mission to democratize access to high-level, customizable silicon solutions.
The Tyr AI Processor Family is a robust line of chips designed to optimize performance and efficiency for a wide range of AI applications, including autonomous driving and edge AI deployments. Each processor in the Tyr lineup is fully programmable and engineered to operate seamlessly with any host processor or algorithm. These processors offer substantial computational power, fostered by cutting-edge architecture that supports high-level language programming. This approach ensures ease of integration and fast deployment of new algorithms.<br><br>The processors are tailored for next-generation AI tasks and are capable of effectively managing the complexities of both AI and digital signal processing (DSP) workflows. They capitalize on multi-core design for scalability, ensuring that performance metrics remain robust even as computational demands increase. Additionally, Tyr processors maintain a low footprint both in terms of physical space and power consumption, making them ideal for cost-sensitive and power-sensitive applications.<br><br>The family offers a range of options such as the Tyr1, Tyr2, and Tyr4, each differentiated by their compute power and core configurations. This diversity ensures that users can select an option best suited for their specific operational requirements, whether seeking maximal power or minimal resource consumption. Furthermore, the processors are ISO26262/ASIL-D ready, enhancing their applicability in automotive and safety-critical environments.
UltraRISC Technology's UR-E Processor Core is engineered for high-efficiency computation, especially suited for edge computing scenarios. It harnesses RISC-V architecture's advantages, ensuring a high degree of efficiency for power-sensitive applications. This core focuses on delivering optimum performance across different application domains, accommodating specific computational requirements with its customizable configuration. Offering compatibility with the RISC-V instruction set, the UR-E core can be tailored to specific needs, thus optimizing the processing capability for edge devices. It's designed to support essential processor core resources and SoC-level IP, thereby enabling robust systems that require efficient processing power. The UR-E core exemplifies UltraRISC's dedication to delivering versatile, high-performance computing solutions.
Yitian 710 Processor marks a significant milestone as T-Head's flagship offering. Designed internally by T-Head, this processor features a cutting-edge architecture, integrating high-performance capabilities with broad bandwidth support. It is compatible with the Armv9 architecture, showcasing T-Head's commitment to forward-thinking technology solutions. This processor utilizes a 2.5D packaging framework, which includes two dies summing up to over 600 billion transistors, significantly enhancing computational throughput. It comprises 128 high-efficiency Armv9 CPU cores, each equipped with substantial caches, facilitating rapid data processing and storage. Specifically, each CPU core is accompanied by 64KB of instruction cache, 64KB of data cache, and a larger 1MB secondary cache, while the chip itself features 128MB of system-level cache. Memory support for the Yitian 710 is robust, featuring 8-channel DDR5 support with peak bandwidth reaching 281GB/s. Its I/O system incorporates 96 PCIe 5.0 channels, with a bidirectional theoretical bandwidth of up to 768GB/s, catering to high-throughput applications in cloud computing and data-intensive environments.
GIRD Systems develops highly configurable IP cores, designed to be hardware-agnostic, which are instrumental in digital signal processing (DSP), communications, and electronic warfare (EW) applications. These cores are defined through inferred VHDL implementations and can be efficiently adapted onto several platforms including Xilinx, Altera, and Microsemi FPGAs, besides being applicable for ASICs and various synthesis targets. The company's approach eliminates the need for re-coding across different target platforms, drastically reducing the time-to-market and fostering multi-target design adaptability. With performance and portability at its heart, these IP cores facilitate the deployment of sophisticated algorithms across disparate hardware, while maintaining consistency and performance standards. By enabling manufacturers to target a broad array of applications without having to rewrite underlying code, GIRD Systems' IP cores streamline the development process and enhance design flexibility. These offerings are backed by comprehensive support and documentation to ensure seamless integration into existing workflows, effectively advancing signal processing capabilities within diverse operational frameworks.
Forest Runtime is a robust execution platform for neural network models, providing a retargetable and modular architecture suited for various hardware environments, from data centers to mobile and TinyML applications. It facilitates the seamless execution of compiled models using common C++ APIs along with C and Python bindings, making it versatile for a broad range of AI applications. The runtime supports 'hot batching' technology, allowing models to alter batch sizes and input shapes at runtime, which is essential for modern neural networks like BERT and DLRM. This feature maximizes hardware utilization and minimizes response time by dynamically connecting various system resources efficiently. It also incorporates unique 'bridging' technology that allows resource-sharing among multiple accelerator cards and sessions, thereby supporting scalability and high throughput in server environments.
The JPEG FPGA Cores are designed to facilitate high-resolution image processing with full grayscale support, specifically optimized for FPGA architectures. These cores are ITAR-compliant and allow customization to fit diverse application needs. They include both JPEG Encoder and Decoder functionalities, providing robust solutions for various image compression demands. By offering a range of adaptations in terms of resolution and processing capacity, these cores are well-suited for high-performance image handling requirements. They serve as a versatile component in systems where reliable and efficient image compression is essential for both consumer and professional-grade applications.
Trimension NCJ29D5 mainly operates within automotive scenarios, focusing on securing access to vehicles through UWB-based solutions. The product aligns with CCC and FiRa protocols, ensuring a standardized and secure medium for communication and functionality. This makes the NCJ29D5 a reliable option for manufacturers looking to enhance their vehicle access systems with precise UWB capabilities.
The Altera Agilex 7 F-Series SoC is a versatile module that blends the strengths of Intel's Agilex FPGAs with an integrated system-on-chip (SoC). Built on Intel's 10nm SuperFin process technology, this FPGA is optimized for a variety of applications across multiple sectors, including bioscience, quantum computing, and electronic warfare. It features advanced high-performance capabilities, enabling system designers to implement complex functions with efficiency. The system-on-module (SoM) configuration is equipped with heat management components like active heatsinks and fans, making it ideal for embedded applications. The integration of various processing elements within a single silicon platform enhances the module's efficiency, offering reduced power consumption and improved performance. By providing pre-validated and tested modules, the Agilex 7 F-Series SoC facilitates ease of use and accelerates time-to-market for developers. This module is complemented by compatible carrier boards, which expand its utility in diverse applications while allowing seamless integration for complex embedded designs.
The Altera Stratix 10 SoC is a powerful module utilizing Intel's Stratix FPGA technology to achieve remarkable levels of data processing and bandwidth handling. Its design incorporates high-speed transceivers and extensive logic capabilities, suited for applications in data centers and communications. The embedded system-on-chip (SoC) form factor ensures efficient data management and processing within compact spaces. Supporting advanced connectivity options, including PCI Express and Ethernet, this module paves the way for rapid data transfer and enhanced computational tasks. With its focus on applications that demand high reliability and performance, the Stratix 10 SoC is a perfect fit for industries requiring robust embedded solutions.
The I8500 Series from MIPS exemplifies a strategic advancement in processing capabilities, leveraging the RISC-V architecture to address modern computational challenges. It features a triple-issue, in-order execution pathway and up to 4-way simultaneous multi-threading, making it ideally suited for both embedded and high-demand automotive systems that require enhanced computational responsiveness. Built with scalability in mind, the I8500 Series supports up to eight cores per cluster, promoting improved computational throughput for complex, parallelized tasks. This capability allows it to efficiently handle advanced automotive applications requiring strict compliance with ASIL-B standards, ensuring safety and reliability. Its design incorporates coherent last-level cache architecture supporting data coherence across diverse processor environments, essential for high fidelity system operations. Designed with a focus on customization, the I8500 provides a platform for RISC-V compliant core and peripheral development, making it adaptable to various market needs, from automotive control systems to next-generation data centers. Incorporating MIPS' unique innovation of flexibility, the I8500 allows for seamless integration with custom accelerators, providing an opened path to future technological adaptability and robustness in multi-core processor environments.
The NoISA processor is a revolutionary design aimed at mitigating the limitations of traditional instruction set architectures. Typical processors use a fixed ALU, register file, and hardware controller, dividing operations into multiple instructions. In contrast, the NoISA processor capitalizes on the Hotstate machine's capabilities, employing a runtime-loadable, microcoded algorithmic state machine that mimics the hardware controller's functions across diverse architectures. Particularly useful when traditional softcore CPUs are inefficient, the NoISA processor is energy-efficient and highly adaptable, ideal for IoT applications where power conservation is paramount. The NoISA processor shines in environments where quick and compact controller deployments are required. It excels in configuring systolic arrays and altering FPGA functionalities without modifying the physical setup. Its flexibility allows for powerful microcode reloading, offering a versatile alternative to conventional ISAs. As a result, users benefit from maximized performance potential, addressing the constraints imposed by fixed instruction sets. Overall, the NoISA processor empowers systems with enhanced speed and flexibility, making it an optimal choice for various applications demanding dynamic scalability and reduced energy consumption.
The AMD Zynq Ultrascale+ MPSoC module offers a merger of multifaceted processing power with field-programmable capabilities, specially targeted towards intricate and defense-critical applications. It brings together the best of ARM computing and FPGA scalability, making it ideal for markets such as radio communication and electronic surveillance. The module's architecture maximizes efficiency and adaptability, highlighting its strengths in handling complex algorithms and tasks in real-time. It is particularly valued for its versatile application in precision-demanding sectors, providing unmatched control and implementation versatility.