The CPU, or Central Processing Unit, is the central component of computer systems, acting as the brain that executes instructions and processes data. Our category of CPU semiconductor IPs offers a diverse selection of intellectual properties that enable the development of highly efficient and powerful processors for a wide array of applications, from consumer electronics to industrial systems. Semiconductor IPs in this category are designed to meet the needs of modern computing, offering adaptable and scalable solutions for different technology nodes and design requirements.
These CPU semiconductor IPs provide the core functionalities required for the development of processors capable of handling complex computations and multitasking operations. Whether you're developing systems for mobile devices, personal computers, or embedded systems, our IPs offer optimized solutions that cater to the varying demands of power consumption, processing speed, and operational efficiency. This ensures that you can deliver cutting-edge products that meet the market's evolving demands.
Within the CPU semiconductor IP category, you'll find a range of products including RISC (Reduced Instruction Set Computer) processors, multi-core processors, and customizable processor cores among others. Each product is designed to integrate seamlessly with other system components, offering enhanced compatibility and flexibility in system design. These IP solutions are developed with the latest architectural advancements and technological improvements to support next-generation computing needs.
Selecting the right CPU semiconductor IP is crucial for achieving target performance and efficiency in your applications. Our offerings are meticulously curated to provide comprehensive solutions that are robust, reliable, and capable of supporting diverse computing applications. Explore our CPU semiconductor IP portfolio to find the perfect components that will empower your innovative designs and propel your products into the forefront of technology.
KPIT's engineering and design solutions focus on accelerating vehicle development through new-age design and simulation techniques. This approach enables cost-efficient transformation and adherence to sustainability standards, offering integrated electrification solutions and cutting-edge design methodologies. KPIT's solutions in vehicle engineering support electric and hybrid vehicle innovation with advanced CAD tools, virtual prototyping, and AI augmentation.
Origin E1 neural engines are expertly adjusted for networks that are typically employed in always-on applications. These include devices such as home appliances, smartphones, and edge nodes requiring around 1 TOPS performance. This focused optimization makes the E1 LittleNPU processors particularly suitable for cost- and area-sensitive applications, making efficient use of energy and reducing processing latency to negligible levels. The design also incorporates a power-efficient architecture that maintains low power consumption while handling always-sensing data operations. This enables continuous sampling and analysis of visual information without compromising on efficiency or user privacy. Additionally, the architecture is rooted in Expedera's packet-based design which allows for parallel execution across layers, optimizing performance and resource utilization. Market-leading efficiency with up to 18 TOPS/W further underlines Origin E1's capacity to deliver outstanding AI performance with minimal resources. The processor supports standard and proprietary neural network operations, ensuring versatility in its applications. Importantly, it accommodates a comprehensive software stack that includes an array of tools such as compilers and quantizers to facilitate deployment in diverse use cases without requiring extensive re-designs. Its application has already seen it deployed in over 10 million devices worldwide, in various consumer technology formats.
Designed for high-performance environments such as data centers and automotive systems, the Origin E8 NPU cores push the limits of AI inference, achieving up to 128 TOPS on a single core. Its architecture supports concurrent running of multiple neural networks without context switching lag, making it a top choice for performance-intensive tasks like computer vision and large-scale model deployments. The E8's flexibility in deployment ensures that AI applications can be optimized post-silicon, bringing performance efficiencies previously unattainable in its category. The E8's architecture and sustained performance, alongside its ability to operate within strict power envelopes (18 TOPS/W), make it suitable for passive cooling environments, which is crucial for cutting-edge AI applications. It stands out by offering PetaOps performance scaling through its customizable design that avoids penalties typically faced by tiled architectures. The E8 maintains exemplary determinism and resource utilization, essential for running advanced neural models like LLMs and intricate ADAS tasks. Furthermore, this core integrates easily with existing development frameworks and supports a full TVM-based software stack, allowing for seamless deployment of trained models. The expansive support for both current and emerging AI workloads makes the Origin E8 a robust solution for the most demanding computational challenges in AI.
The D25F processor is specifically built for high-frequency operations, offering low gate count as well as extreme power efficiency. Known for its robust design, it suits applications where performance and energy consumption are critical considerations, fitting industries that demand reliability and proficiency in their operations.
The NaviSoC by ChipCraft is a sophisticated GNSS receiver system integrated with an application processor on a single piece of silicon. Known for its compact design, the NaviSoC provides exceptional performance in terms of precision, reliability, and security, complemented with low power consumption. This well-rounded GNSS solution is customizable to meet diverse application needs, making it suitable for IoT, Lane-level Navigation, UAV, and more. Designed to handle a wide range of GNSS applications, the NaviSoC is well-suited for scenarios that demand high accuracy and efficiency. Its architecture supports applications such as asset tracking, smart agriculture, and time synchronization while maintaining stringent security protocols. The flexibility in its design allows for adaptation and scalability depending on specific user requirements. The NaviSoC continuously aims to advance GNSS technology by delivering a holistic integration of processing capabilities. It stands as a testament to ChipCraft's innovative strides in creating dynamic, high-performance semiconductor solutions that excel in global positioning and navigation. The module's efficiency and adaptability offer a robust foundation for future GNSS system developments.
The iniCPU is a compact but highly flexible processing core developed by Inicore for a broad range of applications. Based on established RISC architectures, it ensures efficient instruction execution and multitasking in embedded systems. With its capability to integrate seamlessly with other system components, iniCPU is highly adaptable for both FPGA and ASIC technologies. Its lightweight design optimizes resource use without compromising performance quality, which is crucial for applications in consumer electronics, industrial control, and robotics. IniCPU's emphasis on low power consumption makes it particularly advantageous for battery-dependent devices and applications aiming for energy efficiency. The core’s comprehensive support for standard interfaces and peripheral modules further enhances its integration ease, allowing developers to leverage its full capacities when designing complex systems.
Spec-TRACER is an integrated requirements lifecycle management application, purpose-built for FPGA and ASIC design environments. It supports the comprehensive management of design specifications and facilitates traceability across the development process, from initial specification capture through verification. This tool is invaluable in projects requiring stringent accountability and regulatory compliance, as seen in aerospace and automotive sectors. It enhances project consistency by ensuring that all design requirements are traceable, verifiable, and adhered to throughout the development phase. With features that allow for detailed analysis, reporting, and change management, Spec-TRACER simplifies the complexity of managing design requirements. Teams can achieve enhanced coordination and transparency, verifying that all specifications are met and documented appropriately, thus utilizing thorough and documented processes for effective project management.
The eSi-3200 is a robust 32-bit processor focused on achieving low-cost and low-power performance ideal for embedded control systems. Its architecture, designed without cache, ensures deterministic performance suited for real-time applications. Leveraging a modified-Harvard memory architecture, it supports simultaneous instruction and data fetching. Within its 5-stage pipeline, it achieves high GHz clock frequencies and delivers a wide array of arithmetic computations. It boasts a set of 104 basic instructions and supports IEEE-754 compliant floating-point operations alongside a diverse set of optional application-specific instructions tailored to optimize performance. Its capacity to perform complex operations makes it adaptable to various computational needs without excessive power use.
The Origin E2 family of NPU cores is tailored for power-sensitive devices like smartphones and edge nodes that seek to balance power, performance, and area efficiency. These cores are engineered to handle video resolutions up to 4K, as well as audio and text-based neural networks. Utilizing Expedera’s packet-based architecture, the Origin E2 ensures efficient parallel processing, reducing the need for device-specific optimizations, thus maintaining high model accuracy and adaptability. The E2 is flexible and can be customized to fit specific use cases, aiding in mitigating dark silicon and enhancing power efficiency. Its performance capacity ranges from 1 to 20 TOPS and supports an extensive array of neural network types including CNNs, RNNs, DNNs, and LSTMs. With impressive power efficiency rated at up to 18 TOPS/W, this NPU core keeps power consumption low while delivering high performance that suits a variety of applications. As part of a full TVM-based software stack, it provides developers with tools to efficiently implement their neural networks across different hardware configurations, supporting frameworks such as TensorFlow and ONNX. Successfully applied in smartphones and other consumer electronics, the E2 has proved its capabilities in real-world scenarios, significantly enhancing the functionality and feature set of devices.
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 RV12 RISC-V Processor is a versatile, highly configurable single-issue CPU designed for the embedded market, adhering to the RV32I and RV64I RISC-V instructions. This processor implements a Harvard architecture, enabling simultaneous access to instruction and data memory, enhancing overall performance. The RV12 is part of Roa Logic's extensive CPU family, which is characterized by flexibility and underpinning efficient resource utilization for embedded systems.
The eSi-1600 is a compact 16-bit RISC CPU crafted for efficiency in both cost and power consumption. This processor shows performance characteristics akin to more costly 32-bit CPUs, while maintaining a system cost competitive with 8-bit processors. It suits applications requiring control in mature mixed-signal processes, needing less than 64kB of memory. The architecture supports up to 16 general-purpose registers, offering 92 basic instructions and 10 addressing modes. The small gate count keeps silicon area at a minimum, fostering significant power savings especially when operating at reduced frequencies, thus extending battery life in embedded applications. Equipped with a 5-stage pipeline, it manages a high clock frequency, even within seasoned manufacturing processes, entailing less power wastage and efficient performance management.
The eSi-3250 represents a high-performance 32-bit RISC core designed to efficiently integrate into ASIC and FPGA contexts, where slower or off-chip memories are employed. It addresses high-performance demands through separate instruction and data caches and supports configurations in size and associativity to enhance both performance and power efficiency. The optional memory management unit (MMU) supports physical or virtual memory deployments while ensuring secure and efficient memory management. This processor excels in providing exceptional code density alongside a diverse set of arithmetic and application-specific instructions. Its capacity to handle multiple interrupts and its robustness in high-frequency processes make it suitable for demanding embedded applications
The Veyron V2 CPU extends Ventana Micro Systems' commitment to delivering top-tier performance capabilities within the RISC-V framework. Designed for data center-class workloads, the Veyron V2 enhances efficiencies across cloud and hyperscale ecosystems, making it a strategic choice for enterprise operations requiring unparalleled processing strength and adaptability. Building upon the foundation laid by its predecessor, the Veyron V2 improves both processing speed and efficiency, providing an edge in handling diverse applications in data-intensive contexts. Its enhanced architecture supports extensible instruction sets, bridging the computational needs between various enterprise, automotive, and artificial intelligence markets with precision and reliability. Integrated within the Veyron product line's broader ecosystem, the V2 CPU emphasizes Ventana’s dedication to fostering adaptable, forward-thinking computing environments. It assures businesses of scalable performance improvements, aligning seamlessly with existing systems to promote effortless adoption across complex and varied IT landscapes.
The AX45MP processor is a multi-core, 64-bit CPU core designed for high-performance computing environments. It supports vector processing and includes features like a level-2 cache controller to enhance data handling and processing speeds. This makes it ideal for rigorous computational tasks including scientific computing and large-scale data processing environments.
SCR9 is tailored for entry-level server-class applications and high-performance computing. This 64-bit RISC-V core supports a range of extensions, including vector operations and scalar cryptography. Utilizing a dual-issue 12-stage pipeline, SCR9 excels in environments requiring Linux-based operations, enabling advanced data processing capabilities like those needed in AI and personal computing devices.
The xcore.ai platform stands as an economical and high-performance solution for intelligent IoT applications. Designed with a unique multi-threaded micro-architecture, it supports applications requiring deterministic performance with low latency. The architecture features 16 logical cores, split between two multi-threaded processor tiles, which are equipped with 512 kB of SRAM and a vector unit for both integer and floating-point computations. This platform excels in enabling high-speed interprocessor communications, allowing tight integration among processors and across multiple xcore.ai SoCs. The xcore.ai offers scalable performance, adapting the tile clock frequency to meet specific application requirements, which optimizes power consumption. Its ability to handle DSP, AI/ML, and I/O processing within a singular development environment makes it a versatile choice for creating smart, connected products. The adaptability of the xcore.ai extends to various market applications such as voice and audio processing. It supports embedded PHYs for MIPI, USB, and LPDDR control processing, and utilizes FreeRTOS across multiple threads for robust multi-threading performance. On an AI and ML front, the platform includes a 256-bit vector processing unit that supports 8-bit to 32-bit operations, delivering exceptional AI performance with up to 51.2 GMACC/s. All these features are packaged within a development environment that simplifies the integration of multiple application-specific components. This makes xcore.ai an essential platform for developers aiming to leverage intelligent IoT solutions that scale with application needs.
Cortus CIoT25 is an inventive solution aimed at enhancing IoT connectivity with its ultra-energy-efficient RISC-V architecture. Supporting Sub-1 GHz unlicensed ISM bands, the CIoT25 makes IoT devices smarter and more efficient, reducing both power consumption and operational costs significantly. The design is specifically crafted for smart home devices and low-power sensor networks, offering unparalleled integration in the IoT domain. The CIoT25's unique architecture ensures high adaptability to varying IoT environments, enabling tailored performance delivery for distinct applications. Its comprehensive support for diverse communication protocols makes it an ideal candidate for multi-platform IoT setups, leading to widespread adoption among IoT service providers seeking reliable communication hardware. With the increasing demands of connected environments, the CIoT25 meets the intricate requirements of modern applications by offering seamless functionality over extended periods, largely due to its low operational energy demand. This microcontroller is set to empower a new wave of IoT devices with its intelligent resource management and superior data handling capabilities.
Origin E6 NPU cores are cutting-edge solutions designed to handle the complex demands of modern AI models, specializing in generative and traditional networks such as RNN, CNN, and LSTM. Ranging from 16 to 32 TOPS, these cores offer an optimal balance of performance, power efficiency, and feature set, making them particularly suitable for premium edge inference applications. Utilizing Expedera’s innovative packet-based architecture, the Origin E6 allows for streamlined multi-layer parallel processing, ensuring sustained performance and reduced hardware load. This helps developers maintain network adaptability without incurring latency penalties or the need for hardware-specific optimizations. Additionally, the Origin E6 provides a fully scalable solution perfect for demanding environments like next-generation smartphones, automotive systems, and consumer electronics. Thanks to a comprehensive software suite based around TVM, the E6 supports a broad span of AI models, including transformers and large language models, offering unparalleled scalability and efficiency. Whether for use in AR/VR platforms or advanced driver assistance systems, the E6 NPU cores provide robust solutions for high-performance computing needs, facilitating numerous real-world applications.
The PolarFire FPGA Family is designed to deliver cost-efficient and ultra-low power solutions across a spectrum of mid-range applications. It is ideal for a variety of markets that include industrial automation, communications, and automotive sectors. These FPGAs are equipped with transceivers that range from 250 Mbps to 12.7 Gbps, which enables flexibility in handling diverse data throughput requirements efficiently. With capacities ranging from 100K to 500K Logic Elements (LEs) and up to 33 Mbits of RAM, the PolarFire FPGAs provide the perfect balance of power efficiency and performance. These characteristics make them suitable for use in applications that demand strong computational power and data processing while maintaining energy consumption at minimal levels. Additionally, the PolarFire FPGA Family is known for integrating best-in-class security features, offering exceptional reliability which is crucial for critical applications. The architecture is built to facilitate easy incorporation into various infrastructure setups, enhancing scalability and adaptability for future technological advancements. This flexibility ensures that the PolarFire FPGAs remain at the forefront of the semiconductor industry, providing solutions that meet the evolving needs of customers worldwide.
The RISC-V Hardware-Assisted Verification platform by Bluespec is engineered to offer an efficient and comprehensive approach to verifying RISC-V cores. It accelerates the verification process, allowing developers to confirm the functionality of their designs at both the core and system levels. The platform supports testing in diverse environments, including RTOS and Linux, which makes it versatile for a broad spectrum of applications. A distinguishing feature of this platform is its ability to verify standard ISA extensions as well as custom ISA extensions and accelerators. This capability is crucial for projects that require additional customization beyond the standard RISC-V instruction sets. Furthermore, by facilitating anytime, anywhere access through cloud-based solutions like AWS, it enhances the scalability and accessibility of verification processes. The platform is a valuable tool for developers who work on cutting-edge RISC-V applications, providing them with the confidence to validate their designs rigorously and efficiently. This verification tool is essential for developers aiming for high assurance in the correctness and performance of their systems.
The AndesCore range includes high-performance 32-bit and 64-bit CPU core families tailored for emerging market segments. These processors, adhering to the RISC-V technology and AndeStar V5 ISA, span across several series such as the Compact, 25-Series, 27-Series, 40-Series, and 60-Series. Each series is designed for specific applications, offering features like high per-MHz performance, vector processing units (VPUs), branch prediction, and memory management enhancements like MemBoost, which optimizes memory bandwidth and latency.
The Chimera GPNPU series stands as a pivotal innovation in the realm of on-device artificial intelligence computing. These processors are engineered to address the challenges faced in machine learning inference deployment, offering a unified architecture that integrates matrix, vector, and scalar operations seamlessly. By consolidating what traditionally required multiple processors, such as NPUs, DSPs, and real-time CPUs, into a single processing core, Chimera GPNPU reduces system complexity and optimizes performance. This series is designed with a focus on handling diverse, data-parallel workloads, including traditional C++ code and the latest machine learning models like vision transformers and large language models. The fully programmable nature of Chimera GPNPUs allows developers to adapt and optimize model performance continuously, providing a significant uplift in productivity and flexibility. This capability ensures that as new neural network models emerge, they can be supported without the necessity of hardware redesign. A remarkable feature of these processors is their scalability, accommodating intensive workloads up to 864 TOPs and being particularly suited for high-demand applications like automotive safety systems. The integration of ASIL-ready cores allows them to meet stringent automotive safety standards, positioning Chimera GPNPU as an ideal solution for ADAS and other automotive use cases. The architecture's emphasis on reducing memory bandwidth constraints and energy consumption further enhances its suitability for a wide range of high-performance, power-sensitive applications, making it a versatile solution for modern automotive and edge computing.
The Veyron V1 CPU by Ventana Micro Systems illustrates their commitment to advancing high-performance computing solutions within the RISC-V family of processors. This cutting-edge processor is tailored specifically for high-demand workloads in data centers, ensuring reliable and efficient operation across various performance metrics. The Veyron V1 embodies Ventana’s design philosophy of combining competitive efficiency levels with robust processing capabilities. Characterized by its versatility, the V1 CPU stands out for its adaptability across a wide range of data center applications. The Veyron V1 seamlessly integrates into existing infrastructures while offering scalable performance improvements without the burden of excessive power consumption. This makes it an ideal choice for businesses seeking to enhance their computing prowess without substantial energy overhead. Ventana’s focus on maintaining high standards of efficiency ensures that the Veyron V1 CPU meets the stringent demands of modern data-intensive environments. It offers enhanced instruction sets and high-speed processing, making it well-suited to serve dynamic and evolving enterprise needs. The presence of innovative technologies in the Veyron V1 advances RISC-V architecture, showcasing the practical adaptability of Ventana’s IP offerings.
Trion FPGAs by Efinix are engineered to meet the demanding needs of the fast-paced edge computing and IoT markets. These FPGAs feature Efinix's innovative Quantum® compute fabric, providing a compact yet powerful processing platform. Particularly suitable for general-purpose applications, Trion devices cover a range of logic densities to suit various needs, from mobile and IoT to consumer-oriented and industrial applications. Built on a 40 nm process node, Trion FPGAs incorporate critical functionalities such as GPIO, PLLs, MIPI interfaces, and DDR controllers, establishing a versatile base for numerous potential implementations. These features allow developers to address complex compute tasks efficiently, making Trion FPGAs ideal for scenarios where space is at a premium and performance cannot be compromised. Trion FPGAs are designed for development speed and simplicity, supported by their small package sizes and efficient power consumption. This makes them particularly appropriate for handheld devices and application sectors such as med-tech and smart home technology. With ready capabilities for image enhancement, feature extraction, and real-time data processing, Trion FPGAs facilitate the rapid deployment of smart solutions. Besides their technical robustness, Trion devices offer a strategic advantage with their long-term lifecycle support until at least 2045, aligning with the extended production needs typical in industrial fields. This, coupled with their seamless configuration and migration features, sets Trion FPGAs apart as a top choice for integrated and edge applications.
The Dynamic Neural Accelerator II Architecture (DNA-II) by EdgeCortix is a sophisticated neural network IP core structured for extensive parallelism and efficiency enhancement. Distinguished by its run-time reconfigurable interconnects between computing elements, DNA-II supports a broad spectrum of AI models, including both convolutional and transformer networks, making it suitable for diverse edge AI applications. With its scalable performance starting from 1K MACs, the DNA-II architecture integrates easily with many SoC and FPGA applications. This architecture provides a foundation for the SAKURA-II AI Accelerator, supporting up to 240 TOPS in processing capacity. The unique aspect of DNA-II is its utilization of advanced data path configurations to optimize processing parallelism and resource allocation, thereby minimizing on-chip memory bandwidth limitations. The DNA-II is particularly noted for its superior computational capabilities, ensuring that AI models operate with maximum efficiency and speed. Leveraging its patented run-time reconfigurable data paths, it significantly increases hardware performance metrics and energy efficiency. This capability not only enhances the compute power available for complex inference tasks but also reduces the power footprint, which is critical for edge-based deployments.
The RISC-V CPU IP N Class is engineered to offer a versatile and highly configurable solution for microcontroller and AIoT applications. It supports a 32-bit architecture, making it ideal for scenarios that demand efficient performance and resource optimization. The IP includes comprehensive tools and resources, such as SDKs and RTOS/Linux support, to facilitate seamless integration into diverse computing environments. This IP supports various security and functional safety features, ensuring robust operation in critical applications. Its flexible configuration options allow for customization to meet specific system requirements, making it a prime choice for developers seeking a tailored solution without compromising on performance or security. Moreover, the N Class IP is backed by an ecosystem that includes tool-chains, SDKs, and other essential resources, providing an end-to-end solution for developers. Its adaptability and feature-rich design equip it to handle emerging demands in microcontroller applications, establishing it as a reliable and future-proof choice.
The A25 processor series, part of AndesCore CPU portfolio, features a 32-bit high-performance core designed to handle diverse applications with efficiency. It offers capabilities such as data prefetch, exceptional power efficiency, and flexible application support, making it suitable for varied market needs across numerous platforms.
The General Purpose Accelerator, known as Aptos, from Ascenium is a state-of-the-art innovation designed to redefine computing efficiency. Unlike traditional CPUs, Aptos is an integrated solution that enhances performance across all generic software applications without requiring modifications to the code. This technology utilizes a unique compiler-driven approach and simplifies CPU architecture, making it adept at executing a wide range of computational tasks with significant energy efficiency. At the heart of the Aptos design is the capability to handle tasks typically managed by out-of-order RISC CPUs, yet it does so with a streamlined and parallel approach, allowing data centers to move past current performance barriers. The architecture is aligned with the LLVM compiler, ensuring that it remains source-code compatible with numerous programming languages, an advantage when future-proofing investments in software infrastructure. The efficiency gains from Aptos are notably due to its ability to handle standard high-level language software in a more efficient manner, achieving nearly four times the efficiency compared to existing state-of-the-art CPUs. This is instrumental in reducing the energy footprint of data centers globally, aligning with broader sustainability goals by cutting carbon emissions and operational costs. Moreover, this makes the technology extremely appealing to organizations seeking tangible ROI through energy savings and performance enhancements.
The Low Power RISC-V CPU IP from SkyeChip is crafted to deliver efficient computation with minimal power consumption. Featuring the RISC-V RV32 instruction set, it supports a range of functions with full standard compliance for instruction sets and partial support where necessary. Designed exclusively for machine mode, it incorporates multiple vectorized interrupts and includes comprehensive debugging capabilities. This CPU IP is well-suited for integration into embedded systems where power efficiency and processing capability are crucial.
The Ultra-Low-Power 64-Bit RISC-V Core by Micro Magic, Inc. is a groundbreaking processor core designed for efficiency in both power consumption and performance. Operating at a mere 10mW at 1GHz, this core leverages advanced design techniques to run at reduced voltages without sacrificing performance, achieving clock speeds up to 5 GHz. This innovation is particularly valuable for applications requiring high-speed processing while maintaining low power usage, making it ideal for portable and battery-operated devices. Micro Magic's 64-bit RISC-V architecture embraces a streamlined design that minimizes energy consumption and maximizes processing throughput. The core's architecture is optimized for high performance under low-power conditions, which is essential for modern electronics that require prolonged battery life and environmental sustainability. This core supports a wide range of applications from consumer electronics to automotive systems where energy efficiency and computational power are paramount. The RISC-V core also benefits from Micro Magic's suite of integrated design tools, which streamline the development process and enable seamless integration into larger systems. With a focus on reducing total ownership costs and enhancing product life cycle, Micro Magic's RISC-V core stands out as a versatile and eco-friendly solution in the semiconductor market.
The Arria 10 System on Module (SoM) is designed with a focus on embedded and automotive vision applications, leveraging the robust capabilities of the Arria 10 SoC devices. Packed in a compact form factor of 8 cm by 6.5 cm, this module incorporates a multitude of interfaces, offering immense flexibility and a wide array of functionalities suitable for high-performance tasks. This SoM integrates an Altera Arria 10 FPGA with 160 to 480 KLEs along with a Cortex A9 Dual Core CPU, ensuring efficient computational performance. It features a sophisticated power management system and support for dual DDR4 memory interfaces, optimizing power distribution and memory efficiency for safety-critical applications which demand precision and reliability. The Arria 10 SoM is crafted to maximize data throughput, with capabilities such as PCIe Gen3 x8 and 10/40 GBit/s Ethernet interfaces, alongside dedicated clocking arrangements for minimized jitter. Supporting high-speed data transmissions via multiple LVDS lanes and USB interfaces, it's engineered to handle demanding operations in sophisticated systems requiring rapid processing speeds and expansive interfacing.
The eSi-1650 distinguishes itself by integrating an instruction cache into its low-power 16-bit RISC architecture. This core focuses on offering a power and area-efficient solution for mature process nodes where OTP or Flash are implemented for program storage. The instruction cache aids in overcoming the limitations posed by memory speed, thus maximizing CPU frequency and minimizing the overall silicon impression. Ideal for low-power applications where an 8-bit CPU might be impractical or a 32-bit CPU excessive, it delivers exceptional code density without compromising on performance thanks to its rich instruction mix capable of efficient power gating and rapid interrupt handling.
The Universal Drive Controller offers robust motion control for a variety of motors, including DC, brushless, and stepper varieties. It features comprehensive position control and a trajectory planner, eliminating the need for additional drive controller chips and thus conserving PCB space. With field-oriented control for brushless motors and autonomous error handling capabilities, this controller provides a single-chip solution designed to lower costs while enhancing system efficiency.
The SiFive Essential family is all about customization and configurability, meeting diverse market conditions with a range from low-power embedded systems to high-performance application processors. SiFive's Essential processors boast scalability in performance, allowing them to cater to applications like IoT devices and real-time control. This customization extends to their architecture, facilitating specific configurations to match exact needs, highlighting their utility in varied industrial applications.
The Codasip RISC-V BK Core Series offers a versatile range of processor cores designed to cater to various performance and power requirements. These cores are tailored to deliver optimal performance per watt, making them an ideal choice for applications requiring high efficiency. The BK Core Series is engineered to provide scalable solutions, allowing developers to customize the cores as per their specific application needs, ensuring a perfect balance between power consumption, performance, and area. These processors are built on the open RISC-V architecture, which offers unparalleled design flexibility and innovation freedom. Developers benefit from an ecosystem that encourages the creation and optimization of specialized processing units, thereby achieving unique differentiation in the market. This freedom in design translates to enhanced computational performance and the ability to address the ever-evolving demands of various industries. With a focus on customization, the BK Core Series supports a wide range of security features and applications, ensuring that developers can tailor the cores to their desired specifications. This makes the series particularly valuable in environments where tailored solutions are necessary to meet specific computational or security standards.
The RISC-V Core-hub Generators by InCore Semiconductors provide an advanced level of customization for developing processor cores. These generators are tailored to support configuration at both the Instruction Set Architecture (ISA) and the microarchitecture levels, enabling designers to create cores that meet specific functional and performance needs. By allowing detailed customization, these generators support a wide range of applications, from simple embedded devices to complex industrial systems. The Core-hub Generators are designed to streamline the SoC development process by integrating optimized SoC fabrics and UnCore components such as programming interfaces, debugging tools, and interrupt controllers. This comprehensive integration facilitates efficient communication between different processing units and peripheral devices, thereby enhancing overall system performance. InCore's generators leverage the flexibility and scalability of RISC-V technology, promoting innovation and accelerating the deployment of custom silicon solutions. This makes them an ideal choice for designers looking to build cutting-edge SoCs with enhanced capabilities and reduced development times.
The SiFive Performance family is designed for superior compute density and performance efficiency, particularly for datacenter and AI workloads. The family includes 64-bit out-of-order cores ranging from 3 wide to 6 wide configurations, supported by dedicated vector engines for AI tasks. This design ensures a blend of energy efficiency and area optimization, making these cores ideal for handling complex, data-intensive tasks while maintaining a compact footprint.
Optimized for power efficiency and high-frequency operations, the Tianqiao-80 CPU core is crafted for applications requiring fast processing speeds with minimal power consumption. It targets mobile, automotive, and intelligent computing applications with its 64-bit RISC-V architecture. This core supports scalable performance and features efficient processing ideal for workload-intensive environments.
The Y180 processor, a Zilog Z180 CPU clone, is engineered for simplicity with an 8K gate design. Systemyde has developed this processor with a focus on lightweight, efficient operation. Its architectural blueprint ensures seamless integration with various processing systems. With a lean design, the Y180 is tailored primarily for projects that require basic, straightforward processor functions while maintaining high efficiency. This CPU exemplifies Systemyde's commitment to offering a wide range of IP solutions suitable for different performance requirements and technological constraints.
The 1000 Series by Akeana offers high-performance processing capabilities designed to tackle data-heavy computational tasks. With features aimed at enhancing throughput and power efficiency, these processors are suitable for environments that require robust processing power like AI on the edge, industrial automation, and automotive sensing. Supporting rich operating systems like Android and Linux, the 1000 Series is crafted to ensure superior performance with efficient power management, making it a prime choice for modern high-demand applications.
The RISC-V Core IP from AheadComputing is their flagship offering, built on the highly versatile and increasingly popular RISC-V architecture. This core IP represents their dedication to bringing efficient and powerful processing capabilities to the market. It is designed with flexibility in mind, ensuring adaptability across a wide range of applications from consumer electronics to high-performance computing systems.\n\nAheadComputing's RISC-V Core IP is crafted to optimize performance metrics such as power efficiency and processing speed, making it a perfect fit for next-generation computing demands. The architecture allows for a high degree of customization, providing clients the ability to tailor the IP to meet specific computational and architectural needs.\n\nFurthermore, this RISC-V core is backed by AheadComputing's robust verification processes, ensuring that the core meets stringent quality and performance standards. The IP is supported by the expertise of the company's founding engineers, whose backgrounds in major tech firms like Intel lend credibility and reliability to their designs.
Riviera-PRO is a verification and simulation tool designed to meet the demands of cutting-edge FPGA and SoC development. It provides an environment where engineers can maximize testbench productivity through advanced automation and reusability features. Riviera-PRO leverages a high-performance simulation engine, combining it with powerful debugging capabilities to ensure seamless design verification. Among its most notable features is the ability to support metric-driven verification methodologies, enabling thorough checks and balances throughout the project lifecycle. The tool also integrates seamlessly with Universal Verification Methodology (UVM), Open Source VHDL Verification Methodology (OSVVM), and more, providing a versatile environment for verifying a wide range of engineering designs. For engineers working in industries with rigorous standards, such as aerospace or automotive sectors, Riviera-PRO's scalability and efficiency in handling simulation acceleration and emulation capabilities make it an invaluable addition to the engineering toolkit, ensuring projects are delivered both on time and specification.
The SiFive Automotive suite provides optimized RISC-V processors tailored for automotive applications, ensuring not only performance but also adherence to industry safety standards like ISO26262 and ISO/SAE 21434. These processors cater to advanced automotive systems, offering scalability, low power consumption, and robust security measures. They're designed to handle the high demands of next-generation vehicles, covering everything from safety islands to central computing requirements while being flexible enough to adapt to emerging automotive challenges.
The SiFive Automotive E6-A processor is crafted to meet the burgeoning demands of the automotive sector, offering a suite of RISC-V safety processors that comply with ISO26262 standards. Featuring balanced performance and efficiency, the E6-A series supports automotive safety functions across ASIL B and D ratings. This processor is ideal for advanced driver-assistance systems (ADAS), in-vehicle infotainment, and automotive body control, emphasizing low power consumption and compact design, all while ensuring high reliability and system security.
ChipJuice is an innovative tool for reverse engineering integrated circuits, uniquely designed for comprehensive IC analysis and security evaluation. This versatile software tool supports digital forensics, backdoor research, and IP infringement investigations, making it indispensable for labs, government entities, and semiconductor companies. ChipJuice operates efficiently across various IC architectures, allowing users to extract internal architecture details and generate detailed reports, including netlists and hardware description language files. The tool's intuitive user interface and high-performance processing algorithms make it accessible to users of different expertise levels, from beginners to advanced professionals. It is capable of handling a wide range of chips, regardless of their size, technology node, or complexity, providing a scalable solution for diverse reverse engineering tasks. ChipJuice's automated standard cell research feature further enhances its analytic capabilities, enabling efficient identification and cataloging of IC components. Moreover, ChipJuice facilitates a seamless analysis process by simply using electronic images of a chip's digital core. This allows for precise signal tracing and thorough IC evaluation, supporting its users' strategic objectives in security audits and architectural exploration. ChipJuice is an essential tool for those seeking to delve deep into ICs for security validation and developmental insights.
The eSi-3264 stands as the pinnacle of the eSi-RISC family, offering a 32/64-bit processor with advanced DSP extensions supporting SIMD (Single Instruction Multiple Data) operations. Engineered for applications requiring significant DSP functionality without a high silicon footprint, the eSi-3264 integrates dual/quad-multiply-accumulate units for complex arithmetic operations. Enhancements include both single and double precision floating-point instructions conforming to the IEEE-754 standard. With a configurable memory management unit (MMU) and cache architecture, it manages high data throughput with minimal delay. Tailored for audio, sensor hub, motion control, and similar applications, this processor delivers robust performance in a power-efficient package.
The NX Class of RISC-V CPU IP is crafted to serve the needs of applications such as storage, AR/VR, and AI with its potent 64-bit architecture. Its design focus lies in offering enhanced computing capabilities and data throughput, pivotal for tasks demanding high-efficiency processing. With features that support advanced data handling and computational tasks, the NX Class IP is well-suited for environments where large datasets and complex algorithms are at play. This makes it an excellent fit for AR/VR applications, where real-time data processing is paramount. The IP is complemented by an extensive development ecosystem, including SDKs and support for various RTOS/Linux environments. Its design ensures compatibility with state-of-the-art technologies, providing a reliable foundation for innovative industry solutions.
Efinix's Titanium Ti375 FPGA is a high-density device designed for applications demanding low power consumption alongside robust processing capabilities. This FPGA is embedded with the Quantum® compute fabric, an architecture that delivers significant power, performance, and area benefits. Notably, the Ti375 incorporates a hardened quad-core RISC-V block, various high-speed transceivers for protocols like PCIe Gen4, and supports LPDDR4 DRAM for efficient memory operations. The Ti375 excels in its ability to facilitate high-speed communications and sophisticated data processing, owing in part to its multiple full-duplex transceivers. These transceivers support a swath of industries by enabling data rates up to 16 Gbps for PCIe interfaces or up to 10 Gbps for Ethernet links. Additionally, the FPGA is equipped with advanced MIPI D-PHY functionalities, crucial for applications in the fields of imaging and vision. This versatile FPGA supports the development of complex systems, from industrial automation to advanced consumer electronics, by offering features like extensive I/O configurations and on-board debugging capabilities. With the comprehensive Efinity software suite, developers can streamline the transition from RTL design to bitstream generation, enhancing project timelines significantly. Whether used as a standalone solution or integrated into a larger system, the Ti375 provides an adaptable framework for modern design challenges.
The TySOM Boards family, developed by Aldec, is a range of versatile embedded system prototyping boards tailored to support rapid development of complex applications. With options featuring FPGAs like the Xilinx Zynq UltraScale+, Zynq-7000, and the Microchip PolarFire SoC, these prototyping boards cater to a wide array of sectors from automotive to industrial automation. These boards are distinguished by their compatibility with industry standard interfaces such as FMC and BPX, allowing for flexible expansion through Aldec's extensive range of daughter cards. This adaptability makes TySOM boards an asset for projects in artificial intelligence, machine learning, and Internet of Things (IoT), especially where complex, high-performance embedded systems are in demand. Providing a robust platform for both prototyping and real-world deployment, TySOM boards ensure developers can move swiftly from concept to prototype, achieving efficiency in the design lifecycle. This practicality extends to applications such as automotive ADAS, embedded vision, and edge-processing, making the family integral to contemporary embedded solution projects.