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Addressing increasing performance requirements for artificial intelligence (AI) systems on chip (SoCs), Synopsys, Inc. (Nasdaq: SNPS) today announced its new neural processing unit (NPU) IP and toolchain that delivers the industry’s highest performance and support for the latest, most complex neural network models. Synopsys DesignWare® ARC® NPX6 and NPX6FS NPU IP address the demands of real-time compute with ultra-low power consumption for AI applications. To accelerate application software development for the ARC NPX6 NPU IP, the new DesignWare ARC MetaWare MX Development Toolkit provides a comprehensive compilation environment with automatic neural network algorithm partitioning to maximize resource utilization.
New DesignWare ARC NPX6 NPU IP Delivers Up to 3,500 TOPS Performance for Automotive, Consumer and Data Center Chip Designs
“Based on our seamless experience integrating the Synopsys DesignWare ARC EV Processor IP into our successful NU4000 multi-core SoC, we have selected the new ARC NPX6 NPU IP to further strengthen the AI processing capabilities and efficiency of our products when executing the latest neural network models,” said Dor Zepeniuk, CTO at Inuitive, a designer of powerful 3D and vision processors for advanced robotics, drones, augmented reality/virtual reality (AR/VR) devices and other edge AI and embedded vision applications. “In addition, the easy-to-use ARC MetaWare tools help us take maximum advantage of the processor hardware resources, ultimately helping us to meet our performance and time-to-market targets.”
Real-Time Responses with Scalable Neural Processors
Advanced driver assistance systems (ADAS), surveillance, digital TVs and cameras and other emerging AI applications that implement complex neural network models are putting greater demands on compute and memory resources, often for safety-critical functions. To address the range of application requirements, the ARC NPX6 NPU IP:
DesignWare ARC NPX6FS NPU IP meets stringent random hardware fault detection and systematic functional safety development flow requirements to achieve up to ISO 26262 ASIL D compliance. The processors, with comprehensive safety documentation included, feature dedicated safety mechanisms for ISO 26262 compliance and address the mixed-criticality and virtualization requirements of next-generation zonal architectures.
Comprehensive Software Environment
The ARC MetaWare MX Development Toolkit includes compilers and debugger, neural network software development kit (SDK), virtual platforms SDK, runtimes and libraries, and advanced simulation models. MetaWare MX offers a single toolchain to accelerate application development and automatically partitions algorithms across the MAC resources for highly efficient processing. For safety-critical automotive applications, the MetaWare MX Development Toolkit for Safety includes a safety manual and a safety guide to help developers meet the ISO 26262 requirements and prepare for ISO 26262 compliance testing.
“Higher resolution images, more cameras in systems, and more complex algorithms are driving AI processing requirements to high TOPS performance,” said John Koeter, Sr. VP, marketing and strategy in the Synopsys Solutions Group. “With the new DesignWare ARC NPX6 and NPX6FS NPU IP, as well as MetaWare MX Development Toolkits, designers can take advantage of the latest neural network models, meet growing performance demands and accelerate time-to-market for their next intelligent SoCs.”
Synopsys’ broad DesignWare IP portfolio includes logic libraries, embedded memories, IOs, PVT monitors, embedded test, analog IP, interface IP, security IP, embedded processors and subsystems. To accelerate prototyping, software development and integration of IP into SoCs, Synopsys’ IP Accelerated initiative offers IP prototyping kits, IP software development kits and IP subsystems. Our extensive investment in IP quality and comprehensive technical support enable designers to reduce integration risk and accelerate time-to-market. For more information, please visit https://www.synopsys.com/designware.
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