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DesignWare IP for Amazing AI
Optimized Processors, Memories, and Interface IP
White Paper
Memories for AI SoCs
Neuromorphic Computing Drives the Landscape of Emerging Memories for Artificial Intelligence SoCs.
Read Now
Webinar
AI SoC Architectures for Edge Computing
Join this webinar to get insights that will help you make decisions on your next AI SoC architecture.
Register Now
Article
System-level Power and Performance Optimization of AI SoC Architectures
How to optimize your AI SoC design through system and IP configuration.
Register Now
Watch Video: DesignWare IP for Amazing AI SoCs
Recent innovations in deep learning algorithms and neural network processing is driving new technology requirements for artificial intelligence (AI) SoCs. Deep learning capabilities are being added to SoCs across all markets including mobile, IoT, data center, automotive, and digital home. Synopsys’ silicon-proven DesignWare IP portfolio is addressing the diverse processing, memory, and connectivity requirements of each market.
Success Story
AI Silicon Success
Habana Labs First-Pass Silicon Success for AI Processor SoC Using DesignWare IP
Read Now
Video
Customer Success
Synopsys and Inuitive Demonstrate ARC EV6x Processor in NU4000 SoC
Article
Specialized Processing
Processors to manage massive and changing compute requirements for machine and deep learning tasks.
- Embedded Vision Processors support heterogeneous compute and high-performance convolutional neural networks (CNNs)
- Efficient ARC Processors provide scalar and vector capabilities and customizable APEX accelerators; tightly coupled memories alleviate bottlenecks; ARC Subsystems enable key AI functions
- ASIP Designer supports custom processing with parallelism and specialized datapath elements
Memory Performance
IP solutions to support efficient architectures for different memory constraints including bandwidth, capacity, cache coherency.
- DDR IP addresses capacity needs
- HBM2 IP addresses the bandwidth bottleneck
- CCIX enables cache coherency with virtualized memory capabilities for heterogeneous computing and reduced latency
- Foundation IP provides a wide array of embedded memories, logic libraries, TCAMs, and multi-port memories, with high density, low leakage, and high performance options
Real-Time Data Connectivity
Synopsys provides reliable connectivity to CMOS image sensors, microphones, and motion sensors for AI applications including vision, natural language understanding, and context awareness.
- IP in advanced FinFET technologies reduce power
- Broad portfolio of silicon-proven IP support the most widely used interfaces such as MIPI, USB/Display Port, HDMI, PCI Express, CCIX, Ethernet, etc.