SiFive Core IP 20G1
SiFive's Best Processor Portfolio Is Here
We’re pleased to announce a comprehensive update to SiFive’s RISC-V IP Portfolio with the SiFive 20G1 release. This release brings important enhancements and new capabilities to SiFive Core IP, the industry's broadest RISC-V IP Portfolio, ranging from the ultra-capable SiFive U7-Series to the extremely popular SiFive E2-Series, offering up to 2.8x more performance(1); up to 25% lower power(2); and up to 11% smaller area(3). For a deep dive into the details of this exciting release, please register for my SiFive Connect webinar.
Setting the Standard for RISC-V Cores
SiFive offers processor cores based on the free and open RISC-V ISA - after all, SiFive was founded by the inventors of RISC-V. The mission of SiFive is to enable the development of domain-specific silicon, and market feedback combined with SiFive customer experience tells us that a processor core must include all of the necessary components to integrate, secure, and develop software for the CPU core - SiFive Shield, and SiFive Insight.
To read the full article, click here
Related Semiconductor IP
- All-In-One RISC-V NPU
- ISO26262 ASIL-B/D Compliant 32-bit RISC-V Core
- RISC-V CPU IP
- Data Movement Engine - Best in class multi-core high-performance AI-enabled RISC-V Automotive CPU for ADAS, AVs and SDVs
- 32-bit 8-stage superscalar processor that supports RISC-V specification, including GCNP and Linux
Related Blogs
- The SiFive 20G1 Update for 7-Series Core IP
- Incredibly Scalable High-Performance RISC-V Core IP
- High-Bandwidth Core Access to Accelerators: Enabling Optimized Data Transfers with RISC-V
- Rambus AES-32 Cryptographic Accelerator IP Core Is Common Criteria Certified
Latest Blogs
- Securing The Road Ahead: MACsec Compliant For Automotive Use
- Beyond design automation: How we manage processor IP variants with Codasip Studio
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding