Say Goodbye to Limits and Hello to Freedom of Scalability in the MIPS P8700
Do you need more compute elements? Do you need more memory? Do you need more cache? Last week we announced the MIPS P8700, the industry’s first AI-enabled RISC-V automotive CPU for ADAS and autonomous vehicles. The MIPS P8700 gives you the freedom to choose how to solve your problem.
How is scalability optimized?
The MIPS P8700 scalability starts with the core. Your core can choose one or two high performance, out-of-order compute engines known as harts within a single core. That same core can choose 32KB or 64KB L1 instruction cache and 32KB or 64KB L1 data cache for the two harts to share.
You can further enhance the core with L2 cache from 256KB to 2MB. At this L2 level you can also keep building with multiple cores in a single cluster. Add up to 5 more cores to give a cluster of 6 cores and 12 harts of compute with a shared L2 cache.
To read the full article, click here
Related Semiconductor IP
Related Blogs
- The Silent Guardian of AI Compute - PUFrt Unifies Hardware Security and Memory Repair to Build the Trust Foundation for AI Factories
- The 5 Biggest Challenges in Modern SoC Design (And How to Solve Them)
- Half of the Compute Shipped to Top Hyperscalers in 2025 will be Arm-based
- How to Solve the Size, Weight, Power and Cooling Challenge in Radar & Radio Frequency Modulation Classification
Latest Blogs
- Embedded Security explained: Secure boot for embedded systems
- World's First Standards-Compliant 112G PHY IP for Linear Optics: A Turning Point for AI Interconnects
- One Key for Every Door: How Aliro Extends the UWB Digital Key Beyond the Car
- Reprogrammable Post-Quantum Security for SoCs: Why Crypto-Agility Matters
- Designing the Beam Steering Core for a C-Band AESA: A Look at VSI's VBF0644 GaAs Beamformer IC