risc-v us

summit

Imagination CPUs: The complete heterogeneous compute IP solution.

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Event Details:

13 December, 2022

San Jose, CA

Summary

Imagination provides the no-risk CPU for next-generation heterogeneous compute and AI, GPU and Ethernet IP to complete your RISC-V based SoC. We have 20+ years delivering complex high-performance IP and are leaders in SoC IP for automotive, mobile and data centre/desktop.

Drawing on over 30 years of RISC architectural development, RISC-V brings a fresh approach to the CPU industry. For over 20 years Imagination has delivered market-leading complex IP to its customers and has decades of experience in CPU. In December 2021 Imagination announced the Catapult CPU family, a RISC-V CPU product line designed from the ground-up for next-generation heterogeneous compute needs. It will be available in four distinct families: dynamic microcontrollers; real-time embedded CPUs; high-performance application CPUs; and functionally safe automotive CPUs.  

The first family, microcontrollers, are already shipping in high-performance automotive GPUs in SoCs from Imagination customers. Imagination’s real-time embedded CPU is now also licensable, following the launch of IMG RTXM-2200 in June 2022.

Imagination will be attending as a platinum sponsor on 13-14 December in San Jose. We will be presenting in 3 sessions, running a live demo on our latest Catapult SDK, and will also be providing a workshop to help academia to set up a RISC-V course. Find out more detail below.

Presentations

Using RISC-V in Heterogeneous Solutions to Solve Compute Challenges Presented in the Automotive Industry

Speaker:

Naresh Menon, Director of Product Management, CPU, Imagination Technologies

Panel: It Takes a Village… to Build an Ecosystem

Speakers:

Amber Huffman, Google; Dan Mender, Green Hills Software; Peter Lewin, Imagination Technologies; Rob Aitken, Synopsys; Phil Dworsky, SiFive

RVfpga: Understanding Computer Architecture In-person Workshop

Teaching Computer Architecture? Bring RISC-V to your course in computer architecture using RVfpga.