Click HERE to Join the RISC-V Foundation Mail Lists
Workshop Proceedings & Recap
Thanks to everyone who attended the 7th RISC-V Workshop! With 515 attendees this was our biggest event yet, showcasing the incredible growth and momentum of the RISC-V ecosystem.
To view the Workshop proceedings, including the slides and video from every session, please visit: https://riscv.org/2017/12/7th-risc-v-workshop-proceedings/
We were excited to see the news unveiled by member companies announcing new solutions and partnerships, and a strong commitment to the RISC-V ISA. Below you’ll find a recap of these announcements and highlights of the media coverage that has appeared in various publications such as EE Times, eWeek and Forbes.
Sharing a special thanks to the Western Digital team for hosting the Workshop and doing a fantastic job of preparing for and helping us run the event.
We would also like to give a shout out to Antmicro and SiFive for their collaboration in designing the RISC-V Electronic Badge for speakers and press.
Andes Announces Advanced SoC Development Environment For V5 AndesCore™ N25 And NX25 Processors With Tool Partners
Codasip Announces Bk5-64, A New 64-Bit RISC-V Processor
Esperanto Technologies Plans Energy-Efficient Chips For Artificial Intelligence And Machine Learning, Based On The Open RISC-V Standard
Intrinsix Cryptographic IP Selected By DARPA For Use In CHIPS Program, Featuring RISC-V Security Processor
Reduced Energy Microsystems Joins RISC-V Foundation
Renode 1.2 With RISC-V Support To Be Presented At 7th RISC-V Workshop
RISC-V Processor Developer Suite Announced By Imperas
SEGGER Embedded Studio Supports RISC-V Architecture
SiFive Advances Custom Silicon Industry With New Partnerships, Products At 7th RISC-V Workshop
SiFive Joins FDXcelerator Program To Bring RISC-V Core IP To GLOBALFOUNDRIES’ 22FDX Process Technology
SiFive And Microsemi Expand Relationship With Strategic Roadmap Alignment And A Linux-Capable, RISC-V Development Board
Western Digital To Accelerate The Future Of Next Generation Computing Architectures For Big Data And Fast Data Environments