Once Upon A Time... ASIC designers developed IC for Supercomputer in the 80's
During last week-end, I had the good surprise to meet with one of my oldest friend, Eric, and his wife and 3 kids. Then we remind the old good time (when we could have a long night but short sleep time, then go to work) where we were working together as ASIC designers for… a Supercomputer project. In France, in a French company (Thomson CSF) active in the military segment and being able to spend which was at that time a fortune ($25M) to develop a supercomputer from scratch, and when I say from scratch, that mean that we had to invent almost everything, except the ASIC design methodology and the EDA tools, both being provided by VLSI Technology Inc. To be honest, we have been very lucky that a French solution (like Matra Harris Semiconductor or Thomson Composant Speciaux) had not be chosen, which could have happened for obscure political reasons. We had in our hands which were considered as the Rolls Royce for ASIC designers in 1987: all the design team was equipped with SUN workstation, and the design tool set from VLSI was really user friendly… except it was missing a synthesis tool, but none of us knew Synopsys, this obscure start-up, so we were pretty happy to start. Just for your information, I will describe what was the type of work done by a two engineer team during a 18 month period.
To read the full article, click here
Related Semiconductor IP
- nQrux® Root of Trust IP
- AXI to UCIe Bridge IP
- UCIe 2.x Controller IP
- SWI3S (SoundWire I3S Interface) Peripheral Controller Core IP
- OpenTitan-based RISC-V Secure Element
Related Blogs
- Maximizing SoC Longevity with PCIe 3.0: A Designer’s Guide
- Mixed Signal Success Requires the Voice of Analog Designers
- Between ASIC and microcontroller: It's all about System Realization
- Are we on the verge of a new ASIC era? DARPA’s Nanowriter and practical e-beam lithography
Latest Blogs
- From Bug Hunting to Engineering Methodology: Lessons from AI-Driven Development
- Manufacturing Intelligence: Turning EDA Data into Trusted Action
- Execute-in-Place: Getting More from Embedded NVM
- Rethinking RTL flows with AI-driven hybrid formal verification
- Arm and NVIDIA: Building the trusted compute foundation for the agentic AI era