"NoC, NoC" - Are You Listening to nVidia's Dally?
Recently Bill Dally, nVidia’s Chief Scientist & SVP of Research, and a professor of electrical engineering and computer science at Stanford University, has been out speaking quite a bit including a “short keynote” at the Design Automation Conference and a keynote at ISC 2013. The DAC audience is primarily EDA tool users and EDA tool developers. ISC’s attendees are high performance computing (HPC) experts. While the DAC talk focused on designer productivity, the ISC talk honed in on the challenges of exascale system design. The topics, in fact, are highly interrelated.
As Dally pointed out in his presentation at DAC, the key to greater design productivity is to work at higher levels of abstraction. While this should seem obvious, it does run a bit counter to the behavior of many engineers. Most designers work hard to squeeze out every bit of power, performance, or area (PPA), depending on the importance of each design constraint for their end product. This often means starting with a proven piece of IP in an RTL form and then changing it to “perfect it” for their needs. That perfection takes time, not just on the editing, but on the subsequent implementation and verification efforts. It would be much faster if the designer used all the hardened IP they could find. While the design will not be quite as good on overall PPA it would be ready for tape-out many months sooner.
To read the full article, click here
Related Semiconductor IP
- NoC System IP
- Non-Coherent Network-on-Chip (NOC)
- Coherent Network-on-Chip (NOC)
- High speed NoC (Network On-Chip) Interconnect IP
- Smart Network-on-Chip (NoC) IP
Related Blogs
- Will Apple Choose AMD's Fusion Chips Over NVIDIA?
- NVIDIA Project Denver: ARM Powered Servers
- Processor Wars: NVIDIA reveals a phantom fifth ARM Cortex-A9 processor core in Kal-El mobile processor IC. Guess why it's there?
- Amazon's Kindle Fire Spells Trouble for nVidia, Qualcomm and Intel
Latest Blogs
- Evolution of CXL PBR Switch in the CXL Fabric
- CNNs and Transformers: Decoding the Titans of AI
- How is RISC-V’s open and customizable design changing embedded systems?
- Imagination GPUs now support Vulkan 1.4 and Android 16
- From "What-If" to "What-Is": Cadence IP Validation for Silicon Platform Success