Bill Dally
NVIDIA’s Chief Scientist Bill Dally, said at the Design Automation Conference that computing is entering a world where performance increases are derived from parallelism and efficiency is determined by locality.
“Chip designers will need tool and techniques to optimize power, interconnect and locality. We are really looking to EDA (Electric Design Automation) to give us power tools. I want high-level tools that allow you to gain insights into power architectures very early in design,” Dally said.
Dally predicts that GPUs will continue to evolve rapidly in the following years, and until 2015, the GPUs will feature 5000 stream processing engines and about 20TFLOPs of computing power, based on 11nm process.
According to Dally, advanced EDA tools can enable performance leaps greater than those enabled by Moore’s Law.
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