Conveners
AI Hardware and Infrastructure
- Yihui Ren (Brookhaven National Laboratory)
The upcoming Doudna system at NERSC will be a next-generation supercomputer to support the US Department of Energy, Office for Science's evolving workload. It is designed to support complex workflows combining data movement and analysis, AI and large-scale simulations. This talk will describe lessons learnt from NERSC's current AI for Science workload, as well as emerging directions and...
A condensed version of a 90 minute talk, the focus is on how tenstorrent is attempting to minimize the mental context switch required when dealing with various scales of hardware, thinning out software abstractions, and approaching the user community first and foremost to enable them.
In this talk, I will first discuss how new mapping solutions, i.e., composing heterogeneous accelerators within a system-on-chip with both FPGAs and AI tensor cores, achieve orders of magnitude energy efficiency gains when compared to monolithic accelerator mapping designs for deep learning applications. Then, I will apply such novel mapping solutions to show how design space explorations are...
