Advances in Processor Architecture Driving HPC/AI Convergence for Next-Generation Exascale Systems
DescriptionNext-generation exascale supercomputers are increasingly requiring converged HPC/AI systems, as evidenced by specifications from government, university, and commercial supercomputing labs for future systems, which require AI performance specifications in addition to the traditional specifications for HPC performance.
HPC and AI workloads are similar, as both compute and memory intensive, as well as being highly parallel. HPC and AI diverge, however, in the level of precision that is often required. The level of data analysis required for HPC applications typically needs double-precision or possibly single-precision. AI, however, frequently requires lower precision, with the reduced precision enabling much higher performance. Another key difference is that AI workloads benefit from sparsity to maximize performance and efficiency, and sparsity is not used by HPC.
This presentation compares HPC and AI workloads, reviews the trends that are driving AI and HPC convergence for supercomputers, and presents Tachyum’s Prodigy Universal Processor and its revolutionary architecture which unifies the functionality of CPU, GPU, and TPU to address the demands of both HPC and AI workloads in a single device without needing costly and power-hungry accelerators. Key features that will be highlighted include Prodigy’s advanced HPC and AI subsystems, the benefits of lower precision and sparse data types for AI applications, and recent innovations, Tachyum has made to enhance and accelerate AI processing, that are unique to Prodigy.
HPC and AI workloads are similar, as both compute and memory intensive, as well as being highly parallel. HPC and AI diverge, however, in the level of precision that is often required. The level of data analysis required for HPC applications typically needs double-precision or possibly single-precision. AI, however, frequently requires lower precision, with the reduced precision enabling much higher performance. Another key difference is that AI workloads benefit from sparsity to maximize performance and efficiency, and sparsity is not used by HPC.
This presentation compares HPC and AI workloads, reviews the trends that are driving AI and HPC convergence for supercomputers, and presents Tachyum’s Prodigy Universal Processor and its revolutionary architecture which unifies the functionality of CPU, GPU, and TPU to address the demands of both HPC and AI workloads in a single device without needing costly and power-hungry accelerators. Key features that will be highlighted include Prodigy’s advanced HPC and AI subsystems, the benefits of lower precision and sparse data types for AI applications, and recent innovations, Tachyum has made to enhance and accelerate AI processing, that are unique to Prodigy.
Event Type
Exhibitor Forum
TimeTuesday, 15 November 20224:30pm - 5pm CST
LocationD171
TP
XO/EX
Recorded
Presenter
