Earlier-stage evaluations of a new AI architecture/system need affordable AI benchmarks. Only using a few AI component benchmarks like MLPerf alone in the other stages may lead …
Y Liang, Y Guo, Y Gong, C Luo, J Zhan… - Intelligent Computing and …, 2021 - Springer
Federated learning is a new machine learning paradigm. The goal is to build a machine learning model from the data sets distributed on multiple devices–so-called an isolated data …
Recent years witness a trend of applying large-scale distributed deep learning algorithms (HPC AI) in both business and scientific computing areas, whose goal is to speed up the …
Recent years witness a trend of applying large-scale distributed deep learning algorithms (HPC AI) in both business and scientific computing areas, whose goal is to speed up the …
FP Pont, P Megias, D Garcia-Gasulla… - Supercomputing …, 2021 - superfri.org
One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on …
Traditional compute-centric scientific discovery has led to a growing gap between computation power and storage capabilities. However, in the data explosion era, where data …