High-Performance Statistical Computing in the Computing Environments of the 2020s.

ABSTRACT: Technological advances in the past decade, hardware and software alike, have made access to high-performance computing (HPC) easier than ever. We review these advances from a statistical computing perspective. Cloud computing makes access to supercomputers affordable. Deep learning software libraries make programming statistical algorithms easy and enable users to write code once and run it anywhere-from a laptop to a workstation with multiple graphics processing units (GPUs) or a supercomputer in a cloud. Highlighting how these developments benefit statisticians, we review recent optimization algorithms that are useful for high-dimensional models and can harness the power of HPC. Code snippets are provided to demonstrate the ease of programming. We also provide an easy-to-use distributed

SUBMITTER: Ko S 

PROVIDER: S-EPMC10168006 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature