Year: 2018
Type: article
Abstract: Many important applications fall into the broad class of iterative convergent algorithms. Parallel implementations of these algorithms are naturally expressed using the Bulk Synchronous Parallel (BSP) model of computation. However, implementations using BSP are plagued by the straggler problem, where every transient slowdown of any given thread can delay all other threads. This paper presents the Stale Synchronous Parallel (SSP) model as a generalization of BSP that preserves many of its advantages, while avoiding the straggler problem. Algorithms using SSP can execute efficiently, even with significant delays in some threads, addressing the oft-faced straggler problem.
Source: Figshare
DOI: 10.1184/r1/6476339
Institutions: Carnegie Mellon University, Hewlett-Packard (United States)
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1652793671
