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MICRO
2010
IEEE

Scalable Speculative Parallelization on Commodity Clusters

10 years 11 months ago
Scalable Speculative Parallelization on Commodity Clusters
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In particular, high inter-node communication cost and lack of globally shared memory appear to make clusters suitable only for server applications with abundant task-level parallelism and scientific applications with regular and independent units of work. Clever use of pipeline parallelism (DSWP), thread-level speculation (TLS), and speculative pipeline parallelism (Spec-DSWP) can mitigate the costs of inter-thread communication on shared memory multicore machines. This paper presents Distributed Software Multi-threaded Transactional memory (DSMTX), a runtime system which makes these techniques applicable to non-shared memory clusters, allowing them to efficiently address inter-node communication costs. Initial results suggest that DSMTX enables efficient cluster execution of a wider set of application types. F...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi
Added 14 Feb 2011
Updated 25 Apr 2012
Type Journal
Year 2010
Where MICRO
Authors Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, David I. August
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