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HPCS 2011 tutorials: Tutorial I: Distributed software transactional memories: Foundations, algorithms and tools

Authors: Maria Couceiro; Paolo Romano; Luis Rodrigues;

HPCS 2011 tutorials: Tutorial I: Distributed software transactional memories: Foundations, algorithms and tools

Abstract

Parallel programming (PP) used to be an area once confined to scientific and high-performance computing applications. However, with the proliferation of multicore processors, parallel programming has definitely become a mainstream concern. Transactional Memories (TMs) answer the need to find a better programming model for PP, capable of boosting developers' productivity and allowing ordinary programmers to unleash the power of parallel and distributed architectures avoiding the pitfalls of manual, lock based synchronization.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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