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The SPNT test: A new technology for run-time speculative parallelization of loops

Authors: Tsung-Chuan Huang; Po-Hsueh Hsu;

The SPNT test: A new technology for run-time speculative parallelization of loops

Abstract

The only way for parallelizing compilers to exploit potential parallelism of loops in which dependence information is inadequate statically is using run-time loop parallelization technique. There are two approaches in this field: the inspector-executor method [17] and the speculative DOALL test [13]. For the former approach, there always incurs heavy preprocessing overhead during inspector phase and synchronization barrier burden as well as load imbalance impact in executor phase. In this paper, a new proposal for a highly practicable speculative parallelization test, the SPNT test (Speculative Parallelization with New Technology), is presented. Speculative parallel execution as DOALL actually obtains the biggest speedup if the loop is in fact a DOALL loop. Otherwise, it will suffer rather extent penalty. The objective of SPNT test is twofold. The first is to increase the success rate by ignoring avoidable dependence restrictions. The second is to reduce the failure penalty by detecting the unavoidable data dependences and giving up the speculative parallel execution as soon as possible. As the result, the SPNT test can greatly improve the practicability of the speculative parallel execution.

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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!
4
Average
Top 10%
Average
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