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Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and Optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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On the optimality of Allen and Kennedy's algorithm for parallelism extraction in nested loops
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Data Dependence Profiling for Speculative Optimizations
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Loop-level parallelism in numeric and symbolic programs
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TEST: a Tracer for Extracting Speculative Threads
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Alchemist: A Transparent Dependence Distance Profiling Infrastructure
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Efficient memory tracing by program skeletonization
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A cost-driven compilation framework for speculative parallelization of sequential programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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