As benchmarks exhibit different amounts of task, data, and pipeline parallelism, we exploit all types of parallelism in a unified manner in order to achieve ...
Task parallelism refers to pairs of actors that are on different parallel branches of the original stream graph, as written by the programmer. That is, the ...
Each of the filters in the example are stateless. • Fine-grained Data Parallel. Model: – Fiss each stateless filter N ways (N is number of cores).
Oct 22, 2024 · Stream programming offers an attractive way to ex- pose coarse-grained parallelism, as streaming applications (image, video, DSP, etc.) are ...
“Exploiting coarse-grained task, data, and pipeline parallelism in stream programs” is a paper by Michael I. Gordon William Thies Saman Amarasinghe published in ...
In this paper, we offer a new and pragmatic approach to leveraging coarse-grained pipeline parallelism in C programs.
To exploit pipeline paral- lelism, we equip the programmer with a simple set of an- notations (indicating pipeline boundaries) and a dynamic analysis that ...
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What is the difference between pipeline parallelism and data parallelism?
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Exploiting coarse-grained task, data, and pipeline parallelism in stream programs · Computer Science. ASPLOS XII · 2006.
Oct 22, 2024 · By exploiting data-level parallelism, Graphics Processing Units (GPUs) have become a high-throughput, general purpose computing platform.
First step: change our expectations of correctness. • Second step: use compilers differently. – Option A: Treat them like a programmer.