The polyhedral benchmark suite

WebbThis benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads … Webb13 aug. 2024 · We evaluated our approach with 38 benchmarks from two benchmark suites and obtained a median reduction of the profiling time by 62% across all the benchmarks. Download conference paper PDF ... and Polybench 3.2 , a test suite originally designed for polyhedral compilers. We compiled the benchmarks using clang 3.6.8, ...

PolyBench/Python: benchmarking Python environments with …

Webb21 sep. 2016 · The benchmark suite is based on our Java port of PolyBench, a Polyhedral Benchmark suite. We selected PolyBench instead of other existing benchmarks, like … WebbWhile these results are promising, the evaluation conducted in this paper is severely limited. It relies exclusively on the PolyBenchC benchmark suite . This suite, meant to measure the effect of polyhedral loop optimizations, consists of a number of small scientific computing kernels like matrix multiplication. how is anna duggar supporting her family https://harrymichael.com

GitHub - quepas/Compiler-benchmark-suites: A list of

WebbJune 2, 2024 at 1:00 PM - 2:00 PM UTC. Lightweight Array Contraction by Trace-Based Polyhedral Analysis. Hugo Thievenaz, Keiji Kimura and Christophe Alias. Array contraction is a compilation optimization used to reduce the memory consumption, by reducing the size of temporary arrays in a program while preserving its correctness. http://pollylabs.org/gsoc2024/Collect-Polyhedral-Benchmarks.html Webb12 feb. 2024 · For a set of typical application benchmarks our results have shown that EASY can achieve 0.13x of area and 1.64x of performance ... The polyhedral benchmark suite. Jan 2012; L.-N Pouchet; how is anne frank hopeful

GitHub - quepas/Compiler-benchmark-suites: A list of

Category:Tile size selection of affine programs for GPGPUs using …

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The polyhedral benchmark suite

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http://cavazos-lab.github.io/PolyBench-ACC/ Webb4 juni 2024 · We evaluate the effectiveness of our technique using the Polybench benchmark suite on two GPGPUs, an AMD Radeon VII and an NVIDIA Tesla V100, using …

The polyhedral benchmark suite

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WebbThis work presents PolyBench/Python, implementing the 30 kernels in PolyBench/C, one of the standard benchmark suites for polyhedral optimization, in Python. In addition to the … Webb17 maj 2024 · PolyBench-C is a C-language polyhedral benchmark suite made at the Ohio State University. To run this test with the Phoronix Test Suite, the basic command is: …

Webb28 maj 2015 · Abstract: The polyhedral model provides a powerful mathematical abstraction to enable effective optimization of loop nests with respect to a given … Webb31 aug. 2024 · Polybench Benchmark codes found in the Polybench benchmark suite. These benchmarks are specifically crafted to benefit from a polyhedral optimization. In the context of PolyJIT, they are especially useful for tests of changes to tuning parameters of the polyhedral optimizer Polly. SPEC Benchmark codes found in the SPEC CPU2006 …

WebbThe paper presents a benchmark suite of ten non-serial polyadic dynamic programming (NPDP) kernels, which are designed to test the efficiency of tiled code generated by … Webb4 okt. 2013 · We validate this proposal on the polyhedral benchmark suite, showing that the predictions are accurate and that the runtime selection is effective on two different architectures. Published in: 2013 42nd International Conference on Parallel Processing Article #: Date of Conference: 1-4 Oct. 2013 Date Added to IEEE Xplore: 19 December 2013

Webb28 apr. 2024 · The polyhedral model allows a structured way of defining semantics-preserving transformations to improve the performance of a large class of loops. Finding …

Webb17 maj 2024 · PolyBench-C is a C-language polyhedral benchmark suite made at the Ohio State University. To run this test with the Phoronix Test Suite, the basic command is: … high interleukinWebbOn a newly-developed comprehensive benchmark suite for Presburger arithmetic, we show a 5.4x speedup in total runtime over the state-of-the-art library isl in its default … how is anne frank influentialWebbThough the polyhedral compilation model was designed for analysis and optimization of sequential programs, ... Polybench-ACC OpenMP Benchmarks Suite Chatarasi,Prasanth (RiceUniversity) MastersThesisDefense April24th,2024 23. Experiments - OmpSCR Benchmark suite Evaluation on 12 benchmarks high intermediate low risk peWebb9 juli 2024 · We have evaluated the proposed profiling method over fifteen kernels from the polyhedral benchmark suite (PolyBench/C 3.2) and eleven programs from SPEC CPU 2006 benchmark suite to asses both the accuracy of the profiled dependencies and performance. We have conducted experiments on a machine with Intel Core I7, ... how is anne frank inspiringWebbAbstract A novel approach to generation of tiled code for arbitrarily nested loops is presented. It is derived via a combination of the polyhedral and iteration space slicing frameworks. Instead of program transformations represented by a set of affine functions, one for each statement, it uses the transitive closure of a loop nest dependence graph to … high interleukin 6WebbThe results obtained from the evaluation of the proposed methodology with the polyhedral benchmarks show that, as expected, the extended version of Apollo outperforms by far the original one for applications simulating a dataflow-based behavior, providing particularly good results for small problem sizes. high interleukin-6Webb24 jan. 2024 · In summary, our contributions include the following: (1) An extension of the polyhedral model to represent SPMD programs, (2) Formalization of the May Happen in Parallel (MHP) relation in the extended model, (3) An approach for static detection of data races in SPMD programs, and (4) Demonstration of our approach on 34 OpenMP … high intermediate hemodynamic response