The polyhedral benchmark suite
Webb@article{WłodzimierzBielecki2016, abstract = {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 … 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 …
The polyhedral benchmark suite
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Webb9 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, ... Webb28 maj 2015 · Abstract: The polyhedral model provides a powerful mathematical abstraction to enable effective optimization of loop nests with respect to a given …
WebbPolyBench DSL: Polyhedral benchmark suite for software-defined heterogeneous comput-ing ... Impact: PolyBench DSL is a re-implementation of PolyBench C benchmark suite in Hete-roCL DSL. We have developed PolyBench DSL in collaboration with Intel ISRA as the testbed for the PolyCL. In each of the benchmarks, ... 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: … WebbPolyBench is a collection of benchmarks containing static control parts. The purpose is to uniformize the execution and monitoring of kernels, typically used in past and current …
WebbThis benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads …
WebbIMPACT 2024 announced IMPACT 2024 announced Polyhedral optimization of neural networks Polly Labs participates at Google Summer of Code IMPACT 2024 - Program … fish taco bowls whole forkWebb4 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 … fish taco batter recipe with beerWebbThis benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads … fish taco bowls recipeWebbResults show that the method reduces execution time overhead by 1.4 for polyhedral and 10.7 for SPEC2006 on average; and significantly reduces memory by 109780 and 6981 for polyhedral and SPEC2006 ... fish taco breading recipeWebb13 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, ... can doing yoga sculpt help you build muscleWebb28 rader · PolyBench — The Polyhedral Benchmark Suite; SPLASH — Stanford Parallel Applications for Shared-Memory; TSVC — Test Suite for Vectorizing Compilers; … fish taco cabin john mdWebbAbstract 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 … fish taco aioli sauce recipe