WebbThe 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. 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 …
Evaluation of Autoparallelization Toolkits for Commodity GPUs
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, ... WebbThe Polyhedral Benchmark Suite Targeting Multicore CPUs, GPUs, and Accelerators PolyBench is a collection of benchmarks containing static control parts. The purpose is … iron used in construction
NPDP benchmark suite for the evaluation of the effectiveness of ...
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 … 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, ... WebbTo ensure the acyclicity of the partition at all times, we propose novel and efficient coarsening and refinement heuristics. The quality of the computed acyclic partitions is assessed by computing the edge cut. We also propose effective ways to use the standard undirected graph partitioning methods in our multilevel scheme. port stephens flood mapping