pSTL-Bench: A Micro-Benchmark Suite for Assessing Scalability of C++ Parallel STL Implementations

Autor:	Laso, Ruben, Krupitza, Diego, Hunold, Sascha
Rok vydání:	2024
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Computer Science - Performance Computer Science - Programming Languages
Druh dokumentu:	Working Paper
Popis:	Since the advent of parallel algorithms in the C++17 Standard Template Library (STL), the STL has become a viable framework for creating performance-portable applications. Given multiple existing implementations of the parallel algorithms, a systematic, quantitative performance comparison is essential for choosing the appropriate implementation for a particular hardware configuration. In this work, we introduce a specialized set of micro-benchmarks to assess the scalability of the parallel algorithms in the STL. By selecting different backends, our micro-benchmarks can be used on multi-core systems and GPUs. Using the suite, in a case study on AMD and Intel CPUs and NVIDIA GPUs, we were able to identify substantial performance disparities among different implementations, including GCC+TBB, GCC+HPX, Intel's compiler with TBB, or NVIDIA's compiler with OpenMP and CUDA. Comment: 15 pages, 24 figures, 4 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.06384 Zobrazit plný text záznamu View this record from Arxiv