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The Twenty Sixth International Heterogeneity in Computing Workshop (HCW) and to the Fifteenth InternationalWorkshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar)

机译:第二十六届国际计算异构研讨会(HCW)和第十五届国际异构平台上的并行计算算法,模型和工具国际研讨会(HeteroPar)

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摘要

Heterogeneity is emerging as one of themost profound and challenging characteristics of today's parallel environments.Asmostmodern computingsystems are heterogeneous, from themacro level, where networks of distributed computers, composed of diverse node architectures, are interconnectedwith potentially heterogeneous networks, to the micro level, where deeper memory hierarchies and various accelerator architectures areincreasingly common, the impact of heterogeneity on all computing tasks is increasing rapidly.Traditional parallel algorithms, programming environments, and tools, designed for legacy homogeneous multiprocessors, will at best achieve asmall fraction of the efficiency and the potential performance that we should expect from parallel computing in tomorrow's highly diversified andmixed environments. New ideas, innovative algorithms, and specialized programming environments and tools are needed to efficiently use thesenew and multifarious parallel architectures.
机译:异构性正在成为当今并行环境中最深刻和最具挑战性的特征之一。从宏观层面来看,现代计算机系统是异构的,从宏观上讲,由不同节点体系结构组成的分布式计算机网络与潜在的异构网络互连 r n到更深层次的内存层次结构和各种加速器架构越来越普遍的微观水平,异构性对所有计算任务的影响正在迅速增加。 r n专为传统同类产品设计的传统并行算法,编程环境和工具在未来的高度多样化和混合的环境中,多处理器最多只能达到并行计算所期望的效率和潜在性能的一小部分。需要新的想法,创新的算法以及专门的编程环境和工具来有效地使用这些 r n新的,多种多样的并行体系结构。

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