TIDeFlow: A Parallel Execution Model for High Performance Computing Programs

Daniel A. Orozco
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引用次数: 7

Abstract

The popularity of serial execution paradigms in the High Performance Computing (HPC) field greatly hinders the ability of computational scientists to develop and support massively parallel programs. Programmers are left with languages that are inadequate to express parallel constructs, being forced to take decisions that are not directly related to the programs they write. Computer architects are forced to support sequential memory semantics only because serial languages require them and operating system designers are forced to support slow synchronization operations. This poster addresses the development and execution of HPC programs in many-core architectures by introducing the Time Iterated Dependency Flow (Tide Flow) execution model.
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TIDeFlow:高性能计算程序的并行执行模型
串行执行范式在高性能计算(HPC)领域的流行极大地阻碍了计算科学家开发和支持大规模并行程序的能力。程序员只能使用不足以表达并行结构的语言,被迫做出与他们编写的程序没有直接关系的决定。计算机架构师被迫支持顺序内存语义,只是因为串行语言需要它们,而操作系统设计人员被迫支持缓慢的同步操作。这张海报通过引入时间迭代依赖流(Tide Flow)执行模型,解决了在多核架构中开发和执行HPC程序的问题。
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