Exploring emerging technologies for extreme scale HPC architectures
Estadístiques de LA Referencia / Recolecta
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Cita com:
hdl:2117/96558
Tipus de documentText en actes de congrés
Data publicació2016-09-10
EditorBarcelona Supercomputing Center
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
While architectures and programming models have remained relatively stable for almost two decades, new architectural features, such as heterogeneous processing, nonvolatile memory, and optical interconnection networks, will demand that software systems and applications be redesigned so that they expose massive amounts of hierarchical parallelism, carefully orchestrate data movement, and balance concerns over performance, power, and resiliency. This instability has led to two inevitable problems: decreased programmer productivity, and difficult performance prediction. In this talk, I will describe two solutions to these problems, respectively: our OpenARC compiler and runtime system, and our Aspen performance modeling language. First, OpenARC is a research compiler that supports OpenACC and OpenMP4, and can generate code in CUDA, OpenCL, and LLVM IR. OpenARC has enabled us to explore how to enable performance portability of applications across diverse architectures. Second, Aspen is a domain specific language for structured analytical modeling of applications and architectures. It is designed to enable rapid exploration of new algorithm and architectures. Once created, Aspen models can then be used for a variety of purposes including predicting performance of future applications, evaluating system architectures, informing runtime scheduling decisions, and identifying system anomalies.
CitacióVetter, Jeffery S. Exploring emerging technologies for extreme scale HPC architectures. A: 2nd Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2015-2016. "Book of abstracts". Barcelona: Barcelona Supercomputing Center, 2016, p. 10-11.
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