sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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From Description to Code Generation: Building High-Performance Tools in Python

SESSION: From Description to Code Generation: Building High-Performance Tools in Python

EVENT TYPE: Tutorials

EVENT TAG(S): Programming Systems, Accelerators

TIME: 8:30AM - 12:00PM

Presenter(s):Andreas Kloeckner, Simon Garcia de Gonzalo

ROOM:17A

ABSTRACT:

High-performance software is stretched between three ‘tent poles’: high-performance, parallel implementation, asymptotically optimal algorithms, and often highly technical application domains. This tension contributes considerably to making HPC software difficult to write and hard to maintain.

Building abstractions and tools to help maintain separation of concerns through domain-specific mini-languages (‘DSLs’), code generators, and tools is a proven, though difficult, way to help manage the complexity. This tutorial presents a set of tools rooted in the Python language that help with all parts of this process: First, with the design and implementation of DSLs, second, with transformation and rewriting of DSLs into various intermediate representations, third, with the transformation of DSL code into high-performance parallel code on GPUs and heterogeneous architectures, and fourth, with the creation and management of a runtime system for such code. The tutorial includes a brief introduction to Python for those unfamiliar, and it is centered around frequent, short, and interactive practice problems.

Chair/Presenter Details:

Andreas Kloeckner - University of Illinois at Urbana-Champaign

Simon Garcia de Gonzalo - University of Illinois

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