PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization

Eric Papenhausen; M. Harper Langston; Benoit Meister; Richard Lethin; Klaus Mueller

doi:10.1109/MCG.2018.2877113

PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization

Eric Papenhausen
, M. Harper Langston
, Benoit Meister
, Richard Lethin
, Klaus Mueller

Computer Science

Stony Brook University
Akai Kaeru LLC
Inc.
Electrical Engineering Department

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Performance optimization for parallel loop-oriented programs compromises between parallelism and locality. We present a visualization interface that allows programmers to assist the compiler in generating optimal code. It greatly improves the user's understanding of the transformations that took place and aids in making additional transformations in a visually intuitive way.

Original language	English
Article number	8663646
Pages (from-to)	84-99
Number of pages	16
Journal	IEEE Computer Graphics and Applications
Volume	39
Issue number	1
DOIs	https://doi.org/10.1109/MCG.2018.2877113
State	Published - Jan 1 2019

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10.1109/MCG.2018.2877113

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title = "PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization",

abstract = "Performance optimization for parallel loop-oriented programs compromises between parallelism and locality. We present a visualization interface that allows programmers to assist the compiler in generating optimal code. It greatly improves the user's understanding of the transformations that took place and aids in making additional transformations in a visually intuitive way.",

author = "Eric Papenhausen and Langston, \{M. Harper\} and Benoit Meister and Richard Lethin and Klaus Mueller",

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AU - Mueller, Klaus

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AB - Performance optimization for parallel loop-oriented programs compromises between parallelism and locality. We present a visualization interface that allows programmers to assist the compiler in generating optimal code. It greatly improves the user's understanding of the transformations that took place and aids in making additional transformations in a visually intuitive way.

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PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization

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