SCHEDULE: NOV 15-20, 2015

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Massively Parallel Task-Based Programming with HPX

SESSION: Massively Parallel Task-Based Programming with HPX

EVENT TYPE: Tutorials

EVENT TAG(S): Programming Systems, Accelerators

TIME: 8:30AM - 5:00PM

Presenter(s):Hartmut Kaiser, Steven Brandt, Alice Koniges, Thomas Heller, Sameer Shende, Martin Stumpf, Dominic Marcello, Zach Byerly, Alireza Kheirkhahan, Zahra Khatami, Zhaoyi Meng

ROOM:17A

ABSTRACT:

The C++11/14 standard brings significant new parallel programming capability to the language with the introduction of a unified interface for asynchronous programming using futures. This style of programming enables fine-grained constraint-based parallelism, and avoids many load-balancing issues. HPX is a system which builds upon the C++11/14 standard, extending it to distributed operations and increasing its composability. By conforming to the standard, students will learn parallel concepts in a seamless and familiar environment. In this tutorial, students will learn first-hand the capabilities of these revolutionary tools. Firstly, we introduce participants to modern C++11/14 parallel programming, and then we show how to adapt C++ programs to modern massively parallel environments using HPX. Then through presentations, hands-on examples, and tool demonstrations we show how this emerging runtime and language, HPX, allows users to use asynchronous concepts and active messaging techniques to gain performance and productivity in a variety of applications.

Chair/Presenter Details:

Hartmut Kaiser - Louisiana State University

Steven Brandt - Louisiana State University

Alice Koniges - Lawrence Berkeley National Laboratory

Thomas Heller - Frederich-Alexander University

Sameer Shende - University of Oregon

Martin Stumpf - Friedrich-Alexander University Erlangen-Nürnberg

Dominic Marcello - Louisiana State University

Zach Byerly - Louisiana State University

Alireza Kheirkhahan - Louisiana State University

Zahra Khatami - Louisiana State University

Zhaoyi Meng - Lawrence Berkeley National Laboratory

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