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Title | The Template Task Graph (TTG) - An Emerging Practical Dataflow Programming Paradigm for Scientific Simulation at Extreme Scale |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Bosilca, G., R. Harrison, T. Herault, M. Mahdi Javanmard, P. Nookala, and E. Valeev |
Conference Name | 2020 IEEE/ACM 5th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2) |
Date Published | 2020-11 |
Publisher | IEEE |
Keywords | dag, dataflow, exascale, graph, High-performance computing, workflow |
Abstract | We describe TESSE, an emerging general-purpose, open-source software ecosystem that attacks the twin challenges of programmer productivity and portable performance for advanced scientific applications on modern high-performance computers. TESSE builds upon and extends the ParsecDAG/-dataflow runtime with a new Domain Specific Languages (DSL) and new integration capabilities. Motivating this work is our belief that such a dataflow model, perhaps with applications composed in domain specific languages, can overcome many of the challenges faced by a wide variety of irregular applications that are poorly served by current programming and execution models. Two such applications from many-body physics and applied mathematics are briefly explored. This paper focuses upon the Template Task Graph (TTG), which is TESSE's main C++ Api that provides a powerful work/data-flow programming model. Algorithms on spatial trees, block-sparse tensors, and wave fronts are used to illustrate the API and associated concepts, as well as to compare with related approaches. |
DOI | 10.1109/ESPM251964.2020.00011 |