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The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-Based Systems
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan. (PELAB - Programming Environment Laboratory)
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan. (PELAB - Programming Environment Laboratory)
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan. (PELAB - Programming Environment Laboratory)ORCID-id: 0000-0001-5241-0026
2012 (Engelska)Ingår i: High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion, IEEE, 2012, s. 711-720Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The PEPPHER component model defines an environment for annotation of native C/C++ based components for homogeneous and heterogeneous multicore and manycore systems, including GPU and multi-GPU based systems. For the same computational functionality, captured as a component, different sequential and explicitly parallel implementation variants using various types of execution units might be provided, together with metadata such as explicitly exposed tunable parameters. The goal is to compose an application from its components and variants such that, depending on the run-time context, the most suitable implementation variant will be chosen automatically for each invocation. We describe and evaluate the PEPPHER composition tool, which explores the application's components and their implementation variants, generates the necessary low-level code that interacts with the runtime system, and coordinates the native compilation and linking of the various code units to compose the overall application code. With several applications, we demonstrate how the composition tool provides a high-level programming front-end while effectively utilizing the task-based PEPPHER runtime system (StarPU) underneath.

Ort, förlag, år, upplaga, sidor
IEEE, 2012. s. 711-720
Nyckelord [en]
PEPPHER project; component model; GPU-based systems; performance portability;
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:liu:diva-91559DOI: 10.1109/SC.Companion.2012.97ISBN: 978-1-4673-6218-4 (tryckt)OAI: oai:DiVA.org:liu-91559DiVA, id: diva2:618264
Konferens
5th International Workshop on Multi-Core Computing Systems (MuCoCoS) in conjunction with Supercomputing Conference (SC 2012), 10-16 November 2012, Salt Lake City, UT, USA
Projekt
PEPPHER EU FP7 project
Forskningsfinansiär
EU, FP7, Sjunde ramprogrammet, 248481Tillgänglig från: 2013-04-26 Skapad: 2013-04-26 Senast uppdaterad: 2018-01-11

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Dastgeer, UsmanLi, LuKessler, Christoph
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Programvara och systemTekniska högskolan
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