DocumentCode :
1915039
Title :
The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-Based Systems
Author :
Dastgeer, Usman ; Lu Li ; Kessler, Christoph
Author_Institution :
Dept. of Comput. & Inf. Sci., Linkoping Univ., Linkoping, Sweden
fYear :
2012
fDate :
10-16 Nov. 2012
Firstpage :
711
Lastpage :
720
Abstract :
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.
Keywords :
graphics processing units; multiprocessing systems; object-oriented methods; parallel processing; C-C++ based component; GPU-based system; PEPPHER composition tool; computational functionality; execution unit; graphics processing unit; high-level programming front-end; manycore system; meta data; multiGPU based system; multicore system; parallel implementation variant; performance-aware dynamic composition; run-time context; sequential implementation variant; task-based PEPPHER runtime system; PEPPHER project; component model; GPU-based systems; performance portability;;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-6218-4
Type :
conf
DOI :
10.1109/SC.Companion.2012.97
Filename :
6495879
Link To Document :
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