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Citation:

A. Buss, Harshvardhan, I. Papadopoulos, O. Pearce, T.G. Smith, G. Tanase, N.L. Thomas, X. Xu, M. Bianco, N. M. Amato and L. Rauchwerger, "STAPL: Standard Template Adaptive Parallel Library," The 3rd Annual Haifa Experimental Systems Conference (SYSTOR) Proceedings, Haifa, Israel, May 24-26, 2010, pp. 1-10.

Abstract:

The Standard Template Adaptive Parallel Library (stapl) is a high-productivity parallel programming framework that extends C++ and stl with unified support for shared and distributed memory parallelism. stapl provides distributed data structures (pContainers) and parallel algorithms (pAlgorithm s) and a generic methodology for extending them to provide customized functionality. The stapl runtime system provides the abstraction for communication and program execution. In this paper, we describe the major components of stapl and present performance results for both algorithms and data structures showing scalability up to tens of thousands of processors. Copyright 2010 ACM.

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Associated Project(s):

  • SHIELD (Smuggled HEU Interdiction through Enhanced anaLysis and Detection): A Framework for Developing Novel Detection Systems Focused on Interdicting Shielded HEU

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