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IU's Big Red II system tests SPEC ACCEL V1.1

Project Leads: Robert Henschel, Huian Li

Research enabled by:  UITS Research Technologies' High Performance Systems (HPS) and Scientific Applications and Performance Tuning (SciAPT), IU's Big Red II supercomputer

SPEC ACCEL V1.1
Figure 1. SPEC ACCEL ACC benchmark results submitted by Indiana University.
On September 30th, 2015, the SPEC HPG group released version 1.1 of the SPEC ACCEL V1.1 benchmark. This benchmark tests performance with a suite of computationally intensive parallel applications running under the OpenCL and OpenACC APIs. Version 1.1 contains 19 OpenCL applications and 15 OpenACC applications.

Indiana University, a member of the SPEC HPG group, collaborated with other group members to test this update. The update includes portability changes for Mac OS, improved documentation, updated tools, PTDaemon 1.7.1, multiple bug fixes in four OpenCL applications (116.histo, 123.nw, 124.hotspot, and 140.bplustree) and two OpenACC applications (351.palm and 356.sp). Indiana University's Big Red II is one of primary testing platforms for version 1.1. The IUMD code developed by Indiana University is a part of the OpenACC suite (renamed as 350.md).

Since the initial release of version 1.0 in March 2014 vendors and research institutions have submitted benchmark results. For OpenCL, there have been 22 submissions from 3 universities and 3 corporations across 10 different systems and 13 different accelerators; for OpenACC, there have been 25 submissions from 3 universities and 2 corporations across 8 different systems and 8 different accelerators. Indiana University submitted 3 OpenCL results and 6 OpenACC results based on our Big Red II system.

The High Performance Systems (HPS) group implements, operates, and supports some of the fastest supercomputers in the world, IU's Big Red II, the Quarry cluster, Karst, and the large memory Mason system, in order to advance Indiana University's mission in research, training, and engagement in the state. HPS also supports databases and database engines used by the IU community.

The mission of the Scientific Applications and Performance Tuning (SciAPT) group is to deliver and support software tools that promote effective and efficient use of IU's advanced cyberinfrastructure which, in turn, improves research and enables discoveries.


For information about the Pervasive Technology Institute, the Research Technologies Division of UITS, and IU’s advanced cyberinfrastructure see http://pti.iu.edu.