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June 18, 2011
June 18 -- One of the exciting innovations presented at the ISC’10 conference in Hamburg was GPI, a new interface for application development for multicore architectures, developed by the Competence Center for HPC at the Fraunhofer ITWM. GPI stands for Global Address Space Programming Interface, it implements the PGAS (Partitioned Global Address Space) programming model on the API level, so that standard programming languages can exploit the advantages of PGAS.
The next innovative step will be presented at the 26th ISC 2011 conference in Hamburg, where the GPI developers will show a first demo ( Fraunhofer booth 211) of zero copy asynchronous communication between GPUs sitting in different compute nodes. Avoiding double data copies and data buffering, which is necessary with current MPI implementations, will significantly speed up GPU parallel applications and will make new classes of applications suitable for GPU clusters.
In a few recently published results GPI has demonstrated exciting scalability for the DLR aerospace code TAU, QCD codes and within a new implementation of the graph processing benchmark UTS. GPI is used in the oil&gas industry to speed up critical applications in exploration.
GPI is available as licensed product for C, C++ and Fortran under Linux through Fraunhofer’s marketing partner scapos (see www.scapos.com). Free test licenses are available to all developers who look for an alternative to MPI and who want to evaluate the potential of the PGAS programming model. Contact email@example.com.
About Fraunhofer Competence Center for HPC
The Fraunhofer Competence Center for HPC at the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern (http://www.itwm.fhg.de/en/hpc/hpc/) offers innovative HPC solutions for the industry and the HPC market. Their R&D is focused on HPC tools, service oriented computing, and server based visualization.
A spin-off company and marketing partner of Fraunhofer, scapos (www.scapos.com) distributes innovative software products in the technical computing and HPC market.
Source: Fraunhofer ITWM
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