Distributed And Parallel Systems Cluster And Gridputing by Zoltan Juhasz, Peter Kacsuk, Dieter Kranzlmuller
By Zoltan Juhasz, Peter Kacsuk, Dieter Kranzlmuller
DAPSY (Austrian-Hungarian Workshop on allotted and Parallel platforms) is a global convention sequence with biannual occasions devoted to all features of disbursed and parallel computing. DAPSY begun less than a unique identify in 1992 (Sopron, Hungary) as nearby assembly of Austrian and Hungarian researchers targeting transputer-related parallel computing; a scorching examine subject of that point. A moment workshop in 1994 (Budapest, Hungary). As transputers turned historical past, the scope of the workshop widened to incorporate parallel and dispensed platforms commonly and the first DAPSYS in 1996 (Miskolc, Hungary) mirrored the result of those changes.
Distributed and Parallel structures: Cluster and Grid Computingis an edited quantity according to DAPSYS, 2004, the fifth Austrian-Hungarian Workshop on allotted and Parallel platforms. The workshop used to be held along side EuroPVM/MPI-2004, Budapest, Hungary September 19-22, 2004.
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For this comparison it was assumed that each processor offers the same amount of computational power. A plus sign denotes a performance gain, a minus a loss. The appearance of a double plus or minus indicates a significant gain or loss. For a plus minus combination no major performance impact compared to the single processor and sequential algorithm pair is expected. 34 DISTRIBUTED AND PARALLEL SYSTEMS The main criteria for the algorithm and resource selection process in addition to the type of hardware and the programming paradigm used are given by the available number and speed of processors, size of memory, and the bandwidth between the involved hosts.
MPI comprises a library of routines for explicit message passing and has been designed for high performance computing. It is the classical choice when the main focus is on achieving high performance, especially for massively parallel computing. However, developing efficient MPI codes requires high implementation effort, and the costs for debugging, adapting and maintaining them can be relatively high. The Virtual Shared Memory Model (also known as distributed shared memory model, partitioned global address space model, or space based model) is a higher-level abstraction which hides explicit message passing commands from the programmer.
In Section 2, we summarize the most important properties of the VSM and SOB models and of their representatives, UPC and CORSO. In Section 3, we discuss our choice of benchmarks. In Section 4, we describe our testbed environment and summarize our experimental results. Section 5 contains conclusions and outlines directions for future work. 2. The Virtual Shared Memory Paradigm In this section, we give a brief introduction into UPC and CORSO, the two representatives of the VSM model investigated in this paper.