By Richard P. Brent (auth.), Jack Dongarra, Kaj Madsen, Jerzy Waśniewski (eds.)
Introduction The PARA workshops long ago have been dedicated to parallel computing equipment in technological know-how and know-how. there were seven PARA conferences to this point: PARA’94, PARA’95 and PARA’96 in Lyngby, Denmark, PARA’98 in Umea, ? Sweden, PARA 2000 in Bergen, N- approach, PARA 2002 in Espoo, Finland, and PARA 2004 back in Lyngby, Denmark. The ?rst six conferences featured lectures in glossy numerical algorithms, computing device technological know-how, en- neering, and business functions, all within the context of scienti?c parallel computing. This assembly within the sequence, the PARA 2004 Workshop with the identify “State of the paintings in Scienti?c Computing”, was once held in Lyngby, Denmark, June 20–23, 2004. The PARA 2004 Workshop used to be prepared by means of Jack Dongarra from the college of Tennessee and Oak Ridge nationwide Laboratory, and Kaj Madsen and Jerzy was once ´niewski from the Technical collage of Denmark. The emphasis the following used to be shifted to high-performance computing (HPC). the continued improvement of ever extra complex pcs presents the opportunity of fixing more and more dif?cult computational difficulties. although, given the complexity of contemporary desktop architectures, the duty of understanding this power wishes cautious awareness. for instance, the failure to take advantage of a computer’s reminiscence hello- archy can degrade functionality badly. a chief quandary of HPC is the improvement of software program that optimizes the functionality of a given computing device. The excessive fee of state of the art pcs might be prohibitive for plenty of offices, in particular if there's purely an occasional want for HPC.
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Extra resources for Applied Parallel Computing. State of the Art in Scientific Computing: 7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004. Revised Selected Papers
Another key design principle is to change the data format of the submatrix operands so that each call to the L1 kernel can operate at or near the peak MFlops ( Million FLoating point OPerations per Second ) rate. This format change and subsequent change back to standard data format is a cause of a performance inefficiency in DGEMM. The DGEMM J. Dongarra, K. Madsen, and J. ): PARA 2004, LNCS 3732, pp. 11–20, 2006. c Springer-Verlag Berlin Heidelberg 2006 12 Fred G. Gustavson interface definition requires that its matrix operands be stored as standard Fortran or C two-dimensional arrays.
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