Abstract
In this paper, we present some qualitative experiments that have been conducted with a sparse compiler. This compiler can automatically transform a program operating on two-dimensional arrays into semantically equivalent code that operates on sparse storage schemes. Automatic exploitation of sparsity to reduce the storage requirements and computational time of the original program substantially reduces the complexity of developing and maintaining the program and provides more opportunities for parallelization. The experiments indicate that, in many cases, a sparse compiler is capable of transforming a dense implementation of an algorithm into efficient sparse code.
Support was provided by the Foundation for Computer Science (SION) of the Dutch Organization for Scientific Research (NWO) and the EC Esprit Agency DG XIII under Grant No. APPARC 6634 BRA III.
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Bik, A.J.C., Wijshoff, H.A.G. (1997). Simple qualitative experiments with a sparse compiler. In: Sehr, D., Banerjee, U., Gelernter, D., Nicolau, A., Padua, D. (eds) Languages and Compilers for Parallel Computing. LCPC 1996. Lecture Notes in Computer Science, vol 1239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0017270
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DOI: https://doi.org/10.1007/BFb0017270
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