SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations

William Pugh, Tatiana Shpeisman. SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations. In Siddhartha Chatterjee, Jan Prins, Larry Carter, Jeanne Ferrante, Zhiyuan Li, David C. Sehr, Pen-Chung Yew, editors, Languages and Compilers for Parallel Computing, 11th International Workshop, LCPC 98, Chapel Hill, NC, USA, August 7-9, 1998, Proceedings. Volume 1656 of Lecture Notes in Computer Science, pages 213-229, Springer, 1998. [doi]

Abstract

Abstract is missing.