Efficient Representation Scheme for Multidimensional Array Operations
IEEE Transactions on Computers
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Computers
The Journal of Supercomputing
Data distribution schemes of sparse arrays on distributed memory multicomputers
The Journal of Supercomputing
XARK: An extensible framework for automatic recognition of computational kernels
ACM Transactions on Programming Languages and Systems (TOPLAS)
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Automatic program comprehension is particularly useful when applied to sparse matrix codes, since it allows to abstract e.g. from specific sparse matrix storage formats used in the code. In this paper we describe SPARAMAT, a system for speculative automatic program comprehension suitable for sparse matrix codes, and its implementation.