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Titlebook: Languages and Compilers for Parallel Computing; 5th International Wo Utpal Banerjee,David Gelernter,David Padua Conference proceedings 1993

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樓主: Deleterious
51#
發(fā)表于 2025-3-30 11:35:51 | 只看該作者
52#
發(fā)表于 2025-3-30 15:30:33 | 只看該作者
Computing per-process summary side-effect information, coarse-grained parallel programs. The algorithm constructs control flow graphs for families of processes by recognizing predicates used in control statements whose values are invariant relative to any one process, but vary across processes. It is used in conjunction with interprocedural flow-insens
53#
發(fā)表于 2025-3-30 19:47:37 | 只看該作者
54#
發(fā)表于 2025-3-30 21:19:51 | 只看該作者
Determining transformation sequences for loop parallelization,dependences. In many loops, more than one such transformation is required, and hence the choice of transformations and the order in which they are applied is critical..In this paper, we present an algorithm for selecting a sequence of transformations which, applied to a given loop, will yield an equ
55#
發(fā)表于 2025-3-31 01:09:11 | 只看該作者
Compiler optimizations for massively parallel machines: Transformations on iterative spatial loops,d in the body of the loop nests are assumed to be partitioned into blocks (rectangular, rows, or columns) where each block is assigned to a processor..These optimizations are demonstrated in the context of a FORTRAN-90 compiler with very encouraging preliminary results. In the case of solving tridia
56#
發(fā)表于 2025-3-31 07:23:59 | 只看該作者
57#
發(fā)表于 2025-3-31 11:56:13 | 只看該作者
On the synthesis of parallel programs from tensor product formulas for block recursive algorithms,rix multiplication algorithm. A block recursive algorithm is expressed as a tensor product formula which consists of matrix sums, matrix products, direct sums, tensor products, componentwise matrix operations, and stride permutations. These mathematical operations can be mapped to high-level program
58#
發(fā)表于 2025-3-31 13:36:17 | 只看該作者
59#
發(fā)表于 2025-3-31 19:16:45 | 只看該作者
60#
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