| D. C. Dinucci and R. G. Babb II. Development of portable parallel programs with Large-Grain Data Flow 2. In G. Goos and J. Hartmanis, editors, CONPAR 90 --- VAPP IV, volume 457 of Lecture Notes in Computer Science, pages 253--264. Springer-Verlag, 1990. |
....support; while our work can be exploited to create such tools, it is not our primary focus. Kumaran and Quinn [48] focus more on automated conversion of template based applications into efficient programs for different architectures. Dataflow patterns. Other work, e.g. Dinucci and Babb [38], has addressed the question of structuring parallel programs in terms of dataflow; our work differs in that it addresses patterns of both dataflow and computation. 162 Distributed objects. The mesh spectral archetype is based to some extent on the idea of distributed objects, as discussed for ....
D. C. Dinucci and R. G. Babb II. Development of portable parallel programs with Large-Grain Data Flow 2. In G. Goos and J. Hartmanis, editors, CONPAR 90 --- VAPP IV, volume 457 of Lecture Notes in Computer Science, pages 253--264. Springer-Verlag, 1990.
.... the more common linear algebra programs have been developed and then used in designing programs for parallel machines [4] Parallel structures have been investigated by many other researchers [8, 22] Structuring parallel programs by means of examining dataflow patterns has also been investigated [21]. Our contribution is to show that combining consideration of broadlydefined computational patterns with dataflow considerations is useful in the systematic development of efficient parallel programs in a variety of widely used languages, including Fortran and C. 1.1 Archetype based assistance ....
....efficient programs for different architectures. 35 Software reuse. Previous work on software reuse, e.g. Krueger [26] and Volpano and Kieburtz [38] tends to focus on code reuse, while our approach includes reuse of designs as well as code. Dataflow patterns. Other work, e.g. Dinucci and Babb [21], has addressed the question of structuring parallel programs in terms of dataflow; our work differs in that it addresses patterns of both dataflow and computation. One deep divide and conquer algorithms. Several researchers have developed algorithms that fit the one deep divide and conquer ....
D. C. Dinucci and R. G. Babb II. Development of portable parallel programs with Large-Grain Data Flow 2. In G. Goos and J. Hartmanis, editors, CONPAR 90 --- VAPP IV, volume 457 of Lecture Notes in Computer Science, pages 253--264. Springer-Verlag, 1990.
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