| Herbordt, M. and C. Weems, "An Environment for Evaluating Architectures for Spatially Mapped Computation: System Architecture and Initial Results," Proc. Computer Architectures for Machine Perception (CAMP `93), New Orleans, LA, December 1993, 191-201. |
....of 20 to 30. This enables us to generate performance data for a much wider range of architectural configurations. The performance data can then be contrasted with cost estimates for the different configurations to produce a specification for parallel vision architectures for different applications [Herbordt and Weems 1993]. Compilation Framework for Heterogeneous Parallel Software We have developed a concept and initial design for a flexible compilation framework that will be able to manage multiple source programming languages, software module implementations, and target machine architectures in order to construct ....
Herbordt, M. and C. Weems, "An Environment for Evaluating Architectures for Spatially Mapped Computation: System Architecture and Initial Results," Proc. Computer Architectures for Machine Perception (CAMP `93), New Orleans, LA, December 1993, 191-201.
.... algorithm used by the CM 2 uses either pointer jumping or segmented grid scan based algorithms [25] while that on the CAAPP uses multi associative leader election via region broadcast [18] We coded these algorithms in ICL and ran them each on both CM 2 and CAAPP machine models using ENPASSANT [16]. In the mismatch cases, networks needed to be emulated (the router network on the one hand and the broadcast network on the other) The slowdown resulting from using the incorrect algorithm on the CM2 model was a factor of 13.5. The slowdown of using the incorrect algorithm on the CAAPP model ....
Herbordt, M. C., and Weems, C. C. An environment for evaluating architectures for spatially mapped computation: System architecture and initial results. In Proc. of CAMP (1993).
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Herbordt, M. C., and Weems, C. C. An environment for evaluating architectures for spatially mapped computation: System architecture and initial results. In Proc. of Computer Architectures for Machine Perception (1993).
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