Parallaxis: A Flexible Parallel Programming Environment For Ai Applications

Thomas Braunl

doi:10.1117/12.969278

21 March 1989 Parallaxis: A Flexible Parallel Programming Environment For AI Applications

Thomas Braunl

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969278
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

A parallel language has to match or reflect the hardware underneath to use these resources efficiently. Though every parallel language has to have some kind of parallel machine model, no existing language states this explicitly. The Parallaxis parallel programming environment introduces a different approach. The system comprises the specification of the parallel algorithm and the parallel hardware as well. Parallaxis has been designed for single instruction, multiple data (SIMD) system architectures, consisting of identical processing elements (PEs) with local memory. Data exchange is handled by message passing through a local network. In Parallaxis, the hardware structure is specified in the beginning of each program to establish the environment for coding the parallel algorithm. This is necessary for actually arranging this topology using a reconfigurable system, but it is also profitable for performing a simulation, or just stating the used topology. Parallelizable AI applications that demonstrate Parallaxis' usefulness include computer vision, productions systems, neural networks and robot control.

Citation Download Citation

Thomas Braunl "Parallaxis: A Flexible Parallel Programming Environment For AI Applications", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969278

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