LINDAR FOR NETWORKS OF SHARED MEMORY MUILTPROCESSORS

WE PROPOSE TO DEVELOP AN EXTENSIBLE, COST EFFECTIVE, PARALLEL SUPERCANPUTER BASED ON LOW COST, HIGH PERFORMANCE MUITLPROCESSORS CONNECTED VIA A HLGH-PERFORMANCE LOCAL AREA NETWORK. MOST OF OUR EFFORT WILL FOCUS ON MULTIPROCESSORS WHICH ARE MERCHANT, SHARED MEMORY SYSTEMS, THOUGH THE GENERAL IDEAS WOULD APPLY AS WELL TO NETWORKS OF SIMD MULTIPRORESSOR. IN PARTICULAR WE WILL EMPHASIZE THE DEVELOPMENT OF AN EXTENSION OF SCIENTIFIC-S LINDA PARALLEL PROGRAMMING LANGUAGE TO THIS HIERARCHICAL ENVIRONMENT WITH A SPECIAL EMPHASIS ON COMPILER OPTIMIZING CAPABILITIES.