IMPROVED VISUALIZATION SYSTEM FOR MASSIVELY PARALLEL COMPUTERS

THIS PHASE I RESEARCH EFFORT SEEKS TO INVESTIGATE THE EFFICACY OF SYSTOLIC COMPRESSION/EXPANSION (SEC) LOAD BALANCING FOR SCALABLE CONCURRENT VISUALIZATION SYSTEMS (SCVS). THE APPROACH USED HERE IS BASED ON A NEWTONIAN DERIVATION FOR THE EQUATION OF MOTION DESCRIBING THE MESSAGE-PASSING FLOW BETWEEN NEIGHBORING MULTICOMPUTER COMPUTATION ELEMENTS. AN ASSESSMENT OF GRAPHICAL PRIMITIVE QUANTUM SIZE REPRESENTATION FOR GEOMETRY, SILICON PROCESS TECHNOLOGY, AND MESSAGE-PASSING RATES WILL LEAD TO A EFFECTIVE METRIC FOR PREDICTING THE INSTANTANEOUS LOAD-BALANCE, AND SYSTOLICALLY MANAGING THE UPDATE OF THE SCVS DISPLAY SUBSYSTEM. THE SCVS WILL BE SIMULATED VIA A PHYSICAL CONCURRENCY EMULATION OF THE LOGICALLY CONCURRENT PROCESS STRUCTURE REQUIRED TO IMPLEMENT A MESSAGE-PASSING SYSTEM FOR RENDERING GRAPHICAL DATASETS IN A SHARED-MEMORY. THIS SIMULATION WILL SERVE AS THE FOUNDATION FOR LOAD BALANCE MONITORING STUDIES BASED ON A PARAMETRIC TEST MATRIXOF INPUT CONDITIONS, SUCH AS USER TRANSFORMATION RATE, AND GEOMETRIC QUANTA SIZE REPRESENTATION.