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Abstract
MODERN INSTRUCTION-LEVEL PARALLEL(ILP)PROCESSORS USE SUPERSCALAR ARCHITECTURES WITH DEEP PIPELINES IN order TO EXECUTE MULTIPLE INSTRUCTIONS PER CYCLE.THE OBJECTIVE OF THIS RESEARCH FURTHER THE STATE OF THE ART OF ILP PROCESSOR ARCHITECTURE AND, IN PARTICULAR,LEAD TO IMPROVED SUPERSCALAR PROCESSORS.THIS RESEARCH IS A SYSTEMATIC STUDY OF THE EXPLOITATION OF INSTRUCTION-LEVEL PARALLELISM. CURRENT MICROPROCESSORS IMPROVE PERFORMANCE BY USING AGGRESSIVE TECHNIQUES TO EXPLOIT HIGH LEVELS OF INSTRUCTIONLEVEL PARALLELISM (ILP). THESE TECHNIQUES INCLUDE DYNAMIC BRANCH PREDICTION, MULTIPLE INSTRUCTION ISSUE, OUT-OF-order (DYNAMIC)SCHEDULING,NON-BLOCKING READS,AND SPECULATIVE EXECUTION.