Summary: Improving Energy Efficiency and Reducing Code Size with
by Andrew S. Waterman
Submitted to the Department of Electrical Engineering and Computer Sciences,
University of California at Berkeley, in partial satisfaction of the requirements for
the degree of Master of Science, Plan II.
Approval for the Report and Comprehensive Examination:
Professor D. Patterson
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Professor K. Asanovi┤c
Delivering the instruction stream can be the largest source of energy consumption in a
processor, yet loosely-encoded RISC instruction sets are wasteful of instruction bandwidth.
Aiming to improve the performance and energy efficiency of the RISC-V ISA, this thesis