2019/12/17 by Ahmad Yasin, Jawad Haj-Yahya, Yosi Ben-Asher +1 · 1 voice · 1 citation
Computer Science · Engineering · #Cloud Computing and Resource Management #Parallel Computing and Optimization Techniques #Radiation Effects in Electronics
paper · pdf · doi:10.1145/3369383
openalex publication_date 2019/12/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
The slowdown in technology scaling puts architectural features at the forefront of the innovation in modern processors. This article presents a Metric-Guided Method (MGM) that extends Top-Down analysis with carefully selected, dynamically adapted metrics in a structured approach. Using MGM, we conduct two evaluations at the microarchitecture and the Instruction Set Architecture (ISA) levels. Our results show that simple optimizations, such as improved representation of CISC instructions, broadly improve performance, while changes in the Floating-Point execution units had mixed impact. Overall, we report 10 architectural insights—at the microarchitecture, ISA, and compiler fronts—while quantifying their impact on the SPEC CPU benchmarks.