00000caa a22000003i 4500 UP-1685594773862388556 Buklod 20210318172526.0 m | | ta 210318s2018 xx r |||| u|eng d (iLib)UPBAG-00039513747 STII-DOST BAG rda eng ARTICLE-2741 Cempron, Jonathan Paul author. Assembly program performance analysis metrics instructions performed and program latency exemplified on loop unroll by Jonathan Paul Cempron, Chudrack Shalym Salinas, and Roger Luis Uy. 2018. pages 441-452 color illustrations 26 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 451-452) Software program optimization for improved execution speed can be achieved through modifying the program. Said program is usually written in High-Level languages then later translated into Low-Level languages, a language specific to the processor used. A larger coverage of optimization can be achieved through optimizing in Low-Level Language ? rather than in the High-Level language ? because all High-Level languages are eventually translated to Low-Level. One method that has been used in the past is Loop Unrolling, which is done by transforming iterative looping blocks into longer sequential code blocks. This method of optimization increases code length but reduces branching instructions and the latencies introduced by said instructions. However, measuring the performance difference between the original code against the loop unroll optimized code cannot be exposed using current static performance metrics, which rely on IC. Alternative metrics ? Instructions Performed and Instruction Latency ? are proposed for examining the effectivity of optimization due to the limitations in traditional metrics based on IC. As an extension of loop unrolling, its specific explanation in this paper is discussed as a pre-processor for autovectorization. The specific methods of vectorization, however, will not be a part of this paper?s scope. Computer science. Assembly programming. Instruction set architecture. Loop unroll. Metric. Optimization. Vectorization. The Philippine Journal of Science Vol. 147, no. 3, September 2018. Request full-text access via UPB University Library through https://forms.gle/KZjBv7aRtY6jiL5E9 (viewed 18 March 2021) FI UPBAG UPBAG-MAIN ARTICLE-2741 Analytics