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Selection of an instruction set architecture affects , whereas is largely determined by the manufacturing technology. Classic Complex Instruction Set Computer (CISC) ISAs optimized I n s t r u c t i o n s P r o g r a m {\displaystyle \mathrm {\tfrac {Instructions}{Program}} } by providing a larger set of more complex CPU instructions .
In computing, computer performance is the amount of useful work accomplished by a computer system. Outside of specific contexts, computer performance is estimated in terms of accuracy, efficiency and speed of executing computer program instructions. When it comes to high computer performance, one or more of the following factors might be involved:
Short title: Computer performance evaluation: Author: Highland, Harold Joseph: Software used: Digitized by the Internet Archive: Conversion program: Recoded by LuraDocument PDF v2.65
— A computer program that processes files from disk. A part of that program may scan the directory of the disk and create a list of files internally in memory. After that, another part of the program passes each file to a separate thread for processing. The part that scans the directory and creates the file list cannot be sped up on a ...
"the overall performance improvement gained by optimizing a single part of a system is limited by the fraction of time that the improved part is actually used". [2] It is named after computer scientist Gene Amdahl, and was presented at the American Federation of Information Processing Societies (AFIPS) Spring Joint Computer Conference in 1967.
In computer architecture, cycles per instruction (aka clock cycles per instruction, clocks per instruction, or CPI) is one aspect of a processor's performance: the average number of clock cycles per instruction for a program or program fragment. [1] It is the multiplicative inverse of instructions per cycle.
It accounts for the fact that hits and misses affect memory system performance differently. In addition, AMAT can be extended recursively to multiple layers of the memory hierarchy . It focuses on how locality and cache misses affect overall performance and allows for a quick analysis of different cache design techniques.
In computer architecture, speedup is a number that measures the relative performance of two systems processing the same problem. More technically, it is the improvement in speed of execution of a task executed on two similar architectures with different resources.