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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:
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.
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.
The resultant curve is effectively a performance bound under which kernel or application performance exists, and includes two platform-specific performance ceilings [clarification needed]: a ceiling derived from the memory bandwidth and one derived from the processor's peak performance (see figure on the right).
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.
"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.
Thus the unit MIPS was useful to measure integer performance of any computer, including those without such a capability, and to account for architecture differences, similar MOPS (million operations per second) was used as early as 1970 [4] as well. Note that besides integer (or fixed-point) arithmetics, examples of integer operation include ...