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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:
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).
Computer architecture is concerned with balancing the performance, efficiency, cost, and reliability of a computer system. The case of instruction set architecture can be used to illustrate the balance of these competing factors.
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.
A graphical demo running as a benchmark of the OGRE engine. In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative performance of an object, normally by running a number of standard tests and trials against it.
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 .
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Diagram illustrating user requests to an Elasticsearch cluster being distributed by a load balancer. (Example for Wikipedia.). In computing, load balancing is the process of distributing a set of tasks over a set of resources (computing units), with the aim of making their overall processing more efficient.