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  2. Cycles per instruction - Wikipedia

    en.wikipedia.org/wiki/Cycles_per_instruction

    For example, with six executions units, six new instructions are fetched in stage 1 only after the six previous instructions finish at stage 5, therefore on average the number of clock cycles it takes to execute an instruction is 5/6 (CPI = 5/6 < 1). To get better CPI values with pipelining, there must be at least two execution units.

  3. Worst-case execution time - Wikipedia

    en.wikipedia.org/wiki/Worst-case_execution_time

    One component that makes up the response time is the time spent executing the software – hence if the software worst case execution time can be determined, then the designer of the system can use this with other techniques such as schedulability analysis to ensure that the system responds fast enough.

  4. Speedup - Wikipedia

    en.wikipedia.org/wiki/Speedup

    T is the execution time of the task; W is the execution workload of the task. Throughput of an architecture is the execution rate of a task: = = =, where ρ is the execution density (e.g., the number of stages in an instruction pipeline for a pipelined architecture);

  5. Analysis of parallel algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_parallel...

    Minimizing the depth/span is important in designing parallel algorithms, because the depth/span determines the shortest possible execution time. [8] Alternatively, the span can be defined as the time T ∞ spent computing using an idealized machine with an infinite number of processors. [9] The cost of the computation is the quantity pT p. This ...

  6. Instructions per cycle - Wikipedia

    en.wikipedia.org/wiki/Instructions_per_cycle

    While early generations of CPUs carried out all the steps to execute an instruction sequentially, modern CPUs can do many things in parallel. As it is impossible to just keep doubling the speed of the clock, instruction pipelining and superscalar processor design have evolved so CPUs can use a variety of execution units in parallel - looking ahead through the incoming instructions in order to ...

  7. Rate-monotonic scheduling - Wikipedia

    en.wikipedia.org/wiki/Rate-monotonic_scheduling

    In queueing theory, T i is called the interarrival time, and C i is called the service time. These two parameters are often specified as rates: These two parameters are often specified as rates: λ i = 1 T i {\displaystyle \lambda _{i}={1 \over T_{i}}} is the arrival rate , and

  8. Earliest deadline first scheduling - Wikipedia

    en.wikipedia.org/wiki/Earliest_deadline_first...

    Earliest deadline first (EDF) or least time to go is a dynamic priority scheduling algorithm used in real-time operating systems to place processes in a priority queue. Whenever a scheduling event occurs (task finishes, new task released, etc.) the queue will be searched for the process closest to its deadline.

  9. Turnaround time - Wikipedia

    en.wikipedia.org/wiki/Turnaround_time

    Lead Time vs Turnaround Time: Lead Time is the amount of time, defined by the supplier or service provider, that is required to meet a customer request or demand. [5] Lead-time is basically the time gap between the order placed by the customer and the time when the customer get the final delivery, on the other hand the Turnaround Time is in order to get a job done and deliver the output, once ...