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  2. CPU-bound - Wikipedia

    en.wikipedia.org/wiki/CPU-bound

    Finally, tasks required of modern computers often emphasize quite different components, so that resolving a bottleneck for one task may not affect the performance of another. For these reasons, upgrading a CPU does not always have a dramatic effect. The concept of being CPU-bound is now one of many factors considered in modern computing ...

  3. Memory leak - Wikipedia

    en.wikipedia.org/wiki/Memory_leak

    A memory leak can cause an increase in memory usage, performance run-time and can negatively impact the user experience. [4] Eventually, in the worst case, too much of the available memory may become allocated and all or part of the system or device stops working correctly, the application fails, or the system slows down vastly due to thrashing .

  4. Wait state - Wikipedia

    en.wikipedia.org/wiki/Wait_state

    Even memory, the fastest of these, cannot supply data as fast as the CPU could process it. In an example from 2011, typical PC processors like the Intel Core 2 and the AMD Athlon 64 X2 run with a clock of several GHz , which means that one clock cycle is less than 1 nanosecond (typically about 0.3 ns to 0.5 ns on modern desktop CPUs), while ...

  5. High availability - Wikipedia

    en.wikipedia.org/wiki/High_availability

    One such example is a fire or flood that destroys a data center and its systems when there is no secondary disaster recovery data center. Another related concept is data availability , that is the degree to which databases and other information storage systems faithfully record and report system transactions.

  6. Load (computing) - Wikipedia

    en.wikipedia.org/wiki/Load_(computing)

    For example, one can interpret a load average of "1.73 0.60 7.98" on a single-CPU system as: During the last minute, the system was overloaded by 73% on average (1.73 runnable processes, so that 0.73 processes had to wait for a turn for a single CPU system on average). During the last 5 minutes, the CPU was idling 40% of the time, on average.

  7. Fair-share scheduling - Wikipedia

    en.wikipedia.org/wiki/Fair-share_scheduling

    On the other hand, if a new user starts a process on the system, the scheduler will reapportion the available CPU cycles such that each user gets 20% of the whole (100% / 5 = 20%). Another layer of abstraction allows us to partition users into groups, and apply the fair share algorithm to the groups as well.

  8. Branch predictor - Wikipedia

    en.wikipedia.org/wiki/Branch_predictor

    Because they use branch delay slots, fetched just one instruction per cycle, and execute in-order, there is no performance loss. The later R4000 uses the same trivial "not-taken" branch prediction, and loses two cycles to each taken branch because the branch resolution recurrence is four cycles long.

  9. Single point of failure - Wikipedia

    en.wikipedia.org/wiki/Single_point_of_failure

    Such networks – including ARPANET and the Internet – are designed to have no single point of failure. Multiple paths between any two points on the network allow those points to continue communicating with each other, the packets "routing around" damage , even after any single failure of any one particular path or any one intermediate node.