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  2. Block sort - Wikipedia

    en.wikipedia.org/wiki/Block_Sort

    this will be the size of the A blocks at the largest level of merges, so block sort can skip using internal or in-place merges for anything 512 a fixed-size buffer large enough to handle the numerous merges at the smaller levels of the merge sort 0 if the system cannot allocate any extra memory, no memory works well

  3. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Query by Slice, Parallel Execute, and Join: A Thread Pool Pattern in Java" by Binildas C. A. "Thread pools and work queues" by Brian Goetz "A Method of Worker Thread Pooling" by Pradeep Kumar Sahu "Work Queue" by Uri Twig: C++ code demonstration of pooled threads executing a work queue. "Windows Thread Pooling and Execution Chaining"

  4. Nested loop join - Wikipedia

    en.wikipedia.org/wiki/Nested_loop_join

    algorithm nested_loop_join is for each tuple r in R do for each tuple s in S do if r and s satisfy the join condition then yield tuple <r,s> This algorithm will involve n r *b s + b r block transfers and n r +b r seeks, where b r and b s are number of blocks in relations R and S respectively, and n r is the number of tuples in relation R.

  5. Consistent Overhead Byte Stuffing - Wikipedia

    en.wikipedia.org/wiki/Consistent_Overhead_Byte...

    Although HDLC framing has an overhead of <1% in the average case, it suffers from a very poor worst-case overhead of 100%; for inputs that consist entirely of bytes that require escaping, HDLC byte stuffing will double the size of the input. The COBS algorithm, on the other hand, tightly bounds the worst-case overhead.

  6. Thread-local storage - Wikipedia

    en.wikipedia.org/wiki/Thread-local_storage

    At least for Oracle/OpenJDK, this does not use native thread-local storage in spite of OS threads being used for other aspects of Java threading. Instead, each Thread object stores a (non-thread-safe) map of ThreadLocal objects to their values (as opposed to each ThreadLocal having a map of Thread objects to values and incurring a performance ...

  7. Data buffer - Wikipedia

    en.wikipedia.org/wiki/Data_buffer

    In computer science, a data buffer (or just buffer) is a region of memory used to store data temporarily while it is being moved from one place to another. Typically, the data is stored in a buffer as it is retrieved from an input device (such as a microphone) or just before it is sent to an output device (such as speakers); however, a buffer may be used when data is moved between processes ...

  8. Buffer overflow - Wikipedia

    en.wikipedia.org/wiki/Buffer_overflow

    Visualization of a software buffer overflow. Data is written into A, but is too large to fit within A, so it overflows into B.. In programming and information security, a buffer overflow or buffer overrun is an anomaly whereby a program writes data to a buffer beyond the buffer's allocated memory, overwriting adjacent memory locations.

  9. Circular buffer - Wikipedia

    en.wikipedia.org/wiki/Circular_buffer

    Circular buffering makes a good implementation strategy for a queue that has fixed maximum size. Should a maximum size be adopted for a queue, then a circular buffer is a completely ideal implementation; all queue operations are constant time. However, expanding a circular buffer requires shifting memory, which is comparatively costly.