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  2. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    The size of a thread pool is the number of threads kept in reserve for executing tasks. It is usually a tunable parameter of the application, adjusted to optimize program performance. [ 3 ] Deciding the optimal thread pool size is crucial to optimize performance.

  3. IronPython - Wikipedia

    en.wikipedia.org/wiki/IronPython

    IronPython is written entirely in C#, although some of its code is automatically generated by a code generator written in Python. IronPython is implemented on top of the Dynamic Language Runtime (DLR), a library running on top of the Common Language Infrastructure that provides dynamic typing and dynamic method dispatch, among other things, for ...

  4. Limits of computation - Wikipedia

    en.wikipedia.org/wiki/Limits_of_computation

    The Bekenstein bound limits the amount of information that can be stored within a spherical volume to the entropy of a black hole with the same surface area. Thermodynamics limit the data storage of a system based on its energy, number of particles and particle modes. In practice, it is a stronger bound than the Bekenstein bound.

  5. Work stealing - Wikipedia

    en.wikipedia.org/wiki/Work_stealing

    The work stealing algorithm as outlined earlier, and its analysis, assume a computing environment where a computation is scheduled onto a set of dedicated processors. In a multiprogramming (multi-tasking) environment, the algorithm must be modified to instead schedule computation tasks onto a pool of worker threads , which in turn are scheduled ...

  6. M/M/c queue - Wikipedia

    en.wikipedia.org/wiki/M/M/c_queue

    In queueing theory, a discipline within the mathematical theory of probability, the M/M/c queue (or Erlang–C model [1]: 495 ) is a multi-server queueing model. [2] In Kendall's notation it describes a system where arrivals form a single queue and are governed by a Poisson process, there are c servers, and job service times are exponentially distributed. [3]

  7. Single instruction, multiple data - Wikipedia

    en.wikipedia.org/wiki/Single_instruction...

    Single instruction, multiple data. Single instruction, multiple data (SIMD) is a type of parallel processing in Flynn's taxonomy.SIMD can be internal (part of the hardware design) and it can be directly accessible through an instruction set architecture (ISA), but it should not be confused with an ISA.

  8. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  9. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    The single-instruction-single-data (SISD) classification is equivalent to an entirely sequential program. The single-instruction-multiple-data (SIMD) classification is analogous to doing the same operation repeatedly over a large data set. This is commonly done in signal processing applications. Multiple-instruction-single-data (MISD) is a ...