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  2. Amdahl's law - Wikipedia

    en.wikipedia.org/wiki/Amdahl's_law

    In computer architecture, Amdahl's law (or Amdahl's argument [1]) is a formula that shows how much faster a task can be completed when you add more resources to the system. The law can be stated as: "the overall performance improvement gained by optimizing a single part of a system is limited by the fraction of time that the improved part is ...

  3. Dhrystone - Wikipedia

    en.wikipedia.org/wiki/Dhrystone

    Similarly, Dhrystone may also fit completely in the data cache, thus not exercising data cache miss performance. To counter fits-in-the-cache problem, the SPECint benchmark was created in 1988 to include a suite of (initially 8) much larger programs (including a compiler) which could not fit into L1 or L2 caches of that era.

  4. LINPACK benchmarks - Wikipedia

    en.wikipedia.org/wiki/LINPACK_benchmarks

    For each computer system, the following quantities are reported: [2] R max: the performance in GFLOPS for the largest problem run on a machine. N max: the size of the largest problem run on a machine. N 1/2: the size where half the Rmax execution rate is achieved. R peak: the theoretical peak performance GFLOPS for the machine.

  5. Bandwidth throttling - Wikipedia

    en.wikipedia.org/wiki/Bandwidth_throttling

    at application software level, to control the speed of ingoing (received) data and/or to control the speed of outgoing (sent) data: a client program could be configured to throttle the sending (upload) of a big file to a server program in order to reserve some network bandwidth for other uses (i.e. for sending emails with attached data ...

  6. Scalability - Wikipedia

    en.wikipedia.org/wiki/Scalability

    For example: suppose 70% of a program can be sped up if parallelized and run on multiple CPUs instead of one. If α {\displaystyle \alpha } is the fraction of a calculation that is sequential, and 1 − α {\displaystyle 1-\alpha } is the fraction that can be parallelized, the maximum speedup that can be achieved by using P processors is given ...

  7. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    A vector processor is a CPU or computer system that can execute the same instruction on large sets of data. Vector processors have high-level operations that work on linear arrays of numbers or vectors. An example vector operation is A = B × C, where A, B, and C are each 64-element vectors of 64-bit floating-point numbers. [64]

  8. Average memory access time - Wikipedia

    en.wikipedia.org/wiki/Average_memory_access_time

    It accounts for the fact that hits and misses affect memory system performance differently. In addition, AMAT can be extended recursively to multiple layers of the memory hierarchy. It focuses on how locality and cache misses affect overall performance and allows for a quick analysis of different cache design techniques.

  9. 64-bit computing - Wikipedia

    en.wikipedia.org/wiki/64-bit_computing

    Google announces the Nexus 9 tablet, the first Android device to run on the 64-bit Tegra K1 chip. 2015 Apple announces the iPod Touch (6th generation), the first iPod Touch to use the 64-bit processor A8 ARMv8-A-based system-on-a-chip alongside the Apple TV (4th generation) which is the world's first 64-bit processor in an Apple TV. 2018