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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 ...
An implication of Amdahl's law is that to speed up real applications which have both serial and parallel portions, heterogeneous computing techniques are required. [12] There are novel speedup and energy consumption models based on a more general representation of heterogeneity, referred to as the normal form heterogeneity, that support a wide ...
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.
For example, if the throughput is 70 Mbit/s in a 100 Mbit/s Ethernet connection, the channel efficiency is 70%. In this example, effectively 70 Mbit of data are transmitted every second. Channel utilization is instead a term related to the use of the channel, disregarding the throughput.
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 ...
Latency, from a general point of view, is a time delay between the cause and the effect of some physical change in the system being observed. Lag, as it is known in gaming circles, refers to the latency between the input to a simulation and the visual or auditory response, often occurring because of network delay in online games.
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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]