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In computer graphics, a video card's pixel fillrate refers to the number of pixels that can be rendered on the screen and written to video memory in one second. [1] Pixel fillrates are given in megapixels per second or in gigapixels per second (in the case of newer cards), and are obtained by multiplying the number of render output units (ROPs) by the clock frequency of the graphics processing ...
The naïve roofline [3] is obtained by applying simple bound and bottleneck analysis. [8] In this formulation of the roofline model, there are only two parameters, the peak performance and the peak bandwidth of the specific architecture , and one variable, the arithmetic intensity .
In engineering, a bottleneck is a phenomenon by which the performance or capacity of an entire system is severely limited by a single component. The component is sometimes called a bottleneck point. The term is metaphorically derived from the neck of a bottle, where the flow speed of the liquid is limited by its neck.
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
The SX-9 features the first CPU capable of a peak vector performance of 102.4 gigaFLOPS per single core. On February 4, 2008, the NSF and the University of Texas at Austin opened full scale research runs on an AMD , Sun supercomputer named Ranger , [ 44 ] the most powerful supercomputing system in the world for open science research, which ...
A von Neumann architecture scheme. The von Neumann architecture—also known as the von Neumann model or Princeton architecture—is a computer architecture based on the First Draft of a Report on the EDVAC, [1] written by John von Neumann in 1945, describing designs discussed with John Mauchly and J. Presper Eckert at the University of Pennsylvania's Moore School of Electrical Engineering.
1×10 −1: multiplication of two 10-digit numbers by a 1940s electromechanical desk calculator [1] 3×10 −1: multiplication on Zuse Z3 and Z4, first programmable digital computers, 1941 and 1945 respectively; 5×10 −1: computing power of the average human mental calculation [clarification needed] for multiplication using pen and paper
The bottleneck has the lowest throughput of all parts of the transaction path. [1] System designers try to avoid bottlenecks through direct effort towards locating and tuning existing bottlenecks in a software application. Some examples of engineering bottlenecks that appear include the following: a processor, a communication link, and disk IO. [2]