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The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. [1] It is designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self ...
A system or application will hit a bottleneck if the work arrives at a comparatively faster pace relative to other processing components. [3] According to the theory of constraints, improving on the occurrences of hot-spot point of the bottleneck constraint improves the overall processing speed of the software. [4]
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. Formally, a bottleneck lies on a system's critical path and provides the lowest throughput. Bottlenecks are usually avoided by system designers, also a great amount of ...
Non-Parallelizable Work: Amdahl's Law emphasizes the non-parallelizable portion of the task as a bottleneck but doesn’t provide solutions for reducing or optimizing this portion. Assumes Homogeneous Processors : It assumes that all processors are identical and contribute equally to speedup, which may not be the case in heterogeneous computing ...
Bottleneck (production), where one process reduces capacity of the whole chain; Bottleneck (software), in software engineering; Interconnect bottleneck, limits on integrated circuit performance; Internet bottleneck, slowing the performance on the Internet at a particular point; Bottleneck, a design element of some firearms cartridge cases
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.
An earlier propagator of a similar concept was Wolfgang Mewes [2] in Germany with publications on power-oriented management theory (Machtorientierte Führungstheorie, 1963) and following with his Energo-Kybernetic System (EKS, 1971), later renamed Engpasskonzentrierte Strategie (Bottleneck-focused Strategy) as a more advanced theory of bottlenecks.
The Bottleneck traveling salesman problem (bottleneck TSP) is a problem in discrete or combinatorial optimization. The problem is to find the Hamiltonian cycle (visiting each node exactly once) in a weighted graph which minimizes the weight of the highest-weight edge of the cycle. [ 1 ]