With the proliferation of parallel computers and faster community networks, parallel metaheuristics are an effective alternative to speed up the search for approximate solutions of optimizations problems and allow solving larger problems while leading to more efficient algorithm…
Taking an integrated approach to techniques for sequential and parallel methods of computation, this text focuses on the design, analysis, and implementation of algorithms.
Optimize code for multi-core processors with Intel's Parallel StudioParallel programming is rapidly becoming a "must-know" skill for developers. Yet, where to start? This teach-yourself tutorial is an ideal starting point for developers who already know Windows C and C++ and are…
by Cooper, Keith, Mellor-Crummey, John, Sarkar, Vivek, LCPC, Houston, Tex, International Workshop on Languages and Compilers for Parallel Computing, Houston, Tex.), LCPC, Houston, Tex.)
fromLecture Notes in Computer Science
The study of biological and genetic information, mostly DNA data, is an extremely important subject which can provide critical information in many areas, such as understanding human diseases or discovering new drugs. A huge number of computing algorithms are developed and availa…
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of data mining. Although many efficient frequent-pattern mining techniques have been developed in the l…
The rapid advancement in the capacity and reliability of data storage technology has allowed for the retention of virtually limitless quantity and detail of digital information. Massive information databases are becoming more and more widespread among governmental, educational, …
