Fast , Distributed Approximation Algorithms for Positive LinearProgramming with Appli ations to Flow Control
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How Fast is ‘-fast’? Performance Analysis of KDD Applications using Hardware Performance Counters on UltraSPARC-III
ABSTRACT Modern pro essors and omputer systems are designed to be eÆ ient and a hieve high performan e with appli ations that have regular memory a ess patterns. For example, dense linear algebra routines an be implemented to a hieve near peak performan e. While su h routines have traditionally formed the ore of many s ienti and engineering appli ations, ommer ial workloads like database and we...
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International Conference on Advances in the Internet , Systems
Abstra t|Speedup is one of the main performan e hara teristi s of distributed appli ations. It is de ned as the ratio of appli ation's exe ution time on a single pro essor to the exe ution time, of the same workload, on a system omposed on N pro essors. This paper analyzes, in very general terms, the speedup that an be a hieved in distributed environments and shows why some appli ations s ale v...
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We are urrently developping a suite of self-organizing lustering algorithms whi h will automati ally adapt to network dynami s in response to appli ation-spe i requirements. As a starting point, we identify groups of dynami network appli ations, or appli ation lasses, whi h will use a ommon family of lustering algorithms. Within an appli ation lass, the performan e requirements of individual ap...
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