Search Results for "performance" - Page 2
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35 projects for "performance" with 2 filters applied:
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This project is aimed at analysis of the bat's cochlear model for its echo location performance. It uses DSP and statistical/stochastic signal processing theory. Language: Matlab and C/C++
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VT-Layer is a Java library for discrete-event simulation modeling. VT-Layer allows you to create, visualize, and analyze high-performance discrete-event simulations.
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The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
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The Distributed Real-time Embedded Analysis Method (DREAM) is a tool and method for the real-time verification and performance estimation of distributed real-time embedded (DRE) systems. Publications: http://www.ics.uci.edu/~gabe/publications.html.
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...Viperfish provides the ability to visualise and modify GRIB (weather prediction) files, it can plot routes and provides routing based on coming weather and boat performance.
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RangeSim is a collection of classes for simulating distributed protocols for range search on P2P (peer-to-peer) network environments. It is based upon the PeerSim simulator, which offers easy configuration, extendability and high performance.
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ISAS is a configurable computer instruction set architecture simulator, written in Java, that can be used to quickly define, test and measure performance of computer instruction set architectures.
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Library for the simulation of high-performance processors. The goal is to provide an environment for testing new hardware solutions. See Doxygen doc in "CVS browse" for more info.
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Multi-user online service implementation for web-based factory modeling. Rich user interface and scalable backend system to build online simulation services on or do other processing of factory data. Demo at https://fabriksimulation.ipa.fraunhofer.de
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KInvestSim is an investment simulator for KDE4. It provides facilities for manipulating price and indicator data, writing and testing timing strategies, managing simulated portfolios, and measuring the performance of the simulated portfolios.
