Search Results for "performance testing"
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22 projects for "performance testing" with 2 filters applied:
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JDiskMark
Java Disk Benchmark Utility
JDiskMark is a powerful and versatile disk benchmarking tool written in Java, designed to help you accurately measure the performance of your storage devices across different operating systems. Whether you're testing HDDs, SSDs, or network drives, JDiskMark provides reliable insights into your disk's read and write speeds. ubuntu: https://sourceforge.net/projects/jdiskmark/files/0.7.0/jdiskmark_0.7.0_amd64.deb/download rhel/fedora: https://sourceforge.net/projects/jdiskmark/files/0.7.0/jdiskmark-0.7.0-1.x86_64.rpm/download macos*: https://sourceforge.net/projects/jdiskmark/files/0.7.0/jdiskmark-0.7.0.pkg/download windows: https://sourceforge.net/projects/jdiskmark/files/0.7.0/jdiskmark-0.7.0.msi/download * on macos admin allows jdiskmark to clear your disk cache. ... -
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OpenNN - Open Neural Networks Library
Machine learning algorithms for advanced analytics
OpenNN is a software library written in C++ for advanced analytics. It implements neural networks, the most successful machine learning method. Some typical applications of OpenNN are business intelligence (customer segmentation, churn prevention…), health care (early diagnosis, microarray analysis…) and engineering (performance optimization, predictive maitenance…). OpenNN does not deal with computer vision or natural language processing. The main advantage of OpenNN is its... -
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coarrays
A free Fortran 2008, 2018 coarrays course with notes and exercises
Coarrays are native Fortran means for SPMD parallel programming. At runtime multiple copies of the executable (called images) are executing asynchronously. The F2008 standard provides coarray syntax, remote calls, coarray data objects, allocatable coarrays, syncronisation, atomics, etc. F2018 adds new functionality, e.g. collectives, teams, events, more atomics. Coarrays are used extensively in CASUP library for HPC (https://cgpack.sourceforge.io). The course is aimed at experienced... -
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TEACUP
TCP Experiment Automation Controlled Using Python
TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. -
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FAST Simulations
An Open source Analysis and SImulation Toolbox for Fuel Cells
FAST is an Analysis and Simulation Toolbox (FAST) for Fuel Cells (FC) FAST-FC is the doctorate work of David B. Harvey and was developed with support from the U.S. DOE, Ballard, and Queen's University. Derivative works of FAST-FC include FC-APOLLO which is a forked branch of this project intended to capture the code state at the exit of the funded DOE project. FAST-FC is the open and active community branch. FAST-FC is developed and maintained by the original creator and... -
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alio
An "Alternative IO" layer.
The alio library can be dynamically pre-linked to existing executables and replaces file IO (i.e. calls to glibc's IO functions). This allows to gather statistics about IO, create IO trace files, or even implement a different IO behaviour (e.g. use separate IO servers to handle IO). -
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ApproxAdderLib
Library of Approximate Adders
We provide MATLAB and Verilog Models of GeAr, and previously proposed adders (ACA-I, ETAII, ACA-II and GDA) at http://sourceforge.net/projects/approxadderlib/ GeAr is a low latency Generic Accuracy Configurable Adder that provides a higher number of potential configurations compared to state-of-the-art approximate adders, thus enabling a high degree of flexibility and trade-off between performance and output quality. These MATALB and Verilog models can allow software programmer as well as... -
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TMVA Toolkit for Multi Variate Analysis
A ROOT-integrated toolkit for multivariate analysis
TMVA is a ROOT-integrated toolkit for multivariate classification and regression analysis. TMVA performs the training, testing and performance evaluation of a large variety of multivariate methods. Since 2013, TMVA has been fully integrated with ROOT and is distributed as part of it. The new homepage of TMVA is https://root.cern -
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dbtesma
efficient data generation for benchmarks and performance analysis
Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies. -
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SCHEDuler SIMULAtor (originally sched_sim) is a simple C++ event driven simulator of scheduling policies (single processor). Currently supported scheduling policies are: FIFO, LIFO, EDF, LST, RM, DM.
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Global Epidemic Simulator
A platform for modelling influenza-like epidemics and containment
...The significant advance of this project over previous work is the global nature of simulation, the memory and performance requirements of which motivate us towards a multi-core, multi-computer solution. -
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jLlama is a desktop application to monitor servers over SSH. Any figure retrieved from the command line can be polled and graphed in real time. Out of the box, jLlama can graph CPU and Memory usage for Linux and Solaris servers.
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An open-source desktop application for load/performance testing a web site. It has a very simple UI to configure the load test. The future plan includes transaction support, record, playback and support for load injector agents.
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Real time micro benchmark multi-lingual suite (RTMB) provides a good way to measure the deterministic quality of hardware, an operating system, or a Java Virtual Machine. RTMB consists of benchmarks in C, C++ and Java
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The goal of this project is to develop a framework to test and measure the performance of IEEE 802.11 based devices. Currently we aims to address the issues related to protocol conformance testing for a device.
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JRandO is a test data generator or better test object generator framework. It can be used in JUnit tests or in performance test (for e.g. using JMeter). It may also be useful in anonymization of data or in a simulation environment.
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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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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due... -
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Open H.323 Call Generator is an OpenH323 (www.openh323.org) spinoff project for testing and performance analysis in H.323 environments.
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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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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.
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