Search Results for "parallel"
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Showing 20 open source projects for "parallel"
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caesar-lisflood
CAESAR-Lisflood landscape evolution model
Caesar Lisflood is a geomorphological / Landscape evolution model that combines the Lisflood-FP 2d hydrodynamic flow model (Bates et al, 2010) with the CAESAR geomorphic model to simulate erosion and deposition in river catchments and reaches over time scales from hours to 1000's of years. These sourceforge pages provide downloads of the .exe and the source code for CAESAR-lisflood and instructions and additional documentation can be found in the Wiki tab. These include a full description... -
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PANDA
A comprehensive and flexible quantification tool for proteomics data
...On the levels of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel. -
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...(Disclaimer: Processing time depends on compute hardware) Typical processing time for 100mb .las is about 2 seconds. 25mb .laz file process in about the same times. Files are processed in parallel using available CPU cores. Pre-built Windows x64 installer available at https://buymeacoffee.com/nathancrews/e/255641
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hash_val_4_Bloom
search for hash values used in Bloom filter for QNR membership
FenderBender -- on MersenneForum.org "Determine Squares" -- came up with using Bloom filter to detect Quadratic non-residues modulo small primes in order to reject what inputs are certainly not square roots. This reduces, by > 99%, the amount of actual square root calc's done and therefore is more efficient and faster. Search fur 32-bit vs 64-bit, hash values that make "perfect" Bloom filter. Variety of (simple) hash functions, requiring 2, 3, 4 or 5 hash values. Hideously vast search... -
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xoshiro_test
test xoshiro r.n.g.
xoshiro -- XOR shift ROT -- random number gen. Fast. Attempt to parallelize ... not so easy. Use 'unsafe' code path leads to lowered cycle lengths. So not fully tested. Non-parallel is not as fast but full cycle length. Compare against PCG, which is also fast but has unfortunate hi-correlation. -
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DIY Arduino Boards IO I2C
DIY Arduino Boards for IO using port expanders and I2C
DIY Arduino Boards PCF8674 MCP23017 74HC595 CD4021 I2C Parallel IO Piezo buzzers See the Files section for a wide range of sensors and sample code Schematics PCB Layout Sample Code -
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High Speed Parallel Imaging (HSPI)
HSPI does parallel capture and sky surveys.
HSPI offers to the astronomer the possibility to capture pictures from the CCD camera in a fast and intuitive way, keeping under control all the instrumentation in posses. HSPI can control the CCD camera, the mount, the focuser, the filter wheel and the dome from a single interface, and not only this: these features can be added on as many observatories and instrumentations you want. HSPI is ASCOM and INDI compatible, so if you want to use particular setups like Linux computers connected... -
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Shawn's AutoCAD Publisher
Publishing DWG to PDF made simple
...All of the PDF files will be waiting for you when you come back. The ability to publish multiple jobs in parallel can dramatically speed up the publishing process, but a solid state hard drive is strongly recommended. -
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Shawn's AutoCAD Scripter
AutoCAD batch scripting
...-The window can be resized so full paths can be read (EZscript doesn't do this) -A radio button can switch between using full blown AutoCAD to run scripts and using the console to run scripts. The console is much faster, and it works for most scripts. -Batch scripting with the console can be done in parallel, so multiple drawings are being scripted at the same time. This feature is limited to splitting jobs based on directory, so scripting drawings in 5 directories would run 5 console instances. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Center for Parallel Computing
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CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
...CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. ... -
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Driver Logger is an Open Source port analyser. The program is designed to monitor in/out traffic on a variety of bus ports such as USB, Parallel and Serial. The program logs the traffic and can also open, list, categorize and search through the logs.
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XIPL is a simple image processing library for Microsoft's XNA Game Studio framework. All image processing routines are coded in HLSL as pixel shaders and executed at amazing speed thanks to the GPU's massive parallel architecture.
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Align parallel data at sentence level and also automatic creation of .tmx files for use with Autshumato ITE
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MORP (Module Orientated Robotic Programming) is a framework bringing base implementations in order to easily connect modules such as a NXT or Bioloid Robot. It provides its own scripting languages called 'morp' dedicated to robot programming.
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Cloudster is a generic and parallel implementation of the k-means algorithm. It is written in C# and uses the Windows Azure environment.
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Software for creating Depth Maps and DEMs from image pairs taken using a Stereo Camera Rig. Currently works on images from Parallel Cameras. I can be contacted via jamie.fraser@gmail.com.
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An open source,platform independent,technical web programming language using MATLAB in background, that supports 3-Tier Architecture (Web-Business-DB) including Distributed Computing and Parallel Processing via remote procedure calls and web services.
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
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