Search Results for "disk tools"

When you need the best performance for your location-based applications, you can rely on Tile38. Tile38 is an ultra-fast, open source geospatial database and geofencing server capable of real-time geofencing, fast spatial indexing and more. It supports a variety of object types including lat/lon, Geohash, bbox, GeoJSON, QuadKey, and XYZ tile; and is capable of operations like Nearby, Within, and Intersects. There’s also built-in support for many popular tools. Tile38 is made up of 3 main...

...The software automates tasks such as topology generation, solvation, ion addition, minimization, equilibration, and production runs while executing GROMACS commands in the background. Built-in monitoring tracks CPU, RAM, and disk usage to ensure stable performance during parallel processing. Beyond simulation execution, it includes advanced trajectory processing and analysis tools such as RMSD, RMSF, SASA, clustering, PCA, hydrogen-bond analysis, Ramachandran plots, and FEL mapping. With integrated visualization and plotting utilities, it offers a unified platform for researchers, educators, and students to perform complete MD workflows efficiently and reproducibly. ...

Distributed test running system. build for running simulations, quality assurance or similar where you need to run a large number of tests. Supports dependencies, iteration, disk space management and log file analysis.

This is going to be a set of tools which is intended to be used with huge OSM files like the planet files in XML format. The parser reads directly from packed *.gz files and it is not needed to unpack the OSM/XML data files to the local disk. Now in 0.3.0: osm_tags: tag analyzer (like tag watch) osm_split: split osm file in single files for nodes, ways and relations and collect some meta information (will be used as input for other tools).

Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas".

PileLine (Pileup pipeLine) is a toolkit for efficient handling of genomic position (GP) files, produced by next-generation sequencing experiments. It is designed to be memory efficient by performing on-disk operations over sorted GP files.

In this work, we develop novel disk characterization suite, DIG(Disk Geometry Analyzer), which allows us to rapidly extract and to characterize the key performance metric of modern hard disk drive.