Search Results for "research"
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Showing 165 open source projects for "research"
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Faiss
Library for efficient similarity search and clustering dense vectors
...It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. ... -
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TIPC Cluster Domain Sockets
Cluster wide IPC providing datagram, connection, and bus messaging
The Transparent Inter Process Communication service can best be described as a cluster wide equivalent to the Unix Domain Socket IPC, but with much more features. Go to http://www.tipc.io for more details. -
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MooseFS
Fault tolerant, POSIX-compliant, Net Distributed Storage / File System
MooseFS (MFS) is a fault tolerant, highly performing, scaling-out, network distributed file system. It spreads data over several physical servers which are visible to the user as one resource. For standard file operations MooseFS mounted with FUSE acts as other Unix-alike file systems: * A hierarchical structure (directory tree) * Stores POSIX file attributes (permissions, last access and modification times) Supports special files (block and character devices, pipes and sockets) *... -
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Parallel executor
paexec distributes tasks over network or CPUs.
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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Generic SCSI target subsystem for Linux SCST allows creation of sophisticated storage devices. It includes generic SCSI target core with SCSI target drivers and backend handlers. There are target drivers for iSCSI, Fibre Channel, SRP, SAS, FCoE, etc.
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slurm-roll
Slurm Resource Manager for Rocks Clusters
Slurm is a replacement for other resource management software and schedulers like gridengine or torque. The slurm roll integrates very well into a rocks clusters installation. In the folder addons, there are a lot of useful rolls for rocks clusters 6.1 and 6.2. These rolls do not depend on slurm. Please see Discussion for further information and support -
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
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EECluster
Tool for energy-efficient resource management in HPC clusters
EECluster is software tool for managing the energy-efficient allocation of the cluster resources. EECluster uses a Hybrid Genetic Fuzzy System as the decision-making mechanism that elicits part of its rule base dependent on the cluster workload scenario, delivering good compliance with the administrator preferences. In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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GPU, a Global Processing Unit
A framework for distributed computing
An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients. -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
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UNFS3
UNFS3 is a user-space NFSv3 server
UNFS3 is a user-space implementation of the NFSv3 server specification. It provides a unified mountd and nfsd program and so far runs under Linux, NetBSD, and Solaris. -
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Glass Library
Glass is a library for distributed computing.
Glass is a library for distributed computing. It's written in C++ and widely portable. -
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glusterfs-roll
Glusterfs filesystem for Rocks Cluster
Glusterfs is a high performance filesystem from Red Hat. This Roll integrates Glusterfs in Rocks -
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lustre-roll
lustre client roll for rocks clusters
This roll provides rpm packages to mount the lustre filesystem on the frontends and compute nodes of a rocks cluster. Please contact me if you need this roll for another kernel and/or lustre version. -
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Postgres-XC is a write-scalable synchronous multi-master PostgreSQL cluster with the following features. 1) Both read and write scalability. 2) Configured with more than one server. 3) Complete global transaction and visibility management.
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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Hrothgar Parallel LM/MCMC Minimizer
A versatile MCMC and downhill optimization engine
Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C. -
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PARUS
Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it. -
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The aim of the project is to develop an open source iSCSI target with professional features, works well in enterprise environment under real workload, and is scalable and versatile enough to meet the challenge of future storage needs and developements.
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Unified Cluster
Run bioinformatic task on supercomputers
The web bases system that allows one user register himself in web interface and run bioinformatic tasks on multiple clusters. -
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ThunderstormDistributor
Distribute jobs to compute nodes on dynamic clusters
ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows. -
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RainforestCluster
Dynamically manage Amazon EC2 clusters
RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any... -
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Ganglia Job Monarch
Batch system monitoring and archiving
Job Monarch is an addon to the Ganglia Monitoring System that provides batch job monitoring and archiving plus a graphical overview of clusters and assorted batch systems. Fully supported batch system: Torque, PBS and SLURM. Experimental: LSF, SGE
