Search Results for "hpc"
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Showing 24 open source projects for "hpc"
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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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AWS ParallelCluster Cookbook
The Chef cookbook used to build and bootstrap AWS ParallelCluster
AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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libfabric
AWS Libfabric
...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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Beta9
Run serverless GPU workloads with fast cold starts on bare-metal
beta9 is a platform that enables running serverless GPU workloads with fast cold starts on bare-metal servers globally. It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively. -
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LFortran
Official main repository for LFortran
LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute the user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile binaries with the goal of running the user’s code on modern architectures such as multi-core CPUs and GPUs. LFortran is in alpha (it is expected to not work on third-party codes and users enthusiastically participate in bug reporting and fixing). -
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lockfree
A collection of lock-free data structures written in standard C++11
lockfree is a collection of lock-free data structures written in standard C++11 and suitable for all platforms - from deeply embedded to HPC. Lock-free data structures are data structures that are thread and interrupt-safe for concurrent use without having to use mutual exclusion mechanisms. They are most useful for inter-process communication and often scale much better than lock-based structures with the number of operations and threads. -
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Unified Communication X
Communication framework for data-centric high-performance applications
Accelerate Your Network Performance with UCX. Collaboration between industry, laboratories, and academia to create an open-source, production-grade communication framework for data-centric and high-performance applications. Unified Communication X (UCX) is an award winning, optimized production proven communication framework for modern, high-bandwidth and low-latency networks. UCX exposes a set of abstract communication primitives which utilize the best of available hardware resources and... -
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Thrust
The C++ parallel algorithms library
...It also provides a number of general-purpose facilities similar to those found in the C++ Standard Library. The NVIDIA C++ Standard Library is an open-source project; it is available on GitHub and included in the NVIDIA HPC SDK and CUDA Toolkit. If you have one of those SDKs installed, no additional installation or compiler flags are needed to use libcu++. Thrust is a header-only library; there is no need to build or install the project unless you want to run the Thrust unit tests. -
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Singularity
Open source container platform designed to be simple, fast, and secure
Singularity is an open-source container platform designed to be simple, fast, and secure. Many container platforms are available, but Singularity is designed for ease of use on shared systems and in high-performance computing (HPC) environments. -
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Haxentric
An Adobe/Apache Flex-like Haxe/HTML/JavaScript Framework
Haxentric is a client side Haxe/HTML/JavaScript framework. It is similar to Adobe/Apache Flex (but not the same). It has a precompiler (named HPC) which converts HXML codes to Haxe classes. Haxe classes are converted to JavaScript codes by the Haxe compiler. It has a packager (named HPKG) which creates single HTML applications. And with the embedder (named HE) you can embed text files into a class. Available under LGPL 3.0. -
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progrep
Utility to show live progress, status & stats for running simulations
...It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can also report for jobs running on remote hosts, e.g. jobs running on Linux Clusters. progrep works in client-server model. The server can be installed in your simulation source code with only 4 extra lines (API). ... -
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CASUP
Cellular Automata library for SUPercomputers (CASUP)
CASUP is a Cellular Automata (CA) library for HPC and supercomputers. It can be used in materials science (microstructure evolution, grain coarsening, fracture etc.), physics (Ising magnetisation) and for many other CA. If you use the library, please reference it as: A. Shterenlikht, L. Margetts, Three-dimensional cellular automata modelling of cleavage propagation across crystal boundaries in polycrystalline microstructures, Proc. -
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coarrays
A free Fortran 2008, 2018 coarrays course with notes and exercises
...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 Fortran users. Working knowledge of Fortran is assumed. The course is designed for a 1 day study with an instructor. Multiple exercises with full solutions are accompanied by notes. This course is taught to the University of Bristol HPC users. Exercises have been verified with Intel and GCC/OpenCoarrays. ... -
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X10
Performance and Productivity at Scale
...Both its modern, type-safe sequential core and simple programming model for concurrency and distribution contribute to making X10 a high-productivity language in the HPC and Big Data spaces. User productivity is further enhanced by providing tools such as an Eclipse-based IDE (X10DT). Implementations of X10 are available for a wide variety of hardware and software platforms ranging from laptops, to commodity clusters, to supercomputers. -
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IPS Framework
A simple Python framework for loosely-coupled multiphysics simulations
The IPS Framework has migrated to https://github.com/HPC-SimTools/IPS-framework The IPS framework was developed to support loosely-coupled integrated modeling of fusion plasmas (and was originally the Integrated Plasma Simulator). However, the design is quite general, and is suitable for many scientific and engineering domains. In addition to plasma physics, it is also being used in the engineering of batteries. -
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CRAFT HPC Floating-point Analysis
CRAFT: Configurable Runtime Analysis for Floating-point Tuning
CRAFT (Configurable Runtime Analysis for Floating-point Tuning) for HPC (High-Performance Computing) uses binary instrumentation to perform runtime analysis of floating-point code, detecting cancellations and making precision level recommendations. NOTE: THIS PROJECT HAS MOVED TO GITHUB!!!! https://github.com/crafthpc/craft -
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Making the tools of annotation languages, source-to-source code transformation and code generation more useful and accessible to the developers of scientific and engineering software for high-performance computers.
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LaunchMON is a software infrastructure that enables HPC run-time tools to co-locate tool daemons with a parallel job. Its API allows a tool to identify all the remote processes of a job and to scalably launch daemons into the relevant nodes.
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NUDA (= Nemerle Unified Device Architecture) is a set of extensions for Nemerle programming language to facilitate GPU programming and writing HPC applications. Its main purpose is to experiment with extensible languages for HPC applications
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC
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A portable C++ library of multi-threaded STL algorithms (transform, accumulate...) using standard containers and iostreams. Thread, mutex, spinlock are templatized. Close to Intel Threading Building Blocks, HPC++ or PSTL. Idea of A.Stepanov and M.Austen.
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ORC-OpenMP is an OpenMP patch package for ORC, which enables ORC as an OpenMP compiler for Linux/IA-64. It intends to provide a basic research environment for further researches on OpenMP and other HPC related topics.
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This is an umbrella project for applications on Cell Broadband Engine. The categories under the Cell/B.E. Umbrella will be Digital Media, DCC, EDA, Financial Services, Imaging, Life Sciences, A&D, Seismic, HPC, Bioinformatics, Video Surveillance, Misc
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