Search Results for "c++ parallelism"
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Showing 41 open source projects for "c++ parallelism"
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MyDumper
MyDumper project
MyDumper is a MySQL Logical Backup Tool. It has 2 tools. mydumper which is responsible to export a consistent backup of MySQL databases. myloader reads the backup from mydumper, connects the to destination database and imports the backup. Both tools use multithreading capabilities. MyDumper is Open Source and maintained by the community, it is not a Percona, MariaDB or MySQL product. Parallelism (hence, speed) and performance (avoids expensive character set conversion routines, efficient code... -
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cuDF
GPU DataFrame Library
... with conda (miniconda, or the full Anaconda distribution) from the rapidsai channel. cuDF is supported only on Linux, and with Python versions 3.7 and later. The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. -
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OneFlow
OneFlow is a deep learning framework designed to be user-friendly
... distributed expansion. It adheres to the core concept and architecture of static compilation and streaming parallelism and solves the memory wall challenge at the cluster level. world-leading level. Provides a variety of services from primary AI talent training to enterprise-level machine learning lifecycle integrated management (MLOps), including AI training and AI development, and supports three deployment modes of public cloud, private cloud and hybrid cloud. -
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Puma
A Ruby/Rack web server built for concurrency
Unlike other Ruby Webservers, Puma was built for speed and parallelism. Puma is a small library that provides a very fast and concurrent HTTP 1.1 server for Ruby web applications. It is designed for running Rack apps only. What makes Puma so fast is the careful use of a Ragel extension to provide fast, accurate HTTP 1.1 protocol parsing. This makes the server scream without too many portability issues. If you are using Bundler, just add Puma to your project's Gemfile. Once you've installed your... -
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This is a basic, low-level library with pretensions to implementing features above and beyond (but not necessarily better than!) those implemented within the Standard C++ Library and the Boost Library. In particular data-flow based parallelism and a FIX-to Exchange-Protocol message translator that is blindingly fast!
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Apache MXNet (incubating)
A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable. -
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Vector Pascal is a language targeted at SIMD multi-core instruction-sets such as the AVX and SSE2 or x86-64-v3. It has a SIMD compiler which supports parallel vector operations, loop unrolling, common sub expression removal etc. It is implemented in Java.
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BMDFM
Binary Modular DataFlow Machine (BMDFM)
Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program. The BMDFM dynamic scheduling subsystem performs a symmetric... -
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DRT
Dataflow Run Time
... development of a good compiler that targets such interface on one side, and to allow for a good architectural support of such API too: ideally each function could map to a Thread-Level-Parallelism Instruction Set Extension (TLP ISE). -
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SPar: Stream Parallelism in Multi-Cores
An Embedded C++ Domain-Specific Language
SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar -
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X10
Performance and Productivity at Scale
X10 is a class-based, strongly-typed, garbage-collected, object-oriented language. To support concurrency and distribution, X10 uses the Asynchronous Partitioned Global Address Space programming model (APGAS). This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous parallelism... -
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FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity... -
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NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.
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Extended Memory Semantics (EMS)
Persistent shared object memory and parallelism for Node.js and Python
EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using... -
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LightPCC
Parallel pairwise correlation computation on Intel Xeon Phi clusters
The first parallel and distributed library for pairwise correlation/dependence computation on Intel Xeon Phi clusters. This library is written in C++ template classes and achieves high speed by exploring the SIMD-instruction-level and thread-level parallelism within Xeon Phis as well as accelerator-level parallelism among multiple Xeon Phis. To facilitate balanced workload distribution, we have proposed a general framework for symmetric all-pairs computation by building provable bijective... -
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Postgres-XL is a PostgreSQL-based scale-out cluster that handles both OLTP write intensive workloads as well as OLAP/BI type of workloads thanks to MPP parallelism. Postgres-XL is fully ACID and supports cluster-wide Multi-version Concurrency Control (MVCC) for global consistency and performance. There are commercial companies such as 2ndQuadrant, who provide support and consulting around Postgres-XL. Please visit http://2ndquadrant.com/en/resources/postgres-xl/ for more details.
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The Rope Java Virtual Machine implements the Rope model which is a novel thread level speculative execution model called Rushing Object Parallel Environment. This is a research project aimed at exploiting parallelism in traditional object oriented programs.
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GMES
GMES is a free Python package for FDTD electromagnetic simulations.
GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST Maxwell’s... -
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Parallel Quicksort with MPI
Parallel Quicksort with MPI
Sorting is used in human activities and devices like personal computers, smart phones, and it continues to play a crucial role in the development of recent technologies. The QuickSort algorithm has been known as one of the fastest and most efficient sorting algorithm. It was invented by C.A.R Hoare in 1961and is using the divide-and-conquer strategy for solving problems [3]. Its partitioning aspects make QuickSort amenable to parallelization using task parallelism. MPI is a message passing... -
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PLUTO is an automatic source-to-source transformer that can optimize nested loop sequences for coarse-grained parallelism and cache locality simultaneously. OpenMP parallel code for multicores can be generated from regular C program sections. Version
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Dual State Framework
C++ parallel programing framework
This is a framework for making games easier to parallelize. It uses the “Active Objects” paradigm and also two copies of state to allow for non-blocking deterministic parallelism. -
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Spherical Harmonics Manipulator
Software to make fast synthesis of spherical harmonics global models
This software computes synthesis of spherical harmonics models on sparse coordinates or grids (provided in a geodetic or geocentric reference system). It exploits basic parallelism using openmp directives. A solution with MPI has not be taken into account since it cannot be so easily manageble by final users. -
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MICA-aligner
Next-generation sequencing short reads aligner based on Intel® MIC
Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity... -
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Intel(R) CnC
Parallelism without the Pain
CnC makes it easy to write C++ programs which take full advantage of the available parallelism. Whether run on multicore systems, Xeon Phi™ or clusters CnC will seamlessly exploit the performance potential of your hardware. Through its portabilty and composability (with itself and other tools) it provides future-proof scalability. Intel© Concurrent Collections for C++ is a C++ template library for letting C++ programmers implement CnC applications which run in parallel on shared... -
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MThreaded/OO NIST Statistical Suite
Multithreaded & OO NIST Statistical Test Suite (C++ version)
This project is a Multithreaded & OO C++ version of NIST Statistical Test Suite which has been developed by Juan Soto in 1999. This is object oriented so that you can use it easily in your programs. Also you can use the power of parallelism cause it is multithreaded. Enjoy it!