Search Results for "multicore"
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Showing 68 open source projects for "multicore"
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future
R package: future: Unified Parallel and Distributed Processing in R
...It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions, managing of packages, RNG, etc. Automatic detection and export of global objects and functions needed by future expressions, so the user doesn’t need to manage that manually. ... -
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Paint.NET
Downloads for Paint.NET, such as installer EXEs and portable ZIPs
...Extensive work has gone into making it the fastest image editor available. Starting the app is nearly instantaneous, and every feature has been thoroughly optimized to take advantage of the latest multicore CPUs, GPUs, and NVMe SSDs. The use of DXGI Flip Model ensures low input latency and reduced power consumption. Whether you have a power-conscious laptop or a monstrous desktop with a gigantic GPU, you can expect it to start up immediately, respond quickly to every mouse click, and take full advantage of all of your hardware. -
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SteelMC
A Minecraft server in Rust focused on a strong foundation
SteelMC is an independent Minecraft Java Edition server implementation written in Rust. It aims to reproduce vanilla behavior while using modern multicore processors more efficiently. Gameplay updates remain synchronous, while chunk generation, lighting, packet processing, and chunk transmission can run outside the main server tick. Players can join persistent multiplayer worlds, move, interact with blocks, manage inventories, use commands, chat, and return to previously saved areas. ... -
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TSNE-CUDA
GPU Accelerated t-SNE for CUDA with Python bindings
...Note the log scale on both the points and time axis, and that the scale of the x-axis is in thousands of points (thus, the values on the x-axis range from 1K to 10M points. Dashed lines on SkLearn, BH-TSNE, and MULTICORE-4 represent projected times. Projected scaling assumes an O(nlog(n)) implementation. -
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OpenCL.jl
OpenCL Julia bindings
...This package aims to be a complete solution for OpenCL programming in Julia, similar in scope to PyOpenCL for Python. It provides a high level API for OpenCL to make programing hardware accelerators, such as GPUs, FPGAs, and DSPs, as well as multicore CPUs much less onerous. -
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Codon
A high-performance, zero-overhead, extensible Python compiler
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. We actively develop Codon... -
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gensim
Topic Modelling for Humans
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community. -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the OmniSci platform (formerly MapD) and is commonly used for large-scale analytics and geospatial data processing. ... -
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MongoDB Rust Driver
The official MongoDB Rust Driver
...Because it’s asynchronous by design, it works well with Rust async runtimes like Tokio and async-std, letting developers build highly concurrent networked services that efficiently use modern multicore hardware. The crate also includes BSON encoding and decoding that maps cleanly to Rust types, so developers can work with rich document structures while retaining Rust’s performance guarantees. -
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CPU-Control
Control the operation of multicore processors
CPU-Control is a free Windows utility designed for users with multicore processors who want to optimize how their applications use CPU cores. It allows you to assign specific applications to run on one or multiple processors simultaneously, improving performance for programs that don’t efficiently use multiple cores by default. The tool offers granular control by letting you select exactly which processor will handle each running process. -
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Prime number ( primenumbers )
Benchmark for 50 000 000 prime numbers as single and multicore
Simple source files and compiled JAR Java programs, for benchmark 50 000 000 cycle finding prime numbers. On Intel(R) Core(TM) i5-8600K CPU, Windows 10 20H2, i have 39 second on single core and 7,6 second on multi core. (PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari: 12,5 sec single core and 3,3 sec multi core. Python version with numba and numpy on MacOS with M2: 3,78 sec, Intel Ultra 5 225F Linux Fedora 43 GNOME(*Intel): 3,64 sec., W11Intel: 3,73; Faster style in python, MacOS M2: 1,81 sec, *Intel & W11Intel: 2,02 sec.; Ultra faster style in python, MacOS M2: 1,24 s - 1,26 s - 1,34 s, *Intel: 1,48 s - 1,50 s, W11Intel: 1,53 - 1,63. -
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paraffin
Iterative and recursive parallelism generics for Ada 2005 and Ada 2012
A suite of Ada 2012 generics to facilitate iterative and recursive parallelism for multicore systems and provide safer recursion for single and multicore systems. Generics include Ravenscar compatible versions for real-time systems. Also Includes paraffinalia, which is a set of useful generics for parallel quicksort, fast fourier transform, function integration, prefix sum, and Red-Black trees -
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LDPartEditor
Create and edit LDraw™ parts quick and easy.
...Minimum System Requirements: - OpenGL 2.1 compatible Graphics Card - Operating System (64-bit): Windows [7 or newer], Mac OS X [>=14], Linux [e.g. Linux Mint >=22] - CPU: Multicore-Processor e.g. Intel Core 2 Duo or AMD Athlon II (>2.0Ghz) - RAM: 4 GB - Video-Memory: 1 GB - Free Disk Space: 150 MB Recommended Requirements: - OpenGL 3.3 compatible Graphics Card - Operating System (64-bit): Windows 7,8,10,11, Mac OS X [>=14], Linux [e.g. Linux Mint >=22] - CPU: Multicore-Processor with 4 cores (or more) - RAM: >4 GB - Video-Memory: >1 GB - Free Disk Space: 512 MB The sourcecode is now hosted on GitHub here: http://nilsschmidt1337.github.io/ldparteditor/ -
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QuickMAN is a Mandelbrot fractal generator with multicore support. ASM-optimized code can reach over 100 billion iterations per second. Features an easy-to-use GUI, realtime pan/zoom, multiple palettes, image logging, and saving in PNG format.
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LDPatternCreator
Create and edit patterned parts quick and easy.
... - RAM: 500 MB - Video-Memory: 256 MB - Free Disk Space: 5 MB - .NET-Framework (Version >= 2.0) Recommended Requirements: - Operating System: Windows 7 or 10 - CPU: Multicore-Processor e.g. Intel Core 2 Duo or AMD Athlon II (>=2,0Ghz) - RAM: >1.500 MB - Video-Memory: 256 MB - Free Disk Space: 100 MB - .NET-Framework (Version >= 2.0 until 1.4.7 / 4.0 for >1.5.0) Note to users of versions lesser than 1.5.7: You’ll need administrator privileges to install the software. -- Developed in Germany by Nils Schmidt - nilsschmidt1337 -
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ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
...You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. For configuration either autotools or CMake is employed. For Linux users, pre-built binary packages are available for most distributions. ... -
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winLAME
winLAME is an easy to use encoder for many audio formats, e.g. MP3.
...winLAME lets you read in audio tracks from CDs or encode audio files from your hard drive. The intuitive wizard-style user interface makes it easy to set up encoding settings. Multicore CPUs are used to parallelize encoding tasks. Official GitHub project webpage: https://github.com/vividos/winLAME -
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Thrust
The C++ parallel algorithms library
Thrust is the C++ parallel algorithms library which inspired the introduction of parallel algorithms to the C++ Standard Library. Thrust's high-level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. It builds on top of established parallel programming frameworks (such as CUDA, TBB, and OpenMP). 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. ... -
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FlacSquisher
A utility to convert a Flac library to MP3, Opus or Ogg Vorbis format.
FlacSquisher converts a library of Flac files to MP3, Opus, or Ogg Vorbis format, maintaining the directory structure in the original library. That way, you can maintain your Flac files for home listening, and easily convert them to MP3, Opus, or Ogg format for mobile use, where storage space is more often tightly constrained. -
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Giffit
Gif editor for frame animation
A gif animation tool that is fast (multicore) and keeps you privacy (open source) -
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...Just double click and let the music play .Written in easy fast compiled freebasic. a DLL version minimidi_chungDLL allows to launch the application in another thread than the main program to reduce cpu overhead (especially on multicore cpus) . minimidi2_chung is a mypiano_chung bass dll bass.dll version with virtual acoustic piano recorded on Isabelle's upright piano with a smartphone . The sounds reverb , chorus , and volume are variable with the number of played notes and the sustain switch, like a real piano.
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Accelerate
Embedded language for high-performance array computations
...Accelerate is a free, general-purpose, open-source library that simplifies the process of developing software that targets massively parallel architectures including multicore CPUs and GPUs. Embedded in the advanced functional programming language Haskell, Accelerate programs are declarative, statically-typed, pure, functional, and ready to exploit all of the performance of modern parallel hardware. The combination of a strong type system, high-level code, and interactive development environment, allows you to develop code quickly with the confidence that it is correct. -
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LoopMatcher
Find sequence-specific stem-loops in FASTA and GenBank files.
...Also, sequences in GenBank format can be downloaded directly from NCBI using the NCBI access ID. Requirements JAVA Runtime 8. It's highly recommended to have a multicore processor to process large sequences. * Currently, this version only runs in Windows x64. -
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...it plays with a random algorythm the midifiles in the "/automidi" folder (for now max 200 files) . autopiano runs on another thread than the main program to minimize overhead , especially on multicore cpus . to change midipiano sounds settings run /autopiano/brainpiano2_chung.exe
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Pharos
RTOS for Secure, Safe and Real-Time Systems
Pharos is a free open-source RTOS for secure, safe and real-time systems with the following characteristics: - Memory and enhanced time partitioning (TSP) - Native support for sporadic, periodic and aperiodic threads - Fixed-priority preemptive scheduler - Execution time protection (threads are prevented from executing for more time than they are configured to) - Small size (full image has ~100 to 300KiB text, ~30KiB data) - Hard real-time determinism - Fast critical sections - Prioritized nested interrupts - inter-partition communication with filters to protect unwanted access - Multicore support (RMP) - Supports ARM9, Cortex-A/R/M and Aarch64, RISC-V64 (64 bits) - The complete TestSuite (see below information) is run successfully for each platform in each release - Tested: more than 170 KLOC of requirement-based tests, executed for each board at each release - Up-to-date User Manual also available See our wiki page for more information.
