A framework for Smoothed Particle Hydrodynamics in Python
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Updated
Oct 26, 2025 - Python
A framework for Smoothed Particle Hydrodynamics in Python
A C++17 message passing library based on MPI
Codebase topic modeling using GNNs(Node aggregation and clustering)
Computational Fluid Dynamics, Waves, Reactions, Plasmas
Distributed training of DNNs • C++/MPI Proxies (GPT-2, GPT-3, CosmoFlow, DLRM)
Overview and detailed dicussion about parallel volume rendering on a cluster. We describe algorithms, optimalization techniques and challenges for real time rendering of big data on high performance clusters.
Message passing infrastructure for Rust.
A benchmark suite to evaluate MPI correctness tools.
Cannon Algorithm Implementation for matrix multiplication using MPI
Coding On The Spot Sistem Pararel Terdistribusi
This program implements a histogram using MPI and OpenMP to analyze a dataset containing group ages that watch a TV show. The goal is to calculate statistics about the groups of age and generate a frequency histogram.
Materiale Progetto Calcolo parallelo e distribuito
Graph: Representation, Learning, and Inference Methods
typed-message-transport is a TypeScript-based library designed for handling strongly-typed message exchanges between different environments, such as browser workers or Node.js processes. This library facilitates sending and receiving messages with a clear structure and type safety, using message channels. ex) WebSocket, RTCDataChannel, MessagePort
Fox‘s algorithm is a parallel matrix multiplication function, which distributes the matrix using a checkerboard scheme.
C++11 inter-thread message passing library
A collection of Fortran modules and subroutines for scientific computing
📨 Several problems and their solutions in distributed systems area, solved using MPI
It's a high-performance computing program that utilizes MPI to process a list of student grades in parallel and determine which students have passed the exam and which ones need to repeat it.
Set up and run an MPI (Message Passing Interface) cluster using Docker containers. Includes example MPI applications in C and C++, with scripts and configurations for easy deployment and testing of parallel computing workloads.
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