Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook - based on executorlib
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Updated
Jun 12, 2026 - Python
Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook - based on executorlib
Examples for MPI Spawning and Splitting, and the differences between two implementations
Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.
Distributed_compy is a distributed computing library that offers multi-threading, heterogeneous (CPU + mult-GPU), and multi-node support
The Open CDAC HPC-AI Manager Tool (OpenCHAI) is a unified and modular automation framework designed to simplify and accelerate the deployment, configuration, and management of HPC and AI clusters. It seamlessly integrates provisioning, centralized authentication and authorization, automation, workload scheduling, orchestration, and monitoring.
This repository contain assignments for the subject of Distributed System.
Final project for High-Performance Computing. Explores serial vs. parallel processing (Multiprocessing & OpenMPI) applied to Data Engineering and Machine Learning workloads.
A high-performance Master-Slave structure with openMPI, simplifying multiprocessing in Python.
An application that uses stock price data and technical indicators for improved predictions, with serial and parallel backtesting to optimize trading strategies and enhance decision-making.
MPI-based distributed machine learning training system. Master-Worker architecture — dataset split across N processes, each trains independently, gradients synchronized via AllReduce.
MPI parallel computing learning project. Real cluster benchmarks, domain decomposition, performance analysis. Educational code & documentation.
Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis.
Python distributed memory API
High-performance 2D heat equation solver demonstrating MPI domain decomposition on a 24-core RHEL cluster. Includes comprehensive benchmarks and scaling analysis.
🎓 My labs from ITMO; Dis - PAASD
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