Accelerated GNN operations with CUDA, MPI, and multiprocessing, achieving up to 18.7× speedup.
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Updated
May 7, 2025 - Python
Accelerated GNN operations with CUDA, MPI, and multiprocessing, achieving up to 18.7× speedup.
Feniks iNVR DeepStack Service
This project tries fitting a curve using regression. It derives formulas from the linear model and each thread fit the data using a different formula. The formula with the smallest error function is used as visualization.
ATBU multiprocessing pipeline and global logging.
A persistive OpenCV Stream Reader, suitable for IoT devices
common multiprocess model for python
An advanced, inter-frame video compression suite featuring AI-accelerated Block Motion Estimation, Bi-Directional B-Frames, and a PyTorch-based Neural Super-Resolution (ESPCN) upscaler. Achieves extreme compression ratios (up to 213x) while maintaining visual fidelity using Perceptual Rate-Distortion Optimization (SSIM-based).
Модуль 3. Багатопоточність і процеси у Python
Concurrent implementation of image convolution filter using Python's multiprocessing
Full source code for thermal camera assisted baby monitor senior project developed for VESTEL Electronics.
Python template code for multiprocessing and parallel programming
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
Feniks iNVR Snapshot Service
A simple microservices project in Python to calculate an average in a distributed way, demonstrating observability with OpenTelemetry and Jaeger.
Avaliação Intermediária da disciplina de Sistemas Distribuído da Fatec, ministradas pelo professor Walter Matheos
Big Data project for ATS subject, basic parallel implementation of map-reduce paradigm with a test to count words in text files
Multiprocessing can be an effective way to speed up a time-consuming workflow via parallelization. This article illustrates how multiprocessing can be utilized in a concise way when implementing MapReduce-like workflows.
Simply a creator for image datasets.
we learn multi-threading on python with code
learning about multithreading and multiprocessing in Python
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