Fast, reproducible, and portable software development environments
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Updated
Dec 8, 2021 - Dockerfile
Fast, reproducible, and portable software development environments
Remote development on HPC clusters with VSCode
Matrix multiplication example performed with OpenMP, OpenACC, BLAS, cuBLABS, and CUDA
Accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.
A simple and understandable CUDA kernel for batch-matmul operation
Repository for Architecture of computers and parallel systems course on VŠB
University Project for "Computer Architecture" course (MSc Computer Engineering @ University of Pisa). Implementation of a Parallelized Nearest Neighbor Upscaler using CUDA.
Performance test for K-Means written from scratch in CUDA
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