YoVDO

Parallel Computing Courses

Python in Parallel: Sub-Interpreters vs. NoGIL vs. Multiprocessing
EuroPython Conference via YouTube
Quantum Algorithms and Parallel Architectures - New Results and Summary
ChemicalQDevice via YouTube
Parallel Quantum Algorithms Innovation: PyTorch, Keras, and QiML
ChemicalQDevice via YouTube
Distributed Training for Efficient Machine Learning - Part II - Lecture 18
MIT HAN Lab via YouTube
Distributed Training - Part I - Lecture 17
MIT HAN Lab via YouTube
Distributed Training for Efficient Machine Learning - Part I - Lecture 17
MIT HAN Lab via YouTube
TorchSparse++ - Efficient Training and Inference Framework for Sparse Convolution on GPUs
MIT HAN Lab via YouTube
Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS
Toronto Machine Learning Series (TMLS) via YouTube
Modular Language Models: Addressing Limitations of Dense Training
USC Information Sciences Institute via YouTube
Machine Learning with Apache Beam
All Things Open via YouTube
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