accelerated-computing
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Finite Field Operations on GPGPU
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Jul 23, 2023 - C++
My solutions for NVIDIA course Fundamentals of Accelerated Computing with CUDA C/C++
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Jan 27, 2023 - Cuda
Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.
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Oct 9, 2020 - Cuda
Written by Sem Kirkels, Nathan Bruggeman and Axel Vanherle. Grayscales an image, applies convolution, maximum pooling and minimum pooling.
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Feb 20, 2023 - Jupyter Notebook
Parallelism standards for accelerating performance on calculations for detection of positive DNA selection
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Nov 19, 2024 - C
Paperspace CORE API Documentation
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Aug 12, 2021
The project aims to optimize the Dynamic Time Warping (DTW) algorithm and accelerate it using Graphics Processing Units (GPUs), So that algorithm can be executed in a GPU-equipped laptop or a GPU-equipped embedded device like NVIDIA Jetson, rather than connecting to a massive server.
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Feb 22, 2023
This repository contains an advanced tutorial on optimizing Python code for machine learning applications, focusing on processing large amounts of data efficiently. It covers three powerful libraries: Numba, NumPy, and Polars.
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Oct 9, 2024 - Jupyter Notebook
Talks and Presentations on Deep Learning principles,models and architectures
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Aug 18, 2025
Advance Statistical Computing, 2019, Seoul National University
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Jan 18, 2023 - Jupyter Notebook
Fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler.
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Jan 20, 2025 - Jupyter Notebook
Repository of the lab7 assignment for the Parallel Programming course.
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Jul 3, 2025 - C++
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