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accelerated-computing

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NVIDIA /cccl

CUDA Core Compute Libraries

cpp hpc gpu modern-cpp parallel-computing cuda nvidia gpu-acceleration cuda-kernels gpu-computing parallel-algorithm parallel-programming nvidia-gpu gpu-programming cuda-library cpp-programming cuda-programming accelerated-computing cuda-cpp

UpdatedDec 18, 2025
C++

itzmeanjan /ff-gpu

Finite Field Operations on GPGPU

gpu opencl parallel-computing cuda vectorization number-theoretic-transform sycl ntt zk-starks finite-field-arithmetic accelerated-computing oneapi dpcpp finite-field rescue-prime

UpdatedJul 23, 2023
C++

cjerzak /fastrerandomize-software

FastRerandomize: Rerandomization Using Accelerated Computing

balance distance-measures hardware-acceleration accelerated-computing rerandomization

UpdatedDec 14, 2025
R

SousaPedroso /CUDA

My solutions for NVIDIA course Fundamentals of Accelerated Computing with CUDA C/C++

gpu cuda accelerated-computing

UpdatedJan 27, 2023
Cuda

shumbul /Accelerated-Computing

Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.

cuda nvidia high-performance-computing accelerated-computing unified-memory

UpdatedOct 9, 2020
Cuda

axelvanherle /imgConvolutionCuda-C

Written by Sem Kirkels, Nathan Bruggeman and Axel Vanherle. Grayscales an image, applies convolution, maximum pooling and minimum pooling.

png cuda image-processing convolution grayscale maxpooling pooling accelerated-computing minpooling

UpdatedFeb 20, 2023
Jupyter Notebook

z1skgr /SIMD-instruction-MPI-PTHREADS-parallism

Parallelism standards for accelerating performance on calculations for detection of positive DNA selection

linux mpi intel sse pthreads simd-instructions parallel-programming intel-intrinsics accelerated-computing memory-layout

UpdatedNov 19, 2024
C

Kassouley /RATELProf

AMD GPU Profiler for ROCm compatible GPU.

ai hpc profiler amd gpu openmp mpi hip gpu-computing profiling hsa accelerated-computing

UpdatedNov 21, 2025
C

cepdnaclk /e16-4yp-Acceleration-of-DTW-algorithm-for-real-time-nanopore-selective-sequencing-using-GPUs

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.

dynamic-time-warping oxford-nanopore dna-sequencing accelerated-computing

UpdatedFeb 22, 2023

Paperspace /CORE-API-Docs

Paperspace CORE API Documentation

nodejs http cloud rest-api virtual-machine virtualization iaas api-client vpc virtual-desktop gpu-computing vdi paperspace paperspace-api paperspace-machines accelerated-computing h264-encoder

UpdatedAug 12, 2021

max-nigri /logic-simulation-engine

this is the results of 2 years of development of the first logic simulator that is based on HW instead of SW. Project by Max Nigri

asic fpga verilog logic-design logic-simulator accelerated-computing max-nigri accelerated-logic-simulator

UpdatedDec 4, 2025
Verilog

jman4162 /Accelerated-Python-Computing-for-ML-Applications

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.

python numpy cuda numba jit-compiler numpy-tutorial numpy-arrays accelerated-computing numba-jit-compiler polars-dataframe

UpdatedOct 9, 2024
Jupyter Notebook

HROlive /Fundamentals-of-Accelerated-Computing-with-CUDA-Python

Fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler.

python cuda jit nvidia numba cuda-programming accelerated-computing

UpdatedJan 20, 2025
Jupyter Notebook

abhilash1910 /My-Talks-and-Sessions

Talks and Presentations on Deep Learning principles,models and architectures

nlp framework deep-learning tensorflow transformers pytorch quantum-machine-learning accelerated-computing gpt-3 chatgpt

UpdatedAug 18, 2025

HROlive /Fundamentals-of-Accelerated-Data-Science

How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.

python data-science jupyter numpy pandas xgboost bokeh dask cupy rapids cudf cuml accelerated-computing cugraph

UpdatedJul 23, 2025
Jupyter Notebook

mjkim1001 /asc19-project

Advance Statistical Computing, 2019, Seoul National University

julia scientific-computing gibbs-sampling accelerated-computing

UpdatedJan 18, 2023
Jupyter Notebook

DobDan42 /MSc_parallel_prog_2025_lab7

Repository of the lab7 assignment for the Parallel Programming course.

gpu openmp accelerated-computing data-locality data-region

UpdatedJul 3, 2025
C++

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