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Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Alexandru Pirjan, Dana-Mihaela Petrosanu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Sorting

March 7, 2013 by hgpu

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

Panagiotis D. Michailidis, Konstantinos G. Margaritis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques

March 2, 2013 by hgpu

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

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Tags: Chemistry, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

February 27, 2013 by hgpu

Utilizing Graphics Processing Units for Network Anomaly Detection

Jonathan D. Hersack

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 280, Security, Thesis

February 27, 2013 by hgpu

Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction

Sidi Ahmed Mahmoudi, Pierre Manneback

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 280, Pattern recognition, Tesla C1060

February 14, 2013 by hgpu

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

V. Galiano, O. Lopez-Granado, M.P. Malumbres, H. Migallon

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Optimization, Wavelet

February 9, 2013 by hgpu

Studies Concerning the ATLAS IBL Calibration Architecture

Moritz Kretz

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Tags: CUDA, Nuclear Experiment, nVidia, nVidia GeForce GT 480, nVidia GeForce GTX 280, nVidia Quadro FX 570 M, Physics, Thesis

January 31, 2013 by hgpu

GPU-based 3D Wavelet Transform

Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 280, Wavelet

January 24, 2013 by hgpu

Fast Sparse Level Sets on Graphics Hardware

Andrei C. Jalba, Wladimir J. van der Laan, Jos B.T.M. Roerdink

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

January 18, 2013 by hgpu

Two Approaches to Particle Simulation: OpenMPI and CUDA

Bjorn Christian Seime, Matteo Mannino, Terje Runde

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Tags: Computer science, CUDA, MPI, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenMPI, Particle simulation, Tesla C2050

January 15, 2013 by hgpu

Accelerating Topic Model Training on a Single Machine

Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao

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Tags: Computer science, CUDA, Information Retrieval, Latent Dirichlet allocation, nVidia, nVidia GeForce GTX 280

January 12, 2013 by hgpu

Optimal Image Upscaling Using Pixel Classification

G.Banupriya, C.R.Jerinsajeev

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

January 11, 2013 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Solutions For Optimizing The Radix Sort Algorithmic Function Using The Compute Unified Device Architecture

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Utilizing Graphics Processing Units for Network Anomaly Detection

Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

Studies Concerning the ATLAS IBL Calibration Architecture

GPU-based 3D Wavelet Transform

Fast Sparse Level Sets on Graphics Hardware

Two Approaches to Particle Simulation: OpenMPI and CUDA

Accelerating Topic Model Training on a Single Machine

Optimal Image Upscaling Using Pixel Classification

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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