high performance computing on graphics processing units: hgpu.org

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Parallelization of the Generalized Hough Transform on GPU

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Emilio L. Zapata, Nicolas Guil

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

November 3, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 by hgpu

GrIP: A Framework for Experiments with Screen Space Algorithms

Thorsten Roth, Andre Hinkenjann

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

November 3, 2011 by hgpu

Applicability of GPU Computing for Efficient Merge in In-Memory Databases

Jens Krueger, Martin Grund, Ingo Jaeckel, Alexander Zeier, Hasso Plattner

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Tags: Algorithms, Compression, Computer science, CUDA, Databases, nVidia, Tesla C2050

November 3, 2011 by hgpu

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Stefan Sommer

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 590, OpenCL

November 3, 2011 by hgpu

Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)

Tomas Zegard Latrach

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, Optimization, Tesla T10, Thesis

November 3, 2011 by hgpu

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

Tomasz Jurkiewicz, Piotr Danilewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting

November 3, 2011 by hgpu

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Pavel Kromer, Jan Platos, Vaclav Snasel, Ajith Abraham

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Tags: Algorithms, Computer science, CUDA, Differential evolution, Genetic programming, Metaheuristics, nVidia, Task scheduling, Tesla C2050

November 2, 2011 by hgpu

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Lancelot Perrotte, Bruno Bodin, Laurent Chodorge

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Tags: Algorithms, CUDA, Floating point error, Nuclear physics, nVidia, nVidia GeForce GTX 295, Physics, Raytracing

November 2, 2011 by hgpu

Finite Volume Errors in B_K

Jangho Kim, Hyung-Jin Kim, Weonjong Lee, Chulwoo Jung, Stephen R. Sharpe

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics

November 2, 2011 by hgpu

Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision

Yong-Chull Jang, Hyung-Jin Kim, Weonjong Lee

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Tags: Algorithms, Cg, Computational Physics, Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Mixed precision, nVidia, nVidia GeForce GTX 480, Physics

November 2, 2011 by hgpu

APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

Chris Cowdery-Corvan, Liangyi Fan, Thomas Knack

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Tags: Computer science, Computer vision, CUDA, nVidia

November 1, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallelization of the Generalized Hough Transform on GPU

True 4D Image Denoising on the GPU

GrIP: A Framework for Experiments with Screen Space Algorithms

Applicability of GPU Computing for Efficient Merge in In-Memory Databases

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

A Comparison of Many-threaded Differential Evolution and Genetic Algorithms on CUDA

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Finite Volume Errors in B_K

Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision

APHOG: A Framework for Fast Object Detection Using Histograms of Oriented Gradients

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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