high performance computing on graphics processing units: hgpu.org

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GPU-accelerated Chemical Similarity Assessment for Large Scale Databases

Marco Maggioni, Marco Domenico Santambrogio, Jie Liang

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Tags: Algorithms, Chemistry, CUDA, Databases, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 460, Optimization

December 27, 2011 by hgpu

Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization

Lu Zheng, Ole J. Mengshoel, Jike Chong

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Tags: Algorithms, Bayesian, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 460

December 26, 2011 by hgpu

Using Image Morphing for Memory-Efficient Impostor Rendering on GPU

Kamer Ali Yuksel, Aytul Ercil, Alp Yucebilgin, Selim Balcisoy

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 460, OpenGL, Real-time graphics, Rendering

December 23, 2011 by hgpu

Speed sign detection and recognition by convolutional neural networks

Maurice Peemen, Bart Mesman, Henk Corporaal

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 460

December 15, 2011 by hgpu

Collision-Driven Volumetric Deformation on the GPU

G. Aldrich, D. Pinskiy, B. Hamann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

December 13, 2011 by hgpu

Generalizing Execution of Vectorizable Computations by Generating Vector Oriented Byte Code

Troels Blum

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 210 M, nVidia GeForce GTX 460, Package, Python, Thesis

December 11, 2011 by hgpu

Graphics Processing Units for the Real-time Linear Elastostatic Simulation of Liver

Kirana Kumara P, Ashitava Ghosal

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Tags: FEM, Finite element method, GLSL, Medicine, nVidia, nVidia GeForce GTX 460, OpenGL, Real-time graphics, Rendering, Surgical simulation

December 8, 2011 by hgpu

Massively Parallel Identification of Intersection Points for GPGPU Ray Tracing

Alexandre S. Nery, Nadia Nedjah, Felipe M. G. Franca, Lech Jozwiak

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 465, Raytracing

December 6, 2011 by hgpu

Experiences with Achieving Portability across Heterogeneous Architectures

Lukasz G. Szafaryn, Todd Gamblin, Bronis R. de Supinski, Kevin Skadron

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, OpenMP, Performance

November 22, 2011 by hgpu

gSLIC: a real-time implementation of SLIC superpixel segmentation

Carl Yuheng Ren, Ian Reid

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Tags: Clustering, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Package

November 15, 2011 by hgpu

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Zhi Tang, Youjip Won

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460

November 12, 2011 by hgpu

Fast Hair Simulation and Rendering Using CUDA and OpenGL

Steve Lesser

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenGL, Rendering

November 10, 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

GPU-accelerated Chemical Similarity Assessment for Large Scale Databases

Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization

Using Image Morphing for Memory-Efficient Impostor Rendering on GPU

Speed sign detection and recognition by convolutional neural networks

Collision-Driven Volumetric Deformation on the GPU

Generalizing Execution of Vectorizable Computations by Generating Vector Oriented Byte Code

Graphics Processing Units for the Real-time Linear Elastostatic Simulation of Liver

Massively Parallel Identification of Intersection Points for GPGPU Ray Tracing

Experiences with Achieving Portability across Heterogeneous Architectures

gSLIC: a real-time implementation of SLIC superpixel segmentation

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Fast Hair Simulation and Rendering Using CUDA and OpenGL

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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