high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Real-time DVB-S2 LDPC decoding on many-core GPU accelerators

Gabriel Falcao, Joao Andrade, Vitor Silva, Leonel Sousa

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Tags: Algorithms, CUDA, nVidia, Parity-check codes, Signal processing, Tesla C2050

July 23, 2011 by hgpu

Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU

Juraj Vanek, Bedrich Benes, Adam Herout, Ondrej Stava

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce GTX 480, OpenGL, Physics-based simulation, Visualization

July 23, 2011 by hgpu

Importance Point Projection for GPU-based Final Gathering

David Maletz, Rui Wang

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Rendering

July 23, 2011 by hgpu

Variable Bit Rate GPU Texture Decompression

M. Olano, D. Baker, W. Griffin, J. Barczak

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Tags: 3D Graphics and Realism, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

July 23, 2011 by hgpu

GPU-accelerated atom and dynamic bond visualization using hyperballs: A unified algorithm for balls, sticks, and hyperboloids

Matthieu Chavent, Antoine Vanel, Alex Tek, Bruno Levy, Sophie Robert, Bruno Raffin, Marc Baaden

Tags: Algorithms, Chemistry, Macromolecule, Molecular modeling, Visualization

July 23, 2011 by hgpu

High-Performance Reverse Time Migration on GPU

Javier Cabezas, Mauricio Araya-Polo, Isaac Gelado, Nacho Navarro, Enric Morancho, Jose M. Cela

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Tags: CUDA, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

July 22, 2011 by hgpu

Living Flows: Enhanced Exploration of Edge-Bundled Graphs Based on GPU-Intensive Edge Rendering

Antoine Lambert, David Auber, Guy Melancon

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Tags: Clustering, Computer science, GLSL, nVidia, nVidia Quadro FX 1700 M, OpenGL, Rendering, Visualization

July 22, 2011 by hgpu

A novel parallel Tier-1 coder for JPEG2000 using GPUs

Roto Le, Iris R. Bahar, Joseph L. Mundy

Tags: Compression, Computer science, Image processing, JPEG2000, nVidia GeForce GTX 480, Wavelet

July 22, 2011 by hgpu

Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition

Li-Wen Chang, Men-Tzung Lo, Nasser Anssari, Ke-Hsin Hsu, Norden E. Huang, Wen-mei W. Hwu

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Tags: CUDA, nVidia, Signal processing, Tesla C2050

July 22, 2011 by hgpu

GPGPU-Accelerated Parallel and Fast Simulation of Thousand-Core Platforms

Christian Pinto, Shivani Raghav, Andrea Marongiu, Martino Ruggiero, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Shuai Che, Jeremy W. Sheaffer, Michael Boyer, Lukasz G. Szafaryn, Liang Wang, Kevin Skadron

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Tags: Benchmarking, CMP, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

Real time image reconstruction using GPUs for a surgical PET imaging probe system

S.S. Huh, Li Han, W.L. Rogers, N.H. Clinthorne

Tags: CUDA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GTX, PET, Tomography

July 22, 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

Applications

Real-time DVB-S2 LDPC decoding on many-core GPU accelerators

Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU

Importance Point Projection for GPU-based Final Gathering

Variable Bit Rate GPU Texture Decompression

GPU-accelerated atom and dynamic bond visualization using hyperballs: A unified algorithm for balls, sticks, and hyperboloids

High-Performance Reverse Time Migration on GPU

Living Flows: Enhanced Exploration of Edge-Bundled Graphs Based on GPU-Intensive Edge Rendering

A novel parallel Tier-1 coder for JPEG2000 using GPUs

Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition

GPGPU-Accelerated Parallel and Fast Simulation of Thousand-Core Platforms

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Real time image reconstruction using GPUs for a surgical PET imaging probe system

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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