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Design and Performance Evaluation of Image Processing Algorithms on GPUs

In K. Park, Nitin Singhal, Man H. Lee, Sungdae Cho, Chris Kim

Tags: Computer vision, CUDA, Image processing, nVidia, OpenMP

November 19, 2010 by hgpu

Multi-dimensional characterization of temporal data mining on graphics processors

J. Archuleta, Yong Cao, T. Scogland, Wu-Chun Feng

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280

November 19, 2010 by hgpu

A two-level real-time vision machine combining coarse- and fine-grained parallelism

Lars Jensen, Anders Kjaer-Nielsen, Karl Pauwels, Jeppe Jessen, Marc Van Hulle, Norbert Kruger

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, OpenMP

November 19, 2010 by hgpu

Acceleration of the Smith-Waterman Algorithm using Single and Multiple Graphics Processors

Ali Khajeh-Saeed, Stephen Poole, J. Blair Perot

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 295, Sequence matching, Smith-Waterman algorithm

November 18, 2010 by hgpu

Parallel implementation of Artificial Neural Network training for speech recognition

Stefano Scanzio, Sandro Cumani, Roberto Gemello, Franco Mana, P. Laface

Tags: Computer science, CUDA, Neural networks, nVidia

November 18, 2010 by hgpu

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Dimitri Komatitsch, Dominik Goddeke, Gordon Erlebacher, David Michea

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Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, MPI, nVidia, Tesla C1070

November 18, 2010 by hgpu

Fault Table Computation on GPUs

Kanupriya Gulati, Sunil Khatri

Tags: Computer science, Fault simulation, nVidia, nVidia Quadro FX 5800

November 18, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Source codes

Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Wei W. Feng, Byung U. Kim, Yizhou Yu, Liang Peng, John Hart

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 18, 2010 by hgpu

Graphics processing unit–accelerated holography by simulated annealing

Joel Carpenter, Timothy D. Wilkinson

Tags: Computer holography, nVidia, nVidia GeForce GTX 260, Optics, Physics

November 18, 2010 by hgpu

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

Massimo Bernaschi, Massimiliano Fatica, Simone Melchionna, Sauro Succi, Efthimios Kaxiras

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8600 M GT, Tesla C870

November 18, 2010 by hgpu

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Xueming Li, Nikolaus Grigorieff, Yifan Cheng

Source codes

Tags: Biology, CUDA, Electron microscopy, Image reconstruction, nVidia, Package

November 18, 2010 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

Design and Performance Evaluation of Image Processing Algorithms on GPUs

Multi-dimensional characterization of temporal data mining on graphics processors

A two-level real-time vision machine combining coarse- and fine-grained parallelism

Acceleration of the Smith-Waterman Algorithm using Single and Multiple Graphics Processors

Parallel implementation of Artificial Neural Network training for speech recognition

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Fault Table Computation on GPUs

A GPGPU compiler for memory optimization and parallelism management

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Graphics processing unit–accelerated holography by simulated annealing

A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

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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