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A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Zheng Wei, Joseph JaJa

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Heterogeneous systems, nVidia, Tesla C1060

December 28, 2011 by hgpu

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Jason Chang, Mi-Yen Yeh

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

December 28, 2011 by hgpu

Precomputed compressive sensing for light transport acquisition

Satoshi Yamamoto, Yasumasa Itakura, Masashi Sawabe, Gimpei Okada, Toshiya Nakaguchi, Norimichi Tsumura

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Tags: CUDA, nVidia, Optics, Physics, Sensing, Tesla C1060

December 28, 2011 by hgpu

Efficient parallel lists intersection and index compression algorithms using graphics processing units

Naiyong Ao, Fan Zhang, Di Wu, Douglas S. Stones, Gang Wang, Xiaoguang Liu, Jing Liu, Sheng Lin

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Tags: Algorithms, Compression, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

December 28, 2011 by hgpu

PFAC Library: GPU-based string matching algorithm

Chen-Hsiung Liu, Lung-Sheng Chien, Shih-Chieh Chang, Wing-Kai Hon

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, String matching

December 27, 2011 by hgpu

A GPU Accelerated High Performance Cloud Computing Infrastructure for Grid Computing Based Virtual Environmental Laboratory

Francisco Giunta, Raffaele Montella, Giuliano Laccetti, Florin Isaila, Francisco Javier Garcia Blas

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Tags: Cloud, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 9400 GT, Security, Virtualization

December 27, 2011 by hgpu

Enabling New Uses for GPUs

Matthew D. Sinclair

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

December 27, 2011 by hgpu

A GPU implementation of EGSnrc’s Monte Carlo photon transport for imaging applications

Jonas Lippuner, Idris A Elbakri

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Tags: CUDA, Medical Physics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Physics, Pseudo-random number generators

December 27, 2011 by hgpu

MIDeA: a multi-parallel intrusion detection architecture

Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Pattern Search, Security

December 27, 2011 by hgpu

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

Parallel Algorithms for GPU accelerated Probabilistic Inference

Nico Piatkowski

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050

December 27, 2011 by hgpu

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Mikolaj Mackowiak, Krzysztof Kurowski, Aleksandr Igumenov

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Hybrid computing, MPI, nVidia, Optimization, Package

December 27, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Monitoring Multiple Streams with Dynamic Time Warping using Graphic Processors

Precomputed compressive sensing for light transport acquisition

Efficient parallel lists intersection and index compression algorithms using graphics processing units

PFAC Library: GPU-based string matching algorithm

Enabling New Uses for GPUs

A GPU implementation of EGSnrc’s Monte Carlo photon transport for imaging applications

MIDeA: a multi-parallel intrusion detection architecture

GPU-accelerated Chemical Similarity Assessment for Large Scale Databases

Parallel Algorithms for GPU accelerated Probabilistic Inference

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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