high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Hand Tracking based on Hierarchical Clustering of Range Data

Roberto Cespi, Andreas Kolb, Marvin Lindner

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Tags: Algorithms, Clustering, Computer science, Computer vision, Hierarchical clustering, nVidia, nVidia GeForce GTX 480, Pattern recognition

October 26, 2011 by hgpu

Design and Implementation of GPU-Based Prim’s Algorithm

Wei Wang, Yongzhong Huang, Shaozhong Guo

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

October 25, 2011 by hgpu

Parallel Execution of AES-CTR Algorithm Using Extended Block Size

Nhat-Phuong Tran, Myungho Lee, Sigwon Hong

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Security

October 25, 2011 by hgpu

An Evolutionary Optimization Strategy Using Graphics Processing Units to Efficiently Investigate Gene-Gene Interactions in Genetic Association Studies

Joel B. Fontanarosa, Yang Dai

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Tags: Algorithms, Biology, CUDA, Evolutionary Computations, Genetics, nVidia, nVidia GeForce GTX 470, Optimization

October 25, 2011 by hgpu

Parallel Implementation of Devanagari Text Line and Word Segmentation Approach on GPU

Brijmohan Singh, Nitin Gupta, Rashi Tyagi, Ankush Mitta, Debashish Ghosh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Pattern recognition

October 24, 2011 by hgpu

Breaking DVB-CSA

Erik Tews, Julian Walde, Michael Weiner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenCL, Security

October 24, 2011 by hgpu

ASAMgpu V1.0-a moist fully compressible atmospheric model using graphics processing units (GPUs)

S. Horn

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Tags: Algorithms, Earth and Space Sciences, Geoscience, GLSL, OpenGL, Weather prediction

October 24, 2011 by hgpu

Using OpenCL for Implementing Simple Parallel Graph Algorithms

Michael J. Dinneen, Masoud Khosravani, Andrew Probert

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, OpenCL, Tesla C2050

October 24, 2011 by hgpu

Optimizing a Near-duplicate Document Detection System with SIMD Technologies

Xinpan Yuan, Jun Long, Hao Zhang, Zuping Zhang, Weihua Gui

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Tags: Algorithms, Clustering, Computer science, nVidia, nVidia GeForce 8600 GT, OpenCL, Optimization

October 24, 2011 by hgpu

A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

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

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 465, Raytracing, Rendering, Virtual reality

October 23, 2011 by hgpu

Design and Implementation of Centrally-Coordinated Peer-to-Peer Live-streaming

Roberto Roverso

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Tags: Algorithms, Computer science, Consensus, CUDA, Network communications, Networks, nVidia, nVidia GeForce GTX 295, Optimization, Thesis

October 23, 2011 by hgpu

Power and Performance Studies of the Explicit Multi-Threading (XMT) Architecture

Fuat Keceli

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Source codes

Tags: Algorithms, ASIC, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Package, Performance, Thesis

October 23, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Hand Tracking based on Hierarchical Clustering of Range Data

Design and Implementation of GPU-Based Prim’s Algorithm

Parallel Execution of AES-CTR Algorithm Using Extended Block Size

An Evolutionary Optimization Strategy Using Graphics Processing Units to Efficiently Investigate Gene-Gene Interactions in Genetic Association Studies

Parallel Implementation of Devanagari Text Line and Word Segmentation Approach on GPU

Breaking DVB-CSA

ASAMgpu V1.0-a moist fully compressible atmospheric model using graphics processing units (GPUs)

Using OpenCL for Implementing Simple Parallel Graph Algorithms

Optimizing a Near-duplicate Document Detection System with SIMD Technologies

A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

Design and Implementation of Centrally-Coordinated Peer-to-Peer Live-streaming

Power and Performance Studies of the Explicit Multi-Threading (XMT) Architecture

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)