high performance computing on graphics processing units: hgpu.org

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Performance Evaluation of Quicksort with GPU Dynamic Parallelism for Gene-Expression Quantile Normalization

Roberto Pinto Souto, Carla Osthoff, Douglas Augusto, Oswaldo Trelles, Ana Tereza Ribeiro de Vasconcelos

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Sorting, Tesla K20

May 29, 2014 by hgpu

SMCGen: Generating Reconfigurable Design for Sequential Monte Carlo Applications

Thomas C.P. Chau, Maciej Kurek, James S. Targett, Jake Humphrey, George Skouroupathis, Alison Eele, Jan Maciejowski, Benjamin Cope, Kathryn Cobden, Philip Leong, Peter Y.K. Cheung, Wayne Luk

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Source codes

Tags: Algorithms, Computer science, CUDA, FPGA, Machine learning, nVidia, Package, Tesla C2070

May 29, 2014 by hgpu

Efficient Algorithm for RSA Text Encryption Using CUDA-C

Sonam Mahajan, Maninder Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, Security

May 26, 2014 by hgpu

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

Filip Jeremic, Sanzheng Qiao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 660

May 26, 2014 by hgpu

GPU vs FPGA: A Comparative Analysis for Non-standard Precision

Umar Ibrahim Minhas, Samuel Bayliss, George A. Constantinides

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Tags: Algorithms, Computer science, CUDA, Extended precision, FPGA, nVidia, Tesla C1060

May 25, 2014 by hgpu

Parallel Computation of Functions on Set Partitions

Chetan Rokhade

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Thesis

May 25, 2014 by hgpu

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng

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Tags: Algorithms, CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, Tesla K20

May 23, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

A combined MPI-CUDA parallel solution of linear and nonlinear Poisson-Boltzmann equation

Jose Colmenares, Antonella Galizia, Jesus Ortiz, Andrea Clematis, Walter Rocchia

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Tags: Algorithms, Biology, Boltzmann equation, CUDA, Electrostatic potential, Electrostatics, Heterogeneous systems, Macromolecule, MPI, nVidia, nVidia GeForce GTX 580, Poisson Boltzmann, Tesla C2075

May 21, 2014 by hgpu

2-D Impulse Noise Suppression by Recursive Gaussian Maximum Likelihood Estimation

Yang Chen, Jian Yang, Huazhong Shu, Luyao Shi, Jiasong Wu, Limin Luo, Jean-Louis Coatrieux, Christine Toumoulin

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 465

May 21, 2014 by hgpu

Multi-GPU Accelerated Parallel Algorithm of Wallis Transformation for Image Enhancement

Han Xiao, Yu-Pu Song, Qing-Lei Zhou

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 580, Sensing

May 20, 2014 by hgpu

Parallel Approaches to Edit Distance and Approximate String Matching

Cary Yang, Kevin Zhang

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

May 20, 2014 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

Programming

Performance Evaluation of Quicksort with GPU Dynamic Parallelism for Gene-Expression Quantile Normalization

SMCGen: Generating Reconfigurable Design for Sequential Monte Carlo Applications

Efficient Algorithm for RSA Text Encryption Using CUDA-C

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

GPU vs FPGA: A Comparative Analysis for Non-standard Precision

Parallel Computation of Functions on Set Partitions

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

Vector Quantization: A Many-Core Approach

A combined MPI-CUDA parallel solution of linear and nonlinear Poisson-Boltzmann equation

2-D Impulse Noise Suppression by Recursive Gaussian Maximum Likelihood Estimation

Multi-GPU Accelerated Parallel Algorithm of Wallis Transformation for Image Enhancement

Parallel Approaches to Edit Distance and Approximate String Matching

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)