high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Large-scale FFT on GPU clusters

Yifeng Chen, Xiang Cui, Hong Mei

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Programming techniques, Tesla C1060

December 18, 2010 by hgpu

GPU clusters for high-performance computing

Volodymyr V. Kindratenko, Jeremy J. Enos, Guochun Shi, Michael T. Showerman, Galen W. Arnold, John E. Stone, James C. Phillips, Wen-mei Hwu

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla S1070

December 18, 2010 by hgpu

Accelerating SQL Database Operations on a GPU with CUDA

Peter Bakkum, Kevin Skadron

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, Tesla C1060

December 18, 2010 by hgpu

GPU-based Island Model for Evolutionary Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talb

View

Download (PDF)

Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 280, Optimization

December 18, 2010 by hgpu

Accelerating K-Means on the Graphics Processor via CUDA

Mario Zechner, Michael Granitzer

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9600 GT

December 18, 2010 by hgpu

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

Aditi Rathi, Michael DeBole, Weina Ge, Robert T. Collins, N. Vijaykrishnan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 18, 2010 by hgpu

A Cross-Input Adaptive Framework for GPU Programs Optimization

Yixun Liu, Eddy Z. Zhang, Xipeng Shen

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

December 18, 2010 by hgpu

Fast Software AES Encryption

Dag Osvik, Joppe Bos, Deian Stefan, David Canright

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 295, Security

December 17, 2010 by hgpu

A New Parallel Method of Smith-Waterman Algorithm on a Heterogeneous Platform

Bo Chen, Yun Xu, Jiaoyun Yang, Haitao Jiang

View

Download (PDF)

Tags: Biology, CUDA, nVidia, nVidia GeForce 9800 GT, Sequence alignment, Smith-Waterman algorithm

December 17, 2010 by hgpu

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

Qianqian Fang, David A. Boas

View

Download (PDF)

Source codes

Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 17, 2010 by hgpu

GPU Accelerated RNA Folding Algorithm

Guillaume Rizk, Dominique Lavenier

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Tesla C870

December 17, 2010 by hgpu

GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package, Presentation, Programming techniques

December 17, 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

* * *

high performance computing on graphics processing units: hgpu.org

Large-scale FFT on GPU clusters

GPU clusters for high-performance computing

Accelerating SQL Database Operations on a GPU with CUDA

GPU-based Island Model for Evolutionary Algorithms

Accelerating K-Means on the Graphics Processor via CUDA

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

A Cross-Input Adaptive Framework for GPU Programs Optimization

Fast Software AES Encryption

A New Parallel Method of Smith-Waterman Algorithm on a Heterogeneous Platform

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

GPU Accelerated RNA Folding Algorithm

GPU Parallelization of Algebraic Dynamic Programming

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

Most viewed papers (last 30 days)