high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Yongjin Yeom, Yongkuk Cho, Moti Yung

Tags: Block Ciphers, Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTS, OpenGL, Security

April 8, 2011 by hgpu

Record Setting Software Implementation of DES Using CUDA

G. Agosta, A. Barenghi, F. De Santis, G. Pelosi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 250, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Security

April 8, 2011 by hgpu

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

Guibin Wang, Tao Tang, Xudong Fang, Xiaoguang Ren

Tags: Benchmarking, Brook, Computer science, CUDA, nVidia, Performance

April 8, 2011 by hgpu

CANSCID-CUDA

Michael Steffen, Veerendra Allada, Phillip Jones and Joseph Zambreno

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Python, String matching, Tesla

April 8, 2011 by hgpu

Shape Manipulation on GPU

Hongqian Chen, Tianyu Huang, Fengxia Li, Shouyi Zhan

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6600, OpenGL, Rendering

April 8, 2011 by hgpu

High throughput multiple-precision GCD on the CUDA architecture

N. Fujimoto

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

April 7, 2011 by hgpu

Program Optimization of Stencil Based Application on the GPU-Accelerated System

Guibin Wang, Xuejun Yang, Ying Zhang, Tao Tang, XuDong Fang

Tags: Computer science, Optimization

April 7, 2011 by hgpu

Using GPU to Accelerate Cache Simulation

Wan Han, Gao Xiaopeng, Wang Zhiqiang, Li Yi

Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Optimization

April 7, 2011 by hgpu

Accelerating Phase Correlation Functions Using GPU and FPGA

Kentaro Matsuo, Tsuyoshi Hamada, Masayuki Miyoshi, Yuichiro Shibata, and Kiyoshi Oguri

View

Download (PDF)

Tags: Computer science, CUDA, FFT, FPGA, Image registration, nVidia, nVidia GeForce 8800 GTS

April 7, 2011 by hgpu

A Neighborhood Grid Data Structure for Massive 3D Crowd Simulation on GPU

Mark Joselli, Erick Baptista Passos, Marcelo Zamith, Esteban Walter Gonzalez Clua, Anselmo Montenegro, Bruno Feijo

View

Download (PDF)

Tags: Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

April 7, 2011 by hgpu

Context-aware volume navigation

Stefan Diepenbrock, Timo Ropinski, Klaus Hinrichs

Tags: Computer science, OpenCL, Rendering, Visualization

April 7, 2011 by hgpu

Practical examples of GPU computing optimization principles

Goorts, Patrik; Rogmans, Sammy; Vanden Eynde, Steven; Bekaert, Philippe;

Tags: Computer science, CUDA, DirectCompute, nVidia, OpenCL, Programming techniques

April 7, 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

* * *

high performance computing on graphics processing units: hgpu.org

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Record Setting Software Implementation of DES Using CUDA

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

CANSCID-CUDA

Shape Manipulation on GPU

High throughput multiple-precision GCD on the CUDA architecture

Program Optimization of Stencil Based Application on the GPU-Accelerated System

Using GPU to Accelerate Cache Simulation

Accelerating Phase Correlation Functions Using GPU and FPGA

A Neighborhood Grid Data Structure for Massive 3D Crowd Simulation on GPU

Context-aware volume navigation

Practical examples of GPU computing optimization principles

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)