high performance computing on graphics processing units: hgpu.org

hgpu.org » Programming techniques

PConG: A novel platform available for pervasive computing based on GPU

Gang Chen, Guobo Li, Baifeng Wu, Songwen Pei

Tags: Computer science, Programming techniques

May 28, 2011 by hgpu

Speculative Execution on GPU: An Exploratory Study

Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot

Tags: Computer science, Performance, Programming techniques

May 25, 2011 by hgpu

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Guibin Wang

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Programming techniques

May 22, 2011 by hgpu

Compile-time GPU memory access optimizations

Gert-Jan van den Braak, Bart Mesman, Henk Corporaal

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Optimization, Programming techniques

May 17, 2011 by hgpu

Profiling General Purpose GPU Applications

Bruno Coutinho, George Teodoro, Rafael Sachetto, Dorgival Guedes, Renato Ferreira

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques

May 17, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

View

Download (PDF)

Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

An efficient GPU implementation of the revised simplex method

J. Bieling, P. Peschlow, P. Martini

Tags: Computer science, Programming techniques

April 20, 2011 by hgpu

Efficiently Using a CUDA-enabled GPU as Shared Resource

Hagen Peters, Martin Koper, Norbert Luttenberge

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Programming techniques

April 17, 2011 by hgpu

Automated development of applications for graphical processing units using rewriting rules

Anatoliy Yu. Doroshenko, Konstantin Zhereb

Tags: Code generation, Computer science, High-level Languages, Programming techniques

April 12, 2011 by hgpu

Scalable instruction set simulator for thousand-core architectures running on GPGPUs

Shivani Raghav, Martino Ruggiero, David Atienza, Christian Pinto, Andrea Marongiu, Luca Benini

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Programming techniques

April 9, 2011 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

PConG: A novel platform available for pervasive computing based on GPU

Speculative Execution on GPU: An Exploratory Study

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Compile-time GPU memory access optimizations

Profiling General Purpose GPU Applications

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

An efficient GPU implementation of the revised simplex method

Efficiently Using a CUDA-enabled GPU as Shared Resource

Automated development of applications for graphical processing units using rewriting rules

Scalable instruction set simulator for thousand-core architectures running on GPGPUs

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)