high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Compiler Support for High-level GPU Programming

Tianyi David Han and Tarek S. Abdelrahman

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, Package

February 19, 2011 by hgpu

High Performance Relevance Vector Machine on GPUs

Depeng Yang, Getao Liang, David D. Jenkins, Gregory D. Peterson, and Husheng Li

View

Download (PDF)

Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 480, OpenCL

February 19, 2011 by hgpu

A Generic Approach for Developing Highly Scalable Particle-Mesh Codes for GPUs

W. Honig, F. Schmitt, R. Widera, H. Burau, G. Juckeland, M. S. Muller, and M. Bussmann

View

Download (PDF)

Tags: ATI Radeon HD 5770, Computer science, CUDA, nVidia, OpenCL, Particle-in-cell methods, Plasma physics, Tesla C2050, Tesla S1070

February 19, 2011 by hgpu

GPU Accelerated Scalable Parallel Random Number Generators

Shuang Gao, Gregory D. Peterson

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 480, Pseudo-random number generators, Tesla S1060

February 19, 2011 by hgpu

Faster File Matching using GPGPUs

Deephan Mohan and John Cavazos

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Security, String matching

February 19, 2011 by hgpu

Efficiency Considerations of Cauchy Reed-Solomon Implementations on Accelerator and Multi-Core Platforms

Thomas Steinke, Kathrin Peter, and Sebastian Borchert

View

Download (PDF)

Tags: Cell processor, Computer science, CUDA, Error recovery, FPGA, nVidia, Tesla C1060, Tesla C870

February 19, 2011 by hgpu

Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation

Dan Campbell, Mark McCans, Mike Davis, Mike Brinkmann

View

Download (PDF)

Tags: Computer science, CUDA, Mixed precision, nVidia, nVidia GeForce 9800 GX2, Signal processing

February 19, 2011 by hgpu

Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs

JunKyu Lee, Junqing Sun, Gregory D. Peterson, Robert J. Harrison, Robert J. Hinde

View

Download (PDF)

Tags: Computer science, Energy-efficient computing, FPGA, Linear Algebra, Mixed precision, nVidia, Performance, Tesla C1060

February 18, 2011 by hgpu

Accelerating Double Precision Floating-point Hessenberg Reduction on FPGA and Multicore Architectures

Miaoqing Huang, Lingyuan Wang, Tarek El-Ghazawi

View

Download (PDF)

Tags: Computer science, CUDA, Extended precision, FPGA, nVidia, nVidia GeForce GTX 480, OpenMP, Performance, Tesla C1060

February 18, 2011 by hgpu

GPU Acceleration of Near-Minimal Logic Minimization

Ibrahim Savran, Jason D. Bakos

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla S1070

February 18, 2011 by hgpu

Sparse systems solving on GPUs with GMRES

Raphael Couturier, Stephane Domas

Tags: Computer science, CUBLAS, CUDA, nVidia, Sparse linear iterative solvers, Sparse matrix

February 18, 2011 by hgpu

Accelerating Power Flow studies on Graphics Processing Unit

Jaideep Singh, Ipseeta Aruni

Tags: Computer science, CUDA, nVidia, Performance

February 18, 2011 by hgpu

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Compiler Support for High-level GPU Programming

High Performance Relevance Vector Machine on GPUs

A Generic Approach for Developing Highly Scalable Particle-Mesh Codes for GPUs

GPU Accelerated Scalable Parallel Random Number Generators

Faster File Matching using GPGPUs

Efficiency Considerations of Cauchy Reed-Solomon Implementations on Accelerator and Multi-Core Platforms

Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation

Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs

Accelerating Double Precision Floating-point Hessenberg Reduction on FPGA and Multicore Architectures

GPU Acceleration of Near-Minimal Logic Minimization

Sparse systems solving on GPUs with GMRES

Accelerating Power Flow studies on Graphics Processing Unit

Recent source codes

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Most viewed papers (last 30 days)