paper | Page 609 | hgpu.org

Applications

hgpu.org » paper

Algorithm Construction for GPGPU

Mattias Svanstrom, Simon Hossjer

View

Tags: Algorithms, ATI, ATI Radeon HD 5650, Computer science, Matrix multiplication, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 560 Ti, OpenCL, Sorting

April 19, 2012 by hgpu

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Georg Kunz, Daniel Schemmel, James Gross, Klaus Wehrle

View

Download (PDF)

Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 470

April 19, 2012 by hgpu

GPU computing in medical physics: A review

Guillem Pratx, Lei Xing

View

Download (PDF)

Tags: CUDA, Image processing, Image reconstruction, Medical Physics, Medicine, nVidia, Review

April 19, 2012 by hgpu

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Hans Henrik Brandenborg Sorensen

View

Download (PDF)

Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

View

Download (PDF)

Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL

April 18, 2012 by hgpu

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

William Spencer Crosswy

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, Numerical Analysis, OpenCL, Thesis

April 18, 2012 by hgpu

OpenCL vs. OpenMP: A Programmability Debate

Jie Shen, Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

View

Download (PDF)

Tags: Benchmarking, Computer science, OpenCL, OpenMP

April 18, 2012 by hgpu

High-Performance Matrix-Vector Multiplication on the GPU

Hans Henrik Brandenborg Sorensen

View

Download (PDF)

Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Implementation of Massive Artificial Neural Networks with CUDA

Domen Verber

View

Download (PDF)

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 595, Tesla C1060

April 17, 2012 by hgpu

Monte Carlo Modeling of Electron Transport Using CUDA Technology

Mikhail E. Zhukovskiy, Gerd-Ruediger Jaenisch, Andreas Deresch, Roman V. Uskov

View

Download (PDF)

Tags: Algorithms, CUDA, Monte Carlo simulation, nVidia, Physics

April 17, 2012 by hgpu

Auto-tuning interactive ray tracing using an analytical GPU architecture model

Per Ganestam, Michael Doggett

View

Download (PDF)

Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Raytracing, Rendering

April 17, 2012 by hgpu

Exact diagonalization of the Hubbard model on graphics processing units

Topi Siro, Ari Harju

View

Download (PDF)

Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Tesla M2070

April 17, 2012 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Algorithm Construction for GPGPU

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

GPU computing in medical physics: A review

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

MetaCL – A Model-Based Approach to Programming Heterogeneous Architectures Using OpenCL

OpenCL vs. OpenMP: A Programmability Debate

High-Performance Matrix-Vector Multiplication on the GPU

Implementation of Massive Artificial Neural Networks with CUDA

Monte Carlo Modeling of Electron Transport Using CUDA Technology

Auto-tuning interactive ray tracing using an analytical GPU architecture model

Exact diagonalization of the Hubbard model on graphics processing units

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

Most viewed papers (last 30 days)