paper | Page 580 | hgpu.org

Applications

hgpu.org » paper

Optimizing MapReduce for GPUs with effective shared memory usage

Linchuan Chen, Gagan Agrawal

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, MapReduce, Memory, nVidia, nVidia Quadro FX 5800, Performance

July 16, 2012 by hgpu

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Hui Liu, Song Yu, Zhangxin Chen, Ben Hsieh, Lei Shao

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050, Tesla C2070

July 16, 2012 by hgpu

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

Kiran Kumar Matam, Siva Rama Krishna Bharadwaj, Kishore Kothapalli

View

Download (PDF)

Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla C2050

July 16, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

View

Download (PDF)

Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 2012 by hgpu

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

William H. Dillon (William Hall)

View

Download (PDF)

Tags: ATI, ATI Radeon HD 4870, Computer science, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

July 16, 2012 by hgpu

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

Muhammad Mobeen Movania, Feng Lin, Kemao Qian, Wei Ming Chiew, Hock Soon Seah

View

Download (PDF)

Tags: Algorithms, Computer science, FEM, Finite element method, GLSL, nVidia, nVidia Quadro FX 5800, OpenGL, Real-time graphics, Rendering

July 15, 2012 by hgpu

ab-Stream: A Framework for programming Many-core

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

July 15, 2012 by hgpu

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Kazuya Matsumoto, Naohito Nakasato, Stanislav G. Sedukhin

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, Matrix multiplication, OpenCL

July 15, 2012 by hgpu

Distributed OpenCL Distributing OpenCL Platform on Network Scale

Baris Eskikaya, D Turgay Altilar

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6370 M, Computer science, Distributed computing, GPU cluster, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GT 520 M, nVidia GeForce GT 525 M, nVidia GeForce GTX 540 M, nVidia GeForce GTX 555 M, OpenCL

July 15, 2012 by hgpu

A Performance Model for Memory Bandwidth Constrained Applications on Graphics Engines

Lin Ma, Roger D. Chamberlain

View

Download (PDF)

Tags: Biology, BLAST, Computational biology, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Performance

July 15, 2012 by hgpu

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

Ashish Kumar Singh

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050, Thesis

July 14, 2012 by hgpu

New Techniques for Spectral Image Acquisition and Analysis

Jukka Antikainen

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Thesis

July 14, 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

Optimizing MapReduce for GPUs with effective shared memory usage

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

ab-Stream: A Framework for programming Many-core

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Distributed OpenCL Distributing OpenCL Platform on Network Scale

A Performance Model for Memory Bandwidth Constrained Applications on Graphics Engines

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

New Techniques for Spectral Image Acquisition and Analysis

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)