high performance computing on graphics processing units: hgpu.org

hgpu.org » GPU cluster

190 TFlops Astrophysical N-body Simulation on a Cluster of GPUs

Tsuyoshi Hamada, Keigo Nitadori

View

Tags: Astrophysics, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 295, OpenMPI, Physics

January 13, 2011 by hgpu

A Scalable and Reconfigurable Shared-Memory Graphics Cluster Architecture

Ross Brennan, Michael Manzke, Keith O'Conor, John Dingliana and Carol O'Sullivan

View

Tags: Computer science, FPGA, GPU cluster, Memory, OpenGL

January 13, 2011 by hgpu

Accelerating linpack with CUDA on heterogenous clusters

Massimiliano Fatica

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia

January 11, 2011 by hgpu

Message passing on data-parallel architectures

Jeff A. Stuart, John D. Owens

View

Tags: Computer science, GPU cluster, MPI, Networks, nVidia, nVidia GeForce GTX 280

January 6, 2011 by hgpu

Nuclei: GPU-Accelerated Many-Core Network Coding

Hassan Shojania, Baochun Li, Xin Wang

View

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280

January 4, 2011 by hgpu

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Tobias Brandvik, Graham Pullan

View

Tags: CUDA, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GT 200

January 2, 2011 by hgpu

Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters

Magnus Strengert, Marcelo Magallon, Daniel Weiskopf, Stefan Guthe, Thomas Ertl

View

Tags: Computer science, GPU cluster, Image generation, nVidia, nVidia GeForce 4, OpenGL, Visualization

December 28, 2010 by hgpu

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Veerendra Allada, Troy Benjegerdes, Brett Bode

View

Tags: Computer science, CUDA, GPU cluster, nVidia, Performance, Presentation, Tesla S1070, Tesla T10

December 27, 2010 by hgpu

On the type of the temperature phase transition in phi-4 model

M.Bordag, V.Demchik, A.Gulov, V.Skalozub

View

Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Physics

December 27, 2010 by hgpu

Exact calculation of disconnected loops

C. Alexandrou, D. Christaras, A. O'Cais, A. Strelchenko

View

Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060

December 27, 2010 by hgpu

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

Byunghyun Jang, David R. Kaeli, Synho Do, Homer Pien

View

Tags: Computed tomography, CT, CUDA, GPU cluster, Image processing, Image reconstruction, Medicine, nVidia, Tesla S870

December 26, 2010 by hgpu

Multi-GPU volume rendering using MapReduce

Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John D. Owens

View

Tags: Computer science, CUDA, GPU cluster, MapReduce, nVidia, Rendering, Tesla C1090

December 25, 2010 by hgpu

Deep Learning for Compilers

Deep Learning for Compilers

PyMatting: A Python Library for Alpha Matting

PyMatting: A Python Library for Alpha Matting

vilib: CUDA Visual Library by RPG

Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO

Error-bounded Lossy Data Compressor (for floating-point/integer datasets)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Learnergy: a Python library for energy-based machine learning models

Learnergy: Energy-based Machine Learners

Towards automated kernel selection in machine learning systems: A SYCL case study

Towards automated kernel selection in machine learning systems: A SYCL case study

CLFuzz

Automated test generation for OpenCL kernels using fuzzing and constraint solving

See all packages

* * *

* * *

* * *

2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

+

HGPU group © 2010-2020 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: