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Scalable Data Clustering using GPU Clusters

Andrew Pangborn, Gregor von Laszewski, James Cavenaugh, Muhammad Shaaban, Roy Melton

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Tags: Algorithms, Cloud, Clustering, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 260, OpenMP, Tesla C1060

December 1, 2011 by hgpu

Unleashing the Power of Distributed CPU/GPU Architectures: Massive Astronomical Data Analysis and Visualization case study

Amr H. Hassan, C. J. Fluke, D. G. Barnes

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, nVidia, Tesla C1060, Tesla C2050, Visualization

November 30, 2011 by hgpu

Electric polarizability of hadrons with overlap fermions on multi-GPUs

Michael Lujan, Andrei Alexandru, Frank Lee

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Tags: GPU cluster, High Energy Physics - Lattice, nVidia, Physics, QCD

November 29, 2011 by hgpu

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

James B White III (Trey), Jack Dongarra

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Tags: CUDA, Fluid dynamics, Fortran, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, OpenMPI, Presentation, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

High performance system for the Interactive rendering of a 3D Model into MPEG-4

A. Joshi, S. Ismail, L. S. Ng, A. Taqa

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Tags: Computer science, CUDA, GPU cluster, nVidia, OpenGL, Rendering, Video encoding

November 26, 2011 by hgpu

Parallel GMRES implementation for solving sparse linear systems on GPU clusters

Jacques M. Bahi, Raphael Couturier, Lilia Ziane Khodja

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Sparse matrix, Tesla C1060

November 25, 2011 by hgpu

Design of 3D FFT on Multi-GPU Clusters

Arpan Maheshwari

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Tags: CUDA, FFT, Fluid dynamics, GPU cluster, nVidia, Spectral methods, Tesla T10, Thesis

November 25, 2011 by hgpu

Fastplay: A Parallelization Model and Implementation of SMC on CUDA Based GPU Cluster Architecture

Shi Pu, Pu Duan, Jyh-Charn Liu

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Security, Tesla C870

November 25, 2011 by hgpu

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Isha Sanjay Deshpande

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia Quadro FX 5600, Thesis

November 25, 2011 by hgpu

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali R. Butt, Srimat Chakradhar

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

November 24, 2011 by hgpu

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

D.N. Morozov, B.N. Chetverushkin, N.G. Churbanova, M.A. Trapeznikova

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295, Package

November 24, 2011 by hgpu

Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters

Christopher J. Fluke

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Tags: Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, Overview

November 23, 2011 by hgpu

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

See all packages

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high performance computing on graphics processing units: hgpu.org

Unleashing the Power of Distributed CPU/GPU Architectures: Massive Astronomical Data Analysis and Visualization case study

Electric polarizability of hadrons with overlap fermions on multi-GPUs

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

High performance system for the Interactive rendering of a 3D Model into MPEG-4

Parallel GMRES implementation for solving sparse linear systems on GPU clusters

Design of 3D FFT on Multi-GPU Clusters

Fastplay: A Parallelization Model and Implementation of SMC on CUDA Based GPU Cluster Architecture

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters

Recent source codes

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

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