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Numerical computations in Java with CUDA

Bogdan Oancea, Tudorel Andrei, Andreea Iluzia Iacob

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Tags: Computer science, CUBLAS, CUDA, Java, Linear Algebra, nVidia, nVidia GeForce 9500 GT

January 7, 2013 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Peter Richtarik, Martin Takac, Selin Damla Ahipasaoglu

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Tags: CUBLAS, CUDA, Machine learning, nVidia, Package, Statistics

December 18, 2012 by hgpu

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

Kenneth Webster

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Tags: CUBLAS, CUDA, Fluid dynamics, Matrix multiplication, nVidia, Tesla M2070, Thesis

December 12, 2012 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

Use of CUDA for the Continuous Space Language Model

Elizabeth A. Thompson, Timothy Anderson

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Tags: CUBLAS, CUDA, nVidia, nVidia Quadro FX 2700 M, Signal processing

November 16, 2012 by hgpu

Adapting Irregular Computations to Large CPU-GPU Clusters in the MADNESS Framework

Vlad Slavici, Raghu Varier, Gene Cooperman, Robert J. Harrison

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Tags: Chemistry, Computational chemistry, Computer science, CUBLAS, CUDA, GPU cluster, nVidia, Tesla M2090

November 6, 2012 by hgpu

Forecasting high frequency financial time series using parallel FFN with CUDA and ZeroMQ

Paola Arce, Cristian Maureira, Roberto Bonvallet, Cesar Fernandez

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Tags: Algorithms, CUBLAS, CUDA, Finance, Linear Algebra, Machine learning, Neural networks, nVidia, Tesla M2050

September 20, 2012 by hgpu

Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU

Ahmad Abdelfattah, David Keyes, Hatem Ltaief

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

September 13, 2012 by hgpu

GPU-accelerated WZ Factorization with the Use of the CUBLAS Library

Beata Bylina, Jaroslaw Bylina

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Tags: Computer science, CUBLAS, CUDA, Factorization, nVidia, Tesla C2050

September 3, 2012 by hgpu

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Yi Yang, Ping Xiang, Jingfei Kong, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Programming Languages

August 27, 2012 by hgpu

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Sarod Yatawatta, Sanaz Kazemi, Saleem Zaroubi

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Tags: Algorithms, Astrophysics, CUBLAS, CUDA, Linear Algebra, Nonlinear optimization, nVidia, Optimization, Tesla M1060

August 26, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Numerical computations in Java with CUDA

Task-based Conjugate-Gradient for multi-GPUs platforms

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

Implementing QR Factorization Updating Algorithms on GPUs

Use of CUDA for the Continuous Space Language Model

Adapting Irregular Computations to Large CPU-GPU Clusters in the MADNESS Framework

Forecasting high frequency financial time series using parallel FFN with CUDA and ZeroMQ

Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU

GPU-accelerated WZ Factorization with the Use of the CUBLAS Library

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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