high performance computing on graphics processing units: hgpu.org

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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

GPU-Acceleration of Linear Algebra using OpenCL

Andreas Falkenstrom Mieritz

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Tags: ATI, ATI Radeon HD 6990, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 590, OpenCL, Thesis, Wave equation

September 20, 2012 by hgpu

Efficient computation of condition estimates for linear least squares problems

Marc Baboulin, Serge Gratton, Remi Lacroix, Alan Laub

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2075

September 15, 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 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

Optimizing the Computation of Eigenvalues Using Graphics Processing Units

Ion Lungu, Alexandru Pirjan, Dana-Mihaela Petrosanu

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Tags: Computer science, CUDA, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 480

August 15, 2012 by hgpu

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

Using GPU-based Computing To Accelerate Finite Element Problems

Jacob Watt

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Tags: Computer science, CUDA, Finite element method, Linear Algebra, nVidia, nVidia Quadro FX 5000, Thesis, Visualization

August 8, 2012 by hgpu

Fast Linear Algebra on GPU

Lukas Polok, Pavel Smrz

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Tags: Computer science, CUBLAS, Linear Algebra, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 590, OpenCL

July 28, 2012 by hgpu

Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs

A. Barberis, G. Danese, F. Leporati, A. Plaza, E. Torti

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Tags: Algorithms, CUBLAS, CUDA, Data acquisition, Earth and Space Sciences, Geoscience, Linear Algebra, nVidia, nVidia GeForce GTX 460

July 13, 2012 by hgpu

Improving GPU Simulations of Spiking Neural P Systems

Francis George C. Cabarle, Henry N. Adorna, Miguel A. Martinez-Del-Amor, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Linear Algebra, Membrane computing, Neural networks, nVidia, P systems, Tesla C1060

June 25, 2012 by hgpu

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

Federico Raimondo, Juan Kamienkowski, Mariano Sigman, Diego Fernandez Slezak

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Tags: Algorithms, Biology, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, Neuroscience, nVidia, nVidia GeForce GTX 560, Package, Tesla C2070

June 11, 2012 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

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

GPU-Acceleration of Linear Algebra using OpenCL

Efficient computation of condition estimates for linear least squares problems

Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Optimizing the Computation of Eigenvalues Using Graphics Processing Units

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Using GPU-based Computing To Accelerate Finite Element Problems

Fast Linear Algebra on GPU

Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs

Improving GPU Simulations of Spiking Neural P Systems

CUDAICA: GPU optimization of Infomax-ICA EEG analysis

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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