high performance computing on graphics processing units: hgpu.org

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Accelerating Image Reconstruction in Three-Dimensional Optoacoustic Tomography on Graphics Processing Units

Kun Wang, Chao Huang, Yu-Jiun Kao, Cheng-Ying Chou, Alexander A. Oraevsky, Mark A. Anastasio

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Tags: CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060, Tesla C2050, Tomography

April 9, 2013 by hgpu

A GEMM interface and implementation on NVIDIA GPUs for multiple small matrices

Chetan Jhurani, Paul Mullowney

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Tags: BLAS, CUBLAS, CUDA, Dense linear algebra, GEMM, Linear Algebra, nVidia, Parallel programming, Tesla K20

April 9, 2013 by chetan.jhurani

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Robert Halstead, Walid Najjar

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Sparse matrix

April 8, 2013 by hgpu

Development of methods for the processing of mining images using genetic algorithms

Lacezar Licev, Marek Babiuch, Tomas Fabian, Radim Farana

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

April 8, 2013 by hgpu

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Mickael Gastineau, Jacques Laskar

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Tags: Algorithms, Computer science, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, nVidia, Symbolic Computation, Tesla S2050

April 8, 2013 by hgpu

Atomic-free Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Tesla K20

April 7, 2013 by hgpu

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

A. Yu. Polyakov, S. Denisov, P. Hanggi

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Tags: CUDA, Differential equations, nVidia, Physics, Quantum Physics, Tesla M2050

April 7, 2013 by hgpu

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Hovhannes Bantikyan

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Security, Tesla

April 7, 2013 by hgpu

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Steven Dalton, Nathan Bell, Luke N. Olson

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Sorting, Sparse matrix, Tesla C2075

April 7, 2013 by hgpu

A new CUDA-based GPU implementation of the two-dimensional Athena code

A. Wasiljew, K. Murawski

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Tags: CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460

April 7, 2013 by hgpu

A Performance Study of Zero Crossing Rate (ZCR) on Graphics Processors (GPUs) Using CUDA

Nydruva Biligere Priyadarshi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

April 6, 2013 by hgpu

Improving GPU Performance Prediction with Data Transfer Modeling

Michael Boyer, Jiayuan Meng, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance

April 6, 2013 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Accelerating Image Reconstruction in Three-Dimensional Optoacoustic Tomography on Graphics Processing Units

A GEMM interface and implementation on NVIDIA GPUs for multiple small matrices

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Development of methods for the processing of mining images using genetic algorithms

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Atomic-free Irregular Computations on GPUs

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

A new CUDA-based GPU implementation of the two-dimensional Athena code

A Performance Study of Zero Crossing Rate (ZCR) on Graphics Processors (GPUs) Using CUDA

Improving GPU Performance Prediction with Data Transfer Modeling

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Tutoring LLM into a Better CUDA Optimizer

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