Linear Algebra | Page 38

hgpu.org » Linear Algebra

Solving Dense Linear Systems on Graphics Processors

Sergio Barrachina, Maribel Castillo, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana Ort'?

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

November 4, 2010 by hgpu

Implementing sparse matrix-vector multiplication on throughput-oriented processors

Nathan Bell, Michael Garland

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Source codes

Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, Package, Sparse matrix

November 4, 2010 by hgpu

Algorithmic performance studies on graphics processing units

O. Schenk, M. Christen, H. Burkhart

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Tags: Computer science, Linear Algebra, Matrix decomposition, Nonlinear optimization, nVidia, nVidia GeForce 8800 GTX, Sparse direct solvers

November 2, 2010 by hgpu

Linear algebra operators for GPU implementation of numerical algorithms

Jens Krüger, Rüdiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800, Computer science, Finite difference, Fluid simulation, Linear Algebra, Navier-Stokes equations, NSEs, OpenGL, Raytracing, Rendering, Simulation support systems

November 2, 2010 by hgpu

Improving Performance of Matrix Multiplication and FFT on GPU

Xiang Cui, Yifeng Chen, Hong Mei

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Tags: Computer science, CUDA, FFT, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280

November 2, 2010 by hgpu

Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment

Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba

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Tags: Algorithms, Computer science, Linear Algebra, nVidia GeForce 6600 GT, nVidia GeForce 7800 GTX

October 29, 2010 by hgpu

Cache and bandwidth aware matrix multiplication on the GPU

J. Hall, N. Carr, J. Hart

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Tags: Algorithms, Computer science, Linear Algebra, Performance

October 27, 2010 by hgpu

Implementing an Interior Point Method for Linear Programs on a CPU-GPU System

Jin H. Jung, Dianne P. OLeary

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Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce 7800 GTX

October 27, 2010 by hgpu

Understanding the efficiency of GPU algorithms for matrix-matrix multiplication

K. Fatahalian,J. Sugerman,P. Hanrahan

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Tags: Algorithms, ATI, ATI Radeon 9800 XT, Computer science, Linear Algebra, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900 Ultra

October 27, 2010 by hgpu

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

Ilargi: a GPU Compatible Factorized ML Model Training Framework

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

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high performance computing on graphics processing units: hgpu.org

Solving Dense Linear Systems on Graphics Processors

Implementing sparse matrix-vector multiplication on throughput-oriented processors

Algorithmic performance studies on graphics processing units

Linear algebra operators for GPU implementation of numerical algorithms

Improving Performance of Matrix Multiplication and FFT on GPU

Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment

Cache and bandwidth aware matrix multiplication on the GPU

Implementing an Interior Point Method for Linear Programs on a CPU-GPU System

Understanding the efficiency of GPU algorithms for matrix-matrix multiplication

Recent source codes

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Ilargi: a GPU Compatible Factorized ML Model Training Framework

MPI-CorrBench 2.0.0

VFLog: vertical + gpu + free join + datalog

ViVid Project

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

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