high performance computing on graphics processing units: hgpu.org

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Primal Dual Affine Scaling on GPUs

Nithish Divakar

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Tags: Computer science, CUDA, Numerical Analysis, nVidia, Tesla S1070

February 13, 2015 by hgpu

Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic

Jan Verschelde, Xiangcheng Yu

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Tags: Algorithms, Computer science, CUDA, Extended precision, Linear Algebra, Mathematical Software, Numerical Analysis, nVidia, Package, Tesla K20

January 28, 2015 by hgpu

Global finite element matrix construction based on a CPU-GPU implementation

Francisco Javier Ramírez-Gil, Marcos de Sales Guerra Tsuzuki, Wilfredo Montealegre-Rubio

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Tags: Analysis of PDEs, Computational Engineering, CUDA, FEM, Numerical Analysis, parallel computing, PDEs, Performance

January 21, 2015 by fjramireg

Interpolation with Radial Basis Functions on GPGPUs using CUDA

D. Martin, G. Haase

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 680

March 25, 2014 by hgpu

GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations

R. Gandham, D. S. Medina, T. Warburton

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Tags: Algorithms, ATI, ATI Radeon HD 7970, CUDA, Differential equations, Mathematics, Numerical Analysis, nVidia, OCCA, OpenCL, Partial differential equations, PDEs, Tesla C2050, Tesla K20

March 10, 2014 by hgpu

A GPU Accelerated Aggregation Algebraic Multigrid Method

Rajesh Gandham, Ken Esler, Yongpeng Zhang

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Tags: Algorithms, CUDA, Mathematics, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 10, 2014 by hgpu

ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets

Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer

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Tags: CUDA, Image processing, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 650 Ti, Wavelet

February 26, 2014 by hgpu

Petascale elliptic solvers for anisotropic PDEs on GPU clusters

Eike Hermann Muller, Robert Scheichl, Benson Muite, Eero Vainikko

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla K20, Tesla M2090

February 17, 2014 by hgpu

Optimizing Stencil Computations for NVIDIA Kepler GPUs

Naoya Maruyama, Takayuki Aoki

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Tags: Computer science, CUDA, Numerical Analysis, nVidia, Package, Tesla K20, Tesla M2075

January 26, 2014 by hgpu

Hybrid strategy for stencil computations on the APU

Pacome Eberhart, Issam Said, Pierre Fortin

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Tags: AMD, APU, Computer science, Numerical Analysis, OpenCL, Partial differential equations

January 26, 2014 by hgpu

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Vedran Novakovic

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla C2070, Tesla K20, Tesla S2050

January 14, 2014 by hgpu

Optimal polygonal L1 linearization and fast interpolation of nonlinear systems

Guillermo Gallego, Daniel Berjon, Narciso Garcia

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Optimization

January 2, 2014 by hgpu

GPUODEBenchmarks: Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers

Automating Heterogeneous Parallelism in Numerical Differential Equations

Dat3M: Memory Model Aware Verification

Towards Unified Analysis of GPU Consistency

NVIDIA Federated Learning Application Runtime Environment

Supercharging Federated Learning with Flower and NVIDIA FLARE

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: Benchmarking Framework

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization

General-purpose Polyhedral Compilers

A Survey of General-purpose Polyhedral Compilers

Optimal Kernel Orchestration for Tensor Programs with Korch

Astaroth: A Scalable Multi-GPU Library for Stencil Computations

Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

See all packages

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high performance computing on graphics processing units: hgpu.org

Primal Dual Affine Scaling on GPUs

Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic

Global finite element matrix construction based on a CPU-GPU implementation

Interpolation with Radial Basis Functions on GPGPUs using CUDA

GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations

A GPU Accelerated Aggregation Algebraic Multigrid Method

ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets

Petascale elliptic solvers for anisotropic PDEs on GPU clusters

Optimizing Stencil Computations for NVIDIA Kepler GPUs

Hybrid strategy for stencil computations on the APU

A hierarchically blocked Jacobi SVD algorithm for single and multiple graphics processing units

Optimal polygonal L1 linearization and fast interpolation of nonlinear systems

Recent source codes

GPUODEBenchmarks: Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers

Dat3M: Memory Model Aware Verification

NVIDIA Federated Learning Application Runtime Environment

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: Benchmarking Framework

General-purpose Polyhedral Compilers

Optimal Kernel Orchestration for Tensor Programs with Korch

Astaroth: A Scalable Multi-GPU Library for Stencil Computations

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking

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