high performance computing on graphics processing units: hgpu.org

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FluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopy

Cory W. Quammen, Alvin C. Richardson, Julian Haase, Benjamin D. Harrison, Russell M. Taylor, Kerry S. Bloom

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Tags: Algorithms, Biology, CUDA, Image generation, Microscopy, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package

March 2, 2011 by hgpu

Accelerating Statistical Static Timing Analysis Using Graphics Processing Units

Kanupriya Gulati, Sunil P. Khatri

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Tags: Computer science, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

March 2, 2011 by hgpu

ECC2K-130 on NVIDIA GPUs

Daniel J. Bernstein, Hsieh-Chung Chen, Chen-Mou Cheng, Tanja Lange, Ruben Niederhagen, Peter Schwabe, Bo-Yin Yang

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Tags: Computer science, CUDA, Elliptic-curve method of factorization, nVidia, nVidia GeForce GTX 295, Security

March 2, 2011 by hgpu

Application of Assembly of Finite Element Methods on Graphics Processors for Real-Time Elastodynamics

Cris Cecka, Adrian Lew, Eric Darve

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Tags: CUDA, Finite element method, Mathematics, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs

March 2, 2011 by hgpu

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double Precision GPUs)

Dominik Goddeke and Robert Strzodka

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Tags: Computer science, Conjugate gradient solver, CUDA, Extended precision, Mixed precision, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Partial differential equations, PDEs, Sparse linear iterative solvers

March 2, 2011 by hgpu

Accelerating Double Precision FEM Simulations with GPUs

Dominik Goddeke, Robert Strzodka, Stefan Turek

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Tags: Computer science, Extended precision, Finite element method, nVidia, nVidia GeForce 6800, OpenGL, Partial differential equations, PDEs

March 2, 2011 by hgpu

Integrating GPUs as fast co-processors into the existing parallel FE package FEAST

Dominik Goddeke, Christian Becker, Stefan Turek

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Tags: Finite element method, Fluid dynamics, nVidia, nVidia Quadro FX 1400, Package, Partial differential equations, PDEs

March 2, 2011 by hgpu

Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers

Dominik Goddeke, Robert Strzodka

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Tags: CUDA, Mathematics, Mixed precision, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

March 2, 2011 by hgpu

Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters

Stefan Turek, Dominik Goddeke, Sven H.M. Buijssen, Hilmar Wobker

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Tags: CUDA, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package

March 2, 2011 by hgpu

Finite Element Integration on GPUs

Matthew G. Knepley, Andy R. Terrel

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Tags: CUDA, Finite element method, Mathematical Software, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 285

March 2, 2011 by hgpu

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Stefan Turek, Dominik Goddeke, Christian Becker, Sven H.M. Buijssen, Hilmar Wobker

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Tags: Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations

Dominik Goddeke, Robert Strzodka, Stefan Turek

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Tags: Cg, Computer science, Conjugate gradient solver, Mixed precision, nVidia, nVidia GeForce 7800 GTX, nVidia Quadro FX 4500, Sparse linear iterative solvers

March 1, 2011 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

FluoroSim: A Visual Problem-Solving Environment for Fluorescence Microscopy

Accelerating Statistical Static Timing Analysis Using Graphics Processing Units

ECC2K-130 on NVIDIA GPUs

Application of Assembly of Finite Element Methods on Graphics Processors for Real-Time Elastodynamics

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double Precision GPUs)

Accelerating Double Precision FEM Simulations with GPUs

Integrating GPUs as fast co-processors into the existing parallel FE package FEAST

Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers

Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters

Finite Element Integration on GPUs

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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