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Efficient Execution of AMR Computations on GPU Systems

Hari K. Raghavan

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Tags: Computer science, CUDA, Finite difference, Numerical simulation, nVidia, Tesla C2070, Tesla S1070, Thesis, Visualization

June 4, 2013 by hgpu

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Zs. Regaly, Zs. Sandor, P. Csomos, S. Ataiee

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Source codes

Tags: Astrophysics, CUDA, Numerical simulation, nVidia, Package, Solar and Stellar Astrophysics, Tesla C2050

May 27, 2013 by hgpu

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

M. D. Korzec, T. Ahnert

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Tags: CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, nVidia GeForce GTX 260, Partial differential equations, PDEs, Spectral methods

March 20, 2013 by hgpu

Large-scale ferrofluid simulations on graphics processing units

A.Yu. Polyakov, T.V. Lyutyy, S. Denisov, V.V. Reva, P. Hanggi

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Tags: CUDA, Fluid simulation, Molecular dynamics, Numerical simulation, nVidia, Physics, Tesla M2050

March 2, 2013 by hgpu

Vlasov on GPU (VOG Project)

M. Mehrenberger, C. Steiner, L. Marradi, N. Crouseilles, E. Sonnendrucker, B. Afeyan

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Tags: FFT, Numerical simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 470, OpenCL, Physics, Plasma physics, Tesla C2070

January 25, 2013 by hgpu

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

J. Francisco Leyva, Carlos Malaga, Ramon G. Plaza

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Tags: Biological Physics, Biology, CUDA, Numerical simulation, nVidia, Tesla C2070

January 23, 2013 by hgpu

Ferrofluid Simulations with the Barnes-Hut Algorithm on Graphics Processing Units

A. Yu. Polyakov, T. V. Lyutyy, S. Denisov, V. V. Reva, P. Hanggi

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Tags: Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Numerical simulation, nVidia, Tesla M2050

December 14, 2012 by hgpu

Non-steady relaxation and critical exponents at the depinning transition

Ezequiel E. Ferrero, Sebastian Bustingorry, Alejandro B. Kolton

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Tags: Condensed matter, CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Physics, Statistical Mechanics, Tesla C2075

December 3, 2012 by hgpu

Numerical resolution of conservation laws with OpenCL

Anais Crestetto, Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, Mathematics, Maxwell's equations, Numerical simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 320 M, nVidia GeForce GTX 470, OpenCL, Particle-in-cell methods

December 2, 2012 by hgpu

OpenCL Numerical Simulations of Two-Fluid Compressible Flows With a 2D Random Choice Method

Philippe Helluy, Jonathan Jung

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 320 M, OpenCL

December 1, 2012 by hgpu

Criticality of the XY model in complex topologies

Miguel Ibanez Berganza, Luca Leuzzi

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Tags: Condensed matter, CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 480, Physics, Statistical Mechanics

November 19, 2012 by hgpu

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 by hgpu

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient Execution of AMR Computations on GPU Systems

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

Large-scale ferrofluid simulations on graphics processing units

Vlasov on GPU (VOG Project)

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

Ferrofluid Simulations with the Barnes-Hut Algorithm on Graphics Processing Units

Non-steady relaxation and critical exponents at the depinning transition

Numerical resolution of conservation laws with OpenCL

OpenCL Numerical Simulations of Two-Fluid Compressible Flows With a 2D Random Choice Method

Criticality of the XY model in complex topologies

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Recent source codes

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

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