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An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Loren Schwiebert, Eyad Hailat, Kamel Rushaidat, Jason Mick, Jeffrey Potoff

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 550 Ti, Physics, Tesla K40

August 19, 2014 by hgpu

Accelerated Matrix Element Method with Parallel Computing

Doug Schouten, Adam DeAbreu, Bernd Stelzer

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Tags: AMD Radeon R9 290, ATI, Computational Complexity, Computational Physics, Monte Carlo integration, Neural networks, OpenCL, Physics, Probability

August 2, 2014 by hgpu

The design and verification of Mumax3

Arne Vansteenkiste, Jonathan Leliaert, Mykola Dvornik, Felipe Garcia-Sanchez, Bartel Van Waeyenberge

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Tags: Computational Physics, CUDA, Image generation, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX Titan, Package, Physics

July 1, 2014 by hgpu

Coupled Vlasov and two-fluid codes on GPUs

M. Rieke, T. Trost, R. Grauer

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Tags: Computational Physics, CUDA, Maxwell's equations, nVidia, Physics, Plasma physics

June 23, 2014 by hgpu

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Claas Abert, Gregor Wautischer, Florian Bruckner, Armin Satz, Dieter Suess

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Tags: Computational Physics, CUDA, Electrodynamics, Finite difference, nVidia, Package, Physics, Python

May 14, 2014 by hgpu

CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Computational Physics, CUDA, Ising model, nVidia, nVidia GeForce GTX 580, Phase transition, Physics, Statistical Mechanics

April 4, 2014 by hgpu

Petascale computations for Large-scale Atomic and Molecular collisions

Brendan M McLaughlin, Connor P Ballance

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Tags: BLAS, Computational Physics, Computer science, CUDA, Fortran, Molecular simulation, MPI, nVidia, Tesla K20

April 4, 2014 by hgpu

Finite differences numerical method for two-dimensional superlattice Boltzmann transport equation and case comparison of CPU(C) and GPGPU(CUDA) implementations

Dmitri Priimak

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Tags: Algorithms, Computational Physics, CUDA, Finite difference, Lattice Boltzmann model, Materials Science, nVidia, nVidia GeForce GTX 680, Physics

January 25, 2014 by hgpu

A comparison between parallelization approaches in molecular dynamics simulations on GPUs

Lorenzo Rovigatti, Petr Sulc, Istvan Z. Reguly, Flavio Romano

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Package, Physics, Soft Condensed Matter, Tesla C2070, Tesla K10, Tesla K20

January 23, 2014 by hgpu

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Dario Tamascelli, Francesco S. Dambrosio, Riccardo Conte, Michele Ceotto

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Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Physics, Tesla C2075, Tesla K20

December 18, 2013 by hgpu

Finding the Force – Consistent Particle Seeding for Satellite Aerodynamics

J. Brent Parham, L. A. Barba

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Raytracing, Tesla K20

December 16, 2013 by hgpu

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Freddie D Witherden, Antony M Farrington, Peter E Vincent

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Tags: Computational Physics, CUDA, Finite difference, Fluid dynamics, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, Python, Tesla K20, Tesla M2090

December 6, 2013 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

See all packages

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high performance computing on graphics processing units: hgpu.org

An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs

Accelerated Matrix Element Method with Parallel Computing

The design and verification of Mumax3

Coupled Vlasov and two-fluid codes on GPUs

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models

Petascale computations for Large-scale Atomic and Molecular collisions

Finite differences numerical method for two-dimensional superlattice Boltzmann transport equation and case comparison of CPU(C) and GPGPU(CUDA) implementations

A comparison between parallelization approaches in molecular dynamics simulations on GPUs

GPU Accelerated Semiclassical Initial Value Representation Molecular Dynamics

Finding the Force – Consistent Particle Seeding for Satellite Aerodynamics

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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