high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Physics

Acceleration and Optimisation of a Monte Carlo Code for Light Propagation in Sprays and Other Scattering Media

Joakim Jonsson

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Optics, Optimization, Physics, Thesis

January 13, 2012 by hgpu

Parallelizing Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

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Tags: Algorithms, Chemistry, Condensed matter, CUDA, nVidia, Physics, Tesla C2050

January 10, 2012 by hgpu

Gauge Fixing in Lattice QCD on GPUs

Mario Schrock

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics, QCD

January 9, 2012 by hgpu

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Astrophysics, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, Physics, Tesla M2050

January 8, 2012 by hgpu

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, Physics

January 8, 2012 by hgpu

Report on the Feasibility of Implementing PIC Codes on a GPU

Joshua Payne

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Tags: CUDA, nVidia, nVidia GeForce GTX 470, Package, Physics, Plasma physics

January 7, 2012 by hgpu

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Noriyuki Kushida

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Finite difference, Optimization, Physics, Plasma physics

January 7, 2012 by hgpu

Multiple-GPU Scalability of Phase-Field Simulation for Dendritic Solidification

Takayuki Aoki, Satoi Ogawa, Akinori Yamanaka

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Tags: CUDA, GPU cluster, Materials Science, nVidia, Physics, Solidification, Tesla S1070

January 6, 2012 by hgpu

Thermal and Athermal Swarms of Self-Propelled Particles

Nguyen Nguyen, Eric Jankowski, Sharon C. Glotzer

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Package, Physics, Probability, Soft Condensed Matter, Tesla S1070

January 4, 2012 by hgpu

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Xiangyun Liao, Zhiyong Yuan, Weixin Si, Zhaoliang Duan, Ruixue Mao, Jianhui Zhao

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Tags: ATI, ATI Radeon HD 5850, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9600 GT, OpenCL, Physics, Rendering, Tesla C1060

January 3, 2012 by hgpu

Real-time Computer Simulation of Three Dimensional Elastostatics using the Finite Point Method

Kirana Kumara P, Ashitava Ghosal

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Tags: nVidia, nVidia GeForce GTX 460, Physics, Physics-based simulation

January 3, 2012 by hgpu

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

Carlos S. Bederian, Axel D. Dente

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Tags: Algorithms, Computer science, CUDA, Numerical simulation, nVidia, Physics, Tesla C2070

December 31, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

Acceleration and Optimisation of a Monte Carlo Code for Light Propagation in Sprays and Other Scattering Media

Parallelizing Kernel Polynomial Method Applying Graphics Processing Units

Gauge Fixing in Lattice QCD on GPUs

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Report on the Feasibility of Implementing PIC Codes on a GPU

On-the-Fly Computing on Many-Core Processors in Nuclear Applications

Multiple-GPU Scalability of Phase-Field Simulation for Dendritic Solidification

Thermal and Athermal Swarms of Self-Propelled Particles

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Real-time Computer Simulation of Three Dimensional Elastostatics using the Finite Point Method

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

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Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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