Applications

hgpu.org » Applications

Real-time optical manipulation of micron sized structures using GPU generated holograms

S. Bianchi, R. Di Leonardo

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Tags: Computer holography, CUDA, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 260, Optical trapping, Physics, Soft Condensed Matter

November 2, 2010 by hgpu

Implementation of a Lattice–Boltzmann method for numerical fluid mechanics using the nVIDIA CUDA technology

E. Riegel, T. Indinger, N. Adams

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, LBUltra, nVidia, nVidia GeForce 8800 GTS, Presentation, Tesla C1060, Tesla S1070

November 2, 2010 by hgpu

Multilevel summation of electrostatic potentials using graphics processing units

David J. Hardy, John E. Stone, Klaus Schulten

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Tags: Chemistry, CUDA, Electrostatics, Molecular dynamics, Molecular modeling, Multilevel summation, nVidia, nVidia GeForce GTX 280, Physics, Tesla C870, Tesla D870

November 2, 2010 by hgpu

Fast and accurate protein substructure searching with simulated annealing and GPUs

Alex D. Stivala, Peter J. Stuckey, Anthony I. Wirth

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Tags: Bioinformatics, Biological Physics, Biology, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 285, Package, Tesla C1060

November 2, 2010 by hgpu

Performance Predictions for General-Purpose Computation on GPUs

Weiguo Liu, Wolfgang M. Wittig, Bertil Schmidt

Tags: Computer science, Performance

November 2, 2010 by hgpu

Wait-free programming for general purpose computations on graphics processors

Phuong H. Ha, Philippas Tsigas, Otto J. Anshus

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Tags: Computer science, Consensus, Distributed data structures, Read-modify-write objects, Synchronization

November 2, 2010 by hgpu

Multi-grain Parallel Processing of Data-Clustering on Programmable Graphics Hardware

Hiroyki Takizawa, Hiroaki Kobayashi

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Tags: Cluster analysis, Computer science, Data mining, Nearest neighbour

November 2, 2010 by hgpu

A first look at integrated GPUs for green high-performance computing

T. Scogland, H. Lin, W. Feng

Tags: Computer science, Embedded high-performance computing, Energy-efficient computing, Green, Performance

November 2, 2010 by hgpu

Algorithmic performance studies on graphics processing units

O. Schenk, M. Christen, H. Burkhart

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Tags: Computer science, Linear Algebra, Matrix decomposition, Nonlinear optimization, nVidia, nVidia GeForce 8800 GTX, Sparse direct solvers

November 2, 2010 by hgpu

On sorting and load balancing on GPUs

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Sorting

November 2, 2010 by hgpu

General purpose molecular dynamics simulations fully implemented on graphics processing units

J. Anderson, C. Lorenz, A. Travesset

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Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce 8800 GTX, Physics, Polymer Systems

November 2, 2010 by hgpu

Thread-Scalable Evaluation of Multi-Jet Observables

Walter Giele, Gerben Stavenga, Jan-Christopher Winter

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Tags: CUDA, Hadronic Colliders, High Energy Physics - Phenomenology, Jets, LO Computations, nVidia, Package, Physics, QCD, Tesla C1060

November 2, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Real-time optical manipulation of micron sized structures using GPU generated holograms

Implementation of a Lattice–Boltzmann method for numerical fluid mechanics using the nVIDIA CUDA technology

Multilevel summation of electrostatic potentials using graphics processing units

Fast and accurate protein substructure searching with simulated annealing and GPUs

Performance Predictions for General-Purpose Computation on GPUs

Wait-free programming for general purpose computations on graphics processors

Multi-grain Parallel Processing of Data-Clustering on Programmable Graphics Hardware

A first look at integrated GPUs for green high-performance computing

Algorithmic performance studies on graphics processing units

On sorting and load balancing on GPUs

General purpose molecular dynamics simulations fully implemented on graphics processing units

Thread-Scalable Evaluation of Multi-Jet Observables

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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