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Staggered fermions simulations on GPUs

Claudio Bonati, Guido Cossu, Massimo D'Elia, Adriano Di Giacomo

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060, Tesla C2050

November 9, 2010 by hgpu

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Ronald Babich, Michael A. Clark, Balint Joo

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C1060, Tesla C2050, Tesla C870

November 9, 2010 by hgpu

Fast Histograms using Adaptive CUDA Streams

Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan

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Tags: Computer science, CUDA, nVidia, Performance

November 9, 2010 by hgpu

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Christian Walder

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla C2050

November 9, 2010 by hgpu

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Imran S. Haque, Vijay S. Pande

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9500 GT, Package, Tesla C870

November 9, 2010 by hgpu

Parallel Graph Component Labelling with GPUs and CUDA

K. A. Hawick, A. Leist, D. P. Playne

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

November 9, 2010 by hgpu

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

Marius Buibas, Gabriel A. Silva

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Tags: Biological Physics, Condensed matter, CUDA, Disordered Systems and Neural Networks, Mathematical Physics, Neurons and Cognition, nVidia, Package, Physics, Tesla C1060

November 9, 2010 by hgpu

HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Danny van Dyk, Markus Geveler, Sven Mallach, Dirk Ribbrock, Dominik Goeddeke, Carsten Gutwenger

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Tags: Cell processor, Computer science, CUDA, Mathematical Software, Mixed precision, nVidia, nVidia GeForce 8800 GTX, Package

November 9, 2010 by hgpu

Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units

R. H. D. Townsend

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Solar and Stellar Astrophysics, Tesla C1060

November 9, 2010 by hgpu

The Chamomile Scheme: An Optimized Algorithm for N-body simulations on Programmable Graphics Processing Units

Tsuyoshi Hamada, Toshiaki Iitaka

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Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Stellar dynamics

November 9, 2010 by hgpu

Spherical harmonic transform with GPUs

Ioan O. Hupca, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Astrophysics, Computer science, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480

November 9, 2010 by hgpu

Nodal Discontinuous Galerkin Methods on Graphics Processors

Andreas Klockner, Tim Warburton, Jeffrey Bridge, Jan S. Hesthaven

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Tags: CUDA, Mathematics, Maxwell's equations, Numerical Analysis, nVidia, nVidia GeForce GTX 280

November 9, 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

Staggered fermions simulations on GPUs

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Fast Histograms using Adaptive CUDA Streams

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Parallel Graph Component Labelling with GPUs and CUDA

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units

The Chamomile Scheme: An Optimized Algorithm for N-body simulations on Programmable Graphics Processing Units

Spherical harmonic transform with GPUs

Nodal Discontinuous Galerkin Methods on Graphics Processors

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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