high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

Solving lattice QCD systems of equations using mixed precision solvers on GPUs

M. A. Clark, R. Babich, K. Barros, R. C. Brower, C. Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Package, Physics, QCD

November 8, 2010 by hgpu

Monte Carlo randomization tests for large-scale abundance datasets on the GPU

John L. Van Hemert, Julie A. Dickerson

Tags: Bioinformatics, Biology, CUDA, Medicine, Metabolomics, Monte Carlo simulation, Next-Generation sequencing, nVidia

November 8, 2010 by hgpu

Parallel, distributed and GPU computing technologies in single-particle electron microscopy

M. Schmeisser, B. C. Heisen, M. Luettich, B. Busche, F. Hauer, T. Koske, K. H. Knauber, H. Stark

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Tags: Biology, Cg, Cluster computing, Electron microscopy, GLSL, MPI, nVidia, OpenGL, Physics

November 8, 2010 by hgpu

Accelerating incompressible flow computations with a Pthreads-CUDA implementation on small-footprint multi-GPU platforms

Julien Thibault, Inanc Senocak

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Pthreads

November 8, 2010 by hgpu

A GPU-based matting Laplacian solver for high resolution image matting

Mengcheng Huang, Fang Liu, Enhua Wu

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Tags: Conjugate gradient solver, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

Parallel Iterative Linear Solvers on GPU: A Financial Engineering Case

Abhijeet Gaikwad, Ioane M. Toke

Tags: Computational finance, CUDA, Finance, nVidia, Sparse linear iterative solvers

November 8, 2010 by hgpu

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

Maraike Schellmann, Sergei Gorlatch, Dominik Meilander, Thomas Kosters, Klaus Schafers, Frank Wubbeling, Martin Burger

Tags: Cell processor, CUDA, Image processing, Image reconstruction, Medicine, nVidia, PET, Tomography

November 8, 2010 by hgpu

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

DaQi Ren, Reiji Suda

Tags: Computer science, CUDA, Energy-efficient computing, Matrix multiplication, nVidia

November 8, 2010 by hgpu

GPU-based Real-Time Soft Tissue Deformation with Cutting and Haptic Feedback

Hadrien Courtecuisse, Hoeryong Jung, Jeremie Allard, Christian Duriez, Doo Y. Lee, Stephane Cotin

Tags: Biology, Biomechanics, Finite element method, Medicine, Surgical simulation

November 8, 2010 by hgpu

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

Junqi Yin, D. P. Landau

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, MPI, nVidia, nVidia GeForce GTX 285, Phase transition, Physics, Statistical Mechanics

November 8, 2010 by hgpu

High-performance cone beam reconstruction using CUDA compatible GPUs

Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, Tesla C870

November 8, 2010 by hgpu

Accelerating glassy dynamics using graphics processing units

Peter H. Colberg, Felix Hofling

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 280, Package, Physics, Soft Condensed Matter

November 8, 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

Applications

Solving lattice QCD systems of equations using mixed precision solvers on GPUs

Monte Carlo randomization tests for large-scale abundance datasets on the GPU

Parallel, distributed and GPU computing technologies in single-particle electron microscopy

Accelerating incompressible flow computations with a Pthreads-CUDA implementation on small-footprint multi-GPU platforms

A GPU-based matting Laplacian solver for high resolution image matting

Parallel Iterative Linear Solvers on GPU: A Financial Engineering Case

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

GPU-based Real-Time Soft Tissue Deformation with Cutting and Haptic Feedback

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

High-performance cone beam reconstruction using CUDA compatible GPUs

Accelerating glassy dynamics using graphics processing units

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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