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Cloth Simulation Using AABB Hierarchies and GPU Parallelism

Frizzi Alejandra San Roman Salazar, Bruno Brandoli Machado, Alexander Victor Ocsa Mamani, Maria Cristina Ferreira de Oliveira

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Physics-based simulation, Rendering

June 22, 2011 by hgpu

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

S.S. Vasanawala, M.J. Murphy, M.T. Alley, P. Lai, K. Keutzer, J.M. Pauly, M. Lustig

Source codes

Tags: CUDA, Image reconstruction, Medicine, MRI, nVidia, Package

June 21, 2011 by hgpu

GPU-based acceleration of MPIE/MoM matrix calculation for the analysis of microstrip circuits

Danilo De Donno, Alessandra Esposito, Giuseppina Monti, Luciano Tarricone

Tags: Algorithms, CUDA, Electrodynamics, nVidia

June 21, 2011 by hgpu

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

Andrea Di Biagio, Giovanni Agosta

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

June 21, 2011 by hgpu

GPU accelerated rotation-based emission tomography reconstruction

S. Pedemonte, A. Bousse, K. Erlandsson, M. Modat, S. Arridge, B. F. Hutton, S. Ourselin

Source codes

Tags: CUDA, Image reconstruction, Medicine, nVidia, Package, Tomography

June 21, 2011 by hgpu

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzynka, Erwin Pesch, Pawel Wojciechowski

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Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Package, Sequence alignment, Tesla S1070

June 21, 2011 by hgpu

Fast, parallel, GPU-based construction of space filling curves and octrees

Prekshu Ajmera, Rhushabh Goradia, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Visualization

June 21, 2011 by hgpu

Reconfigurable Control Variate Monte-Carlo Designs for Pricing Exotic Options

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: CUDA, Finance, FPGA, Monte Carlo simulation, nVidia, Tesla C1060

June 20, 2011 by hgpu

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Wei Cao, Lu Yao, Zongzhe Li, Yongxian Wang, Zhenghua Wang

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse matrix

June 20, 2011 by hgpu

GPUs for fast triggering and pattern matching at the CERN experiment NA62

Gianluca Lamanna, Gianmaria Collazuol, Marco Sozzi

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Tags: CUDA, Data acquisition, High Energy Physics - Experiment, Nuclear Experiment, nVidia, Pattern recognition, Physics, Tesla C1060

June 20, 2011 by hgpu

Accelerating batched 1D-FFT with a CUDA-capable computer

R. de Beer, D. van Ormondt, F. Di Cesare, D. Graveron-Demilly, D.A. Karras, Z. Starcuk

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Tags: CUDA, FFT, Image processing, nVidia, nVidia GeForce 9600 GT, Signal processing

June 20, 2011 by hgpu

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

Xiang Cui, Yifeng Chen, Changyou Zhang, Hong Mei

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2050

June 19, 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

Cloth Simulation Using AABB Hierarchies and GPU Parallelism

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

GPU-based acceleration of MPIE/MoM matrix calculation for the analysis of microstrip circuits

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

GPU accelerated rotation-based emission tomography reconstruction

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Fast, parallel, GPU-based construction of space filling curves and octrees

Reconfigurable Control Variate Monte-Carlo Designs for Pricing Exotic Options

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

GPUs for fast triggering and pattern matching at the CERN experiment NA62

Accelerating batched 1D-FFT with a CUDA-capable computer

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

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Tutoring LLM into a Better CUDA Optimizer

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

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