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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

GPU acceleration of compton reconstruction for the PEDRO

Matthew R. Dimmock, Dmitri A. Nikulin, Jeremy M. C. Brown, Chuong V. Nguyen, John E. Gillam

Tags: Image processing, Image reconstruction, OpenCL

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-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

Jihun Oh, Diego Martin, Oskar Skrinjar

Tags: Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 260 M, OpenCL

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

Performance evaluation of the multi-device OpenCL FDTD solver

Tomasz P. Stefanski, Nicolas Chavannes, Niels Kuster

Tags: Electrodynamics, FDTD, Finite-difference time-domain, GPU cluster, OpenCL

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

Second Order Pre-Integrated Volume Rendering

Jean-Francois El Hajjar, Stephane Marchesin, Jean-Michel Dischler, Catherine Mongenet

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering

June 20, 2011 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Programming

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

GPU acceleration of compton reconstruction for the PEDRO

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

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

GPU accelerated rotation-based emission tomography reconstruction

Performance evaluation of the multi-device OpenCL FDTD solver

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

Second Order Pre-Integrated Volume Rendering

Recent source codes

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Most viewed papers (last 30 days)