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Parallel perfusion imaging processing using GPGPU

Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm Atkinson, Joanna Wardlaw

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Tags: Algorithms, CUDA, Matrix decomposition, Medicine, nVidia, nVidia GeForce GTX 280

August 5, 2012 by hgpu

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Audrey Delevacq, Pierre Delisle, Michael Krajecki

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

August 4, 2012 by hgpu

Analysis and performance estimation of the conjugate gradient method on multiple GPUs

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, Conjugate gradient solver, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 570, Performance, Sparse matrix

August 4, 2012 by hgpu

Parallelization Design of Irregular Algorithms of Video Processing on GPUs

Huayou Su, Jun Chai, Mei Wen, Ju Ren, Chunyuan Zhang

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460, Tesla C2050, Video encoding

August 4, 2012 by hgpu

Porting marine ecosystem model spin-up using transport matrices to GPUs

E. Siewertsen, J. Piwonski, T. Slawig

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Tags: CUDA, Earth and Space Sciences, Fortran, MPI, nVidia, nVidia GeForce GTX 480

August 4, 2012 by hgpu

Solving very large instances of the scheduling of independent tasks problem on the GPU

Frederic Pinel, Bernabe Dorronsoro, Pascal Bouvry

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Tags: Computer science, CUDA, nVidia, Task scheduling, Tesla C2050

August 3, 2012 by hgpu

Power Management for GPU-CPU Heterogeneous Systems

Xue Li

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, Thesis

August 3, 2012 by hgpu

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, String matching, Tesla

August 3, 2012 by hgpu

Parallel Statistical Analysis of Analog Circuits by GPU-accelerated Graph-based Approach

Xue-Xin Liu, Sheldon X.-D. Tan, Hai Wang

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Tags: Computer science, CUDA, Data parallelism, Electronic design automation, nVidia, Tesla C2070

August 3, 2012 by hgpu

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

Justin Richardson, Alan D. George, Herman Lam

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GT 240, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C870

August 3, 2012 by hgpu

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Cheng-Zhi Qin, Lijun Zhan

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Tags: CUDA, Earth and Space Sciences, Geoscience, Graph theory, nVidia, nVidia GeForce GT 330

August 2, 2012 by hgpu

Automated Tool to Generate Parallel CUDA code from a Serial C Code

Akhil Jindal, Nikhil Jindal, Divyashikha Sethia

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS

August 2, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel perfusion imaging processing using GPGPU

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Analysis and performance estimation of the conjugate gradient method on multiple GPUs

Parallelization Design of Irregular Algorithms of Video Processing on GPUs

Porting marine ecosystem model spin-up using transport matrices to GPUs

Solving very large instances of the scheduling of independent tasks problem on the GPU

Power Management for GPU-CPU Heterogeneous Systems

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Parallel Statistical Analysis of Analog Circuits by GPU-accelerated Graph-based Approach

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Automated Tool to Generate Parallel CUDA code from a Serial C Code

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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