high performance computing on graphics processing units: hgpu.org

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Detection of a faint fast-moving near-Earth asteroid using synthetic tracking technique

Chengxing Zhai, Michael Shao, Bijan Nemati, Thomas Werne, Hanying Zhou, Slava G. Turyshev, Jagmit Sandhu, Gregg W. Hallinan, Leon K. Harding

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

April 7, 2014 by hgpu

A Study on Efficient Application Mapping on Parallel Computing Accelerators

Keisuke Dohi

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Tags: Algorithms, Computer science, CUDA, FDTD, Finite-difference time-domain, FPGA, MPI, nVidia, nVidia GeForce GTX 295, Smith-Waterman algorithm, Thesis

April 7, 2014 by hgpu

Parallel processing for SAR image generation in CUDA – GPGPU platform

Prajakta Tapkir, Saurabh Thakur, C. Bhattacharya

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Tags: Algorithms, CUDA, Image generation, nVidia, nVidia Quadro FX 1800, Signal processing, Tesla C870

April 7, 2014 by hgpu

Acceleration of a Full-scale Industrial CFD Application with OP2

Istvan Z. Reguly, Gihan R. Mudalige, Carlo Bertolli, Michael B. Giles, Adam Betts, Paul H. J. Kelly, David Radford

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Tags: Computer science, CUDA, Fluid dynamics, MPI, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-sigma formats on NVIDIA GPUs

Hartwig Anzt, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sorting, Sparse matrix, Tesla K40

April 7, 2014 by hgpu

Optimizing Krylov Subspace Solvers on Graphics Processing Units

Hartwig Anzt, Stanimire Tomov, Piotr Luszczek, Ichitaro Yamazaki, Jack Dongarra, William Sawyer

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Sparse matrix, Tesla K20

April 6, 2014 by hgpu

A Low-Power Hybrid CPU-GPU Sort

Lawrence Tan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia ION, Sorting, Thesis

April 6, 2014 by hgpu

High Performance Computing for Large Graphs of Internet Applications using GPU

Jia Uddin, Emmanuel Oyekanlu, Cheol-Hong Kim, Jong-Myon Kim

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GT 630 M, Software router

April 6, 2014 by hgpu

GPU Accelerated Fractal Image Compression for Medical Imaging in Parallel Computing Platform

Md. Enamul Haque, Abdullah Al Kaisan, Mahmudur R Saniat, Aminur Rahman

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Tags: Algorithms, Compression, Computer vision, CUDA, Image processing, nVidia, Pattern recognition

April 6, 2014 by hgpu

Parallel Support Vector Machines in Practice

Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran

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Source codes

Tags: Algorithms, Benchmarking, Computer science, CUDA, Linear Algebra, Machine learning, nVidia, Package, Tesla C2075

April 6, 2014 by hgpu

CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Computational Physics, CUDA, Ising model, nVidia, nVidia GeForce GTX 580, Phase transition, Physics, Statistical Mechanics

April 4, 2014 by hgpu

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

Neri Mickael, Denis Mestivier

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Tags: Algorithms, Biology, Computer science, CUDA, nVidia, Optimization, Stochastic simulation, Tesla K10, Tesla K20, Tesla M2075, Tesla M2090

April 4, 2014 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

Detection of a faint fast-moving near-Earth asteroid using synthetic tracking technique

A Study on Efficient Application Mapping on Parallel Computing Accelerators

Parallel processing for SAR image generation in CUDA – GPGPU platform

Acceleration of a Full-scale Industrial CFD Application with OP2

Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-sigma formats on NVIDIA GPUs

Optimizing Krylov Subspace Solvers on Graphics Processing Units

A Low-Power Hybrid CPU-GPU Sort

High Performance Computing for Large Graphs of Internet Applications using GPU

GPU Accelerated Fractal Image Compression for Medical Imaging in Parallel Computing Platform

Parallel Support Vector Machines in Practice

CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

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