high performance computing on graphics processing units: hgpu.org

Programming

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Automatic Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

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

May 26, 2014 by hgpu

Efficient Algorithm for RSA Text Encryption Using CUDA-C

Sonam Mahajan, Maninder Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, Security

May 26, 2014 by hgpu

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

Filip Jeremic, Sanzheng Qiao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 660

May 26, 2014 by hgpu

GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications

John Paul Walters, Andrew J. Younge, Dong-In Kang, Ke-Thia Yao, Mikyung Kang, Stephen P. Crago, Geoffrey C. Fox

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Tags: Cloud, Computer science, CUDA, nVidia, OpenCL, Tesla C2075, Tesla K20, Virtualization

May 26, 2014 by hgpu

GPU vs FPGA: A Comparative Analysis for Non-standard Precision

Umar Ibrahim Minhas, Samuel Bayliss, George A. Constantinides

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Tags: Algorithms, Computer science, CUDA, Extended precision, FPGA, nVidia, Tesla C1060

May 25, 2014 by hgpu

Engineering a static verification tool for GPU kernels

Ethel Bardsley, Adam Betts, Nathan Chong, Peter Collingbourne, Pantazis Deligiannis, Alastair F. Donaldson, Jeroen Ketema, Daniel Liew, Shaz Qadee

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Tags: Computer science, CUDA, nVidia, OpenCL, Package, Python

May 25, 2014 by hgpu

Parallel Computation of Functions on Set Partitions

Chetan Rokhade

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Thesis

May 25, 2014 by hgpu

GPU accelerated toolbox for real-time beam-shaping in multimode fibres

M. Ploschner, B. Straka, K. Dholakia, T. Cizmar

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Tags: Computer holography, CUDA, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Optics, Package, Physics

May 25, 2014 by hgpu

GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads

Andrea Manconi, Alessandro Orro, Emanuele Manca, Giuliano Armano, Luciano Milanesi

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 480, Package, Python, Sequence alignment, Tesla K10, Tesla K20

May 25, 2014 by hgpu

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Ana M. Mihut, Graham Morgan, Marcus Kaiser

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Tags: Biology, CUDA, GLSL, Neuroscience, nVidia, nVidia GeForce GTX 460, nVidia Quadro 600, OpenGL, Programming techniques, Tesla K20

May 24, 2014 by hgpu

Tri-Hybrid Computational Fluid Dynamics on DOE’s Cray XK7, Titan

Aaron Vose, Brian Mitchell, John Levesque

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Tags: CUDA, Fluid dynamics, MPI, nVidia, OpenACC, Tesla K20

May 24, 2014 by hgpu

GPU Accelerated Molecular Dynamics Simulation, Visualization, and Analysis

Ivan Teo, Juan Perilla, Rezvan Shahoei, Ryan McGreevy, Chris Harrison

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, Tutorial, Visualization

May 24, 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

Programming

Automatic Termination Analysis for GPU Kernels

Efficient Algorithm for RSA Text Encryption Using CUDA-C

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

GPU vs FPGA: A Comparative Analysis for Non-standard Precision

Engineering a static verification tool for GPU kernels

Parallel Computation of Functions on Set Partitions

GPU accelerated toolbox for real-time beam-shaping in multimode fibres

GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Tri-Hybrid Computational Fluid Dynamics on DOE’s Cray XK7, Titan

GPU Accelerated Molecular Dynamics Simulation, Visualization, and Analysis

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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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