high performance computing on graphics processing units: hgpu.org

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Shredder: GPU-Accelerated Incremental Storage and Computation

Pramod Bhatotia, Rodrigo Rodrigues, Akshat Verma

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Tags: Cloud, Computer science, CUDA, MapReduce, nVidia, Storage system, Tesla C2050

February 24, 2012 by hgpu

CUDA Implementation in the EM Scattering of a Three-Layer Canopy

W.-Q. Jiang, M. Zhang, H. Chen, Y.-G. Lu

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 460

February 23, 2012 by hgpu

Speculative Parallelization on GPGPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Poster, Tesla C1060

February 23, 2012 by hgpu

Use of Multiple GPUs on Shared Memory Multiprocessors for Ultrasound Propagation Simulations

Jiri Jaros, Bradley E. Treeby, Alistair P. Rendell

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Tags: CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 580, Ultrasound

February 23, 2012 by hgpu

Network Simulator Tools and GPU Parallel Systems

Leonid Djinevski, Sonja Filiposka, Dimitar Trajanov

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Tags: Computer science, CUDA, Networks, nVidia, OpenCL, Tesla C2070

February 23, 2012 by hgpu

Virtual Texturing with WebGL

Sven Andersson, Jhonny Goransson

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Rendering, Thesis

February 23, 2012 by hgpu

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

Xiong QinGang, Li Bo, Xu Ji, Fang XiaoJian, Wang XiaoWei, Wang LiMin, He XianFeng, Ge Wei

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla C2050

February 22, 2012 by hgpu

GPU-Based Iterative Relative Fuzzy Connectedness Image Segmentation

Ying Zhuge, Jayaram K. Udupa, Krzysztof C. Ciesielski, Alexandre X. Falcao, Paulo A. V. Miranda, Robert W. Miller

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C1060

February 22, 2012 by hgpu

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Mark Gebhart, Daniel R. Johnson, David Tarjan, Stephen W. Keckler, William J. Dally, Erik Lindholm, Kevin Skadron

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia

February 22, 2012 by hgpu

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata, Vitezslav Zabka

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Tags: Algorithms, CUDA, Differential equations, Image processing, MRI, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Partial differential equations, PDEs

February 22, 2012 by hgpu

High Performance N-Body Simulation and Visualization through CUDA Architecture

Edgar Josafat Martinez Noriega, Tetsu Narumi

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Tags: CUDA, Molecular dynamics, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenGL, Physics, Rendering, Visualization

February 22, 2012 by hgpu

Variants of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito, Makoto Matsumoto

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

February 21, 2012 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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high performance computing on graphics processing units: hgpu.org

Applications

CUDA Implementation in the EM Scattering of a Three-Layer Canopy

Speculative Parallelization on GPGPUs

Use of Multiple GPUs on Shared Memory Multiprocessors for Ultrasound Propagation Simulations

Network Simulator Tools and GPU Parallel Systems

Virtual Texturing with WebGL

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

GPU-Based Iterative Relative Fuzzy Connectedness Image Segmentation

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

High Performance N-Body Simulation and Visualization through CUDA Architecture

Variants of Mersenne Twister Suitable for Graphic Processors

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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