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Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Xiangyun Liao, Zhiyong Yuan, Weixin Si, Zhaoliang Duan, Ruixue Mao, Jianhui Zhao

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Tags: ATI, ATI Radeon HD 5850, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9600 GT, OpenCL, Physics, Rendering, Tesla C1060

January 3, 2012 by hgpu

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

Chao Peng, Yong Cao

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro FX 5000, Rendering

January 3, 2012 by hgpu

GPU Computing for Parallel Local Search Metaheuristics

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Tesla M2050

January 3, 2012 by hgpu

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Kunihiko Ikeda, Chihiro Matsunuma, Hiroshi Masuda

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 3, 2012 by hgpu

Process Time Comparison between GPU and CPU

Abhranil Das

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C870

January 2, 2012 by hgpu

A GPU-based platform for cancer-treatment planning

Luis Cebamanos

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Tags: Algorithms, CUDA, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis

January 2, 2012 by hgpu

Linear Solvers for Stable Fluids: GPU vs CPU

Goncalo Amador, Abel Gomes

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, Sparse linear iterative solvers

January 2, 2012 by hgpu

Performance of Implicit Solver Strategies on GPUs

Uli Gohner

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Tags: CUDA, Fluid dynamics, Linear Algebra, nVidia, nVidia GeForce 9600 GT

January 2, 2012 by hgpu

CudaHull: Fast Parallel 3D Convex Hull on the GPU

Ayal Stein, Eran Geva, Jihad El-Sana

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

January 2, 2012 by hgpu

Augmenting Operating Systems With the GPU

Weibin Sun, Robert Ricci

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

January 2, 2012 by hgpu

Acceleration of real-life stencil codes on GPUs

Youcef Barigou

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Tags: Algorithms, Computer science, CUDA, Differential equations, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, Optimization

January 2, 2012 by hgpu

Programming of shared memory GPUs shared memory systems

Jean-Philippe Bergeron

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Optimization, Programming techniques

January 2, 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

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

GPU-based Streaming for Parallel Level of Detail on Massive Model Rendering

GPU Computing for Parallel Local Search Metaheuristics

Robust Edge Detection and GPU-Based Smoothing for Extracting Surface Primitives from Range Images

Process Time Comparison between GPU and CPU

A GPU-based platform for cancer-treatment planning

Linear Solvers for Stable Fluids: GPU vs CPU

Performance of Implicit Solver Strategies on GPUs

CudaHull: Fast Parallel 3D Convex Hull on the GPU

Augmenting Operating Systems With the GPU

Acceleration of real-life stencil codes on GPUs

Programming of shared memory GPUs shared memory systems

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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