high performance computing on graphics processing units: hgpu.org

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A Watermarking Co-Processor for New Generation Graphics Processing Units

Saraju P. Mohanty, Nishikanta Pati, Elias Kougianos

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Tags: Algorithms, Image processing, Security

February 26, 2011 by hgpu

Towards real time 2D to 3D registration for ultrasound-guided endoscopic and laparoscopic procedures

Raul San Jose Estepar, Carl-Fredrik Westin and Kirby G. Vosburgh

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Tags: Algorithms, Computed tomography, CT, CUDA, Image registration, Medicine, nVidia, Ultrasound

February 25, 2011 by hgpu

Interactive multiple anisotropic scattering in clouds

Antoine Bouthors, Fabrice Neyret, Nelson Max, Eric Bruneton, Cyril Crassin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS

February 25, 2011 by hgpu

Pyramid Methods in GPU-Based Image Processing

Magnus Strengert, Martin Kraus, and Thomas Ertl

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Programming techniques

February 25, 2011 by hgpu

Parallel Image Processing Based on CUDA

Zhiyi Yang, Yating Zhu, Yong Pu

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Tags: Algorithms, CUDA, Image processing, nVidia

February 25, 2011 by hgpu

OpenGL application live migration with GPU acceleration in personal cloud

Yunbiao Lin, Wei Wang, Kyle Gui

Tags: Algorithms, Computer science, OpenGL, Software Engineering, Virtualization

February 25, 2011 by hgpu

Achieving a single compute device image in OpenCL for multiple GPUs

Jungwon Kim, Honggyu Kim, Joo H. Lee, Jaejin Lee

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL, Optimization

February 25, 2011 by hgpu

A Resource-Efficient Computing Paradigm for Computational Protein Modeling Applications

Yaohang Li, Douglas Wardell, Vincent Freeh

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Tags: Algorithms, Biology, Molecular dynamics

February 24, 2011 by hgpu

GPU Acceleration of Runge-Kutta Integrators

Lawrence Murray

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Tags: Algorithms, CUDA, Mathematics, nVidia, ODEs, Ordinary differential equations

February 22, 2011 by hgpu

Accelerated Root Finding for Computational Finance

Mark J. Bennett

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Tags: Algorithms, Computational finance, Differential equations, Finance, Stochastic simulation

February 21, 2011 by hgpu

Final Project Implementing Extremely Randomized Trees in CUDA

Michael A. Geary, HyoukJoong Lee, Davide Signorelli, Jordan Vaughan

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, OpenMP, Tesla C1060

February 20, 2011 by hgpu

Fast Exact String Matching on the GPU

Michael C. Schatz, Cole Trapnell

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Source codes

Tags: Algorithms, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Search, String matching, Suffix trees

February 20, 2011 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

A Watermarking Co-Processor for New Generation Graphics Processing Units

Towards real time 2D to 3D registration for ultrasound-guided endoscopic and laparoscopic procedures

Interactive multiple anisotropic scattering in clouds

Pyramid Methods in GPU-Based Image Processing

Parallel Image Processing Based on CUDA

OpenGL application live migration with GPU acceleration in personal cloud

Achieving a single compute device image in OpenCL for multiple GPUs

A Resource-Efficient Computing Paradigm for Computational Protein Modeling Applications

GPU Acceleration of Runge-Kutta Integrators

Accelerated Root Finding for Computational Finance

Final Project Implementing Extremely Randomized Trees in CUDA

Fast Exact String Matching on the GPU

Recent source codes

OpScanner

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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