high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

A two-level simulator for spaceborne SAR

Chenhui Zhu, Zheng Xiang, Kaizhi Wang, Xingzhao Liu

Tags: Algorithms, Sensing, Signal processing

June 25, 2011 by hgpu

Real-time 3D reconstruction for mobile robot using catadioptric cameras

Romain Rossi, Xavier Savatier, Jean-Yves Ertaud, Belahcene Mazari

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS

June 25, 2011 by hgpu

GPU-accelerated synthesis of echo generators

A. Capozzoli, C. Curcio, A. Liseno

Tags: Algorithms, Electrodynamics

June 24, 2011 by hgpu

A GPU-Based 3D Image Synthesizing Method for Real-Time Multiview Autostereoscopic Displays

Xiao-Qing Xu, Qiong-Hua Wang, Jun Liu, Jun Gu, Lei Li

Tags: Algorithms, Image processing, Stereo vision

June 24, 2011 by hgpu

Accelerating Smith-Waterman on Heterogeneous CPU-GPU Systems

Jaideep Singh, Ipseeta Aruni

Tags: Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Smith-Waterman algorithm

June 24, 2011 by hgpu

Implementation of a Soft Morphological Filter Based on GPU Framework

Lipeng Wang, Hanbin Wang

Tags: Computer science, CUDA, Filtering, nVidia

June 24, 2011 by hgpu

An algorithm for efficient computation of spatial impulse response on the GPU with application in ultrasound simulation

Ramtin Shams, Florian Luna, Richard I. Hartley

Tags: Algorithms, CUDA, Medicine, nVidia, Ultrasound

June 24, 2011 by hgpu

GPU-Based Parallel Signature Scanning and Hash Generation

Bernhard Fechner

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 260, Pattern Search, Security, Sequence matching

June 24, 2011 by hgpu

Rapid star map simulation based on GPU

Shi Qun-shan, Lan Chao-zhen, Xu Qing, Zhou Yang, Liu Zhi-qing

Tags: Algorithms, Image processing, OpenGL

June 23, 2011 by hgpu

Fast implementation of fully iterative scatter corrected OSEM for HRRT using GPU

Kyung Sang Kim, Jong Chul Ye

Tags: CUDA, Image reconstruction, Medicine, nVidia, PET, Tesla C1060

June 23, 2011 by hgpu

Case study: Runtime reduction of a buffer insertion algorithm using GPU parallel programming

Won Ha Choi, Xun Liu

Tags: Algorithms, CAD, Computer science, Electronic design automation

June 23, 2011 by hgpu

GCS: High-Performance Gate-Level Simulation with GP-GPUs

Debapriya Chatterjee, Andrew DeOrio, Valeria Bertacco

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Tags: CAD, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce 8800 GT

June 23, 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

Programming

A two-level simulator for spaceborne SAR

Real-time 3D reconstruction for mobile robot using catadioptric cameras

GPU-accelerated synthesis of echo generators

A GPU-Based 3D Image Synthesizing Method for Real-Time Multiview Autostereoscopic Displays

Accelerating Smith-Waterman on Heterogeneous CPU-GPU Systems

Implementation of a Soft Morphological Filter Based on GPU Framework

An algorithm for efficient computation of spatial impulse response on the GPU with application in ultrasound simulation

GPU-Based Parallel Signature Scanning and Hash Generation

Rapid star map simulation based on GPU

Fast implementation of fully iterative scatter corrected OSEM for HRRT using GPU

Case study: Runtime reduction of a buffer insertion algorithm using GPU parallel programming

GCS: High-Performance Gate-Level Simulation with GP-GPUs

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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