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A GPU Approach to Fortran Legacy Systems

Mariano Mendez, Fernando G. Tinetti

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Tags: Computer science, CUDA, Fortran, nVidia, OpenACC, Programming techniques, Tesla C2075

October 29, 2012 by hgpu

Parallelized Segmentation of CT-Angiography datasets using CUDA

Daniel Fischl

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 425 M, Thesis

October 29, 2012 by hgpu

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Magnus Funder Halldal

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 280, Thesis

October 29, 2012 by hgpu

Investigating Host-Device communication in a GPU-based H.264 encoder

Kristoffer Egil Bonarjee

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Tags: CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 480, Prefetch, Thesis, Video encoding

October 28, 2012 by hgpu

Three dimensional tracking of gold nanoparticles using digital holographic microscopy

Frederic Verpillat, Fadwa Joud, Pierre Desbiolles, Michel Gross

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Tags: Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, Optics, Pattern recognition, Physics

October 28, 2012 by hgpu

Analysis & Design of Efficient Cryptographic Systems

Michael Lehmann

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Security, Stream Ciphers

October 28, 2012 by hgpu

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

Kristian Bredies, Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700

October 26, 2012 by hgpu

Finite Pointset Method for 2D Dam-Break Problem with GPU-Acceleration

M. Panchatcharam, S. Sundar

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Tesla M2050

October 26, 2012 by hgpu

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)

Nicholas John Moore

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Tags: Computer science, CUDA, FPGA, Image reconstruction, nVidia, Optimization, Tesis, Tesla C1060, Tesla C2070

October 26, 2012 by hgpu

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

James Laurence Brock

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Heterogeneous systems, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 560 Ti, OpenCL, Tesla C1060, Tesla S1070, Thesis

October 26, 2012 by hgpu

GPU-Based Asynchronous Global Optimization with Particle Swarm

M. P. Wachowiak, A. E. Lambe Foster

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Tags: Biological Physics, Computational Physics, CUDA, nVidia, Particle swarm optimization, Physics, Tesla S1070

October 25, 2012 by hgpu

Modular & Scalable Ultrasound Platform with GPU Processing

M. Lewandowski, M. Walczak, B. Witek, P. Kulesza, K. Sielewicz

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Tags: CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Signal processing, Ultrasound

October 25, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A GPU Approach to Fortran Legacy Systems

Parallelized Segmentation of CT-Angiography datasets using CUDA

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Investigating Host-Device communication in a GPU-based H.264 encoder

Three dimensional tracking of gold nanoparticles using digital holographic microscopy

Analysis & Design of Efficient Cryptographic Systems

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

Finite Pointset Method for 2D Dam-Break Problem with GPU-Acceleration

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

GPU-Based Asynchronous Global Optimization with Particle Swarm

Modular & Scalable Ultrasound Platform with GPU Processing

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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