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hgpu.org » Applications » Computer science » Computer vision

A Framework for the Volumetric Integration of Depth Images

Victor Adrian Prisacariu, Olaf Kahler, Ming Ming Cheng, Julien Valentin, Philip H.S. Torr, Ian D. Reid, David W. Murray

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Tags: Computer science, Computer vision, CUDA, nVidia

October 8, 2014 by hgpu

High performance histogramming on massively parallel processors

Wen-Mei Hwu

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Tags: Computer science, Computer vision, CUDA, Databases, Machine learning, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Thesis

September 20, 2014 by hgpu

Acceleration of stereo-matching on multi-core CPU and GPU

Tian Xu, Paul Cockshott, Susanne Oehler

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 770, Stereo vision

September 4, 2014 by hgpu

Surface Normal Integration for Convex Space-time Multi-view Reconstruction

Martin R. Oswald, Daniel Cremers

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan

August 27, 2014 by hgpu

Non-Local Total Generalized Variation for Optical Flow Estimation

Rene Ranftl, Kristian Bredies, Thomas Pock

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 780 Ti, Optical flow

August 13, 2014 by hgpu

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Mehran Maghoumi

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Tags: Computer science, Computer vision, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660, Package, Thesis

August 9, 2014 by hgpu

Discriminative Convolutional Sum-Product Networks on GPU

Tobias Hartmann

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Tags: Algorithms, Benchmarking, Computer science, Computer vision, CUDA, Neural networks, nVidia, Tesla K20, Thesis

August 1, 2014 by hgpu

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Kannappan Palaniappan

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Tags: Algorithms, Benchmarking, Cell processor, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Tesla C2070

July 24, 2014 by hgpu

Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method

Hon Ming Yip, John C. S. Li, Kai Xie, Xin Cui, Agrim Prasad, Qiannan Gao, Chi Chiu Leung, Raymond H. W. Lam

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 640

July 22, 2014 by hgpu

High Performance Low Power Embedded Vision Systems

Antonis S. Nikitakis

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Tags: Algorithms, ARM, Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCV, Thesis

July 22, 2014 by hgpu

Efficient On-the-fly Category Retrieval using ConvNets and GPUs

Ken Chatfield, Karen Simonyan, Andrew Zisserman

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Tags: Computer science, Computer vision, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX Titan, Pattern recognition

July 18, 2014 by hgpu

A Road Marking Extraction Method Using GPGPU

Dajun Ding, Jongsu Yoo, Jekyo Jung, Kwon Soon

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 760, OpenCL, Vehicular traffic

July 4, 2014 by hgpu

CATO: automatic source transformation to apply HPC frameworks with minimal user interaction

Compiler-assisted distribution of OpenMP code for improved scalability

ADIOS2.jl: a Julia interface to ADIOS2

Julia as a unifying end-to-end workflow language on the Frontier exascale system

Code generated HPC Kernels Using Llama-2-70b

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Scope is all you need: Transforming LLMs for HPC Code

pocl - Portable Computing Language

PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU

openCLDispatcher

Novel insights on atomic synchronization for sort-based group-by on GPUs

CEED Benchmarks

Performant low-order matrix-free finite element kernels on GPU architectures

Sieve: Stratified GPU-Compute Workload Sampling

EngineCL: Usability and Performance in Heterogeneous Computing

Mashing load balancing algorithm to boost hybrid kernels in molecular dynamics simulations

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A Framework for the Volumetric Integration of Depth Images

High performance histogramming on massively parallel processors

Acceleration of stereo-matching on multi-core CPU and GPU

Surface Normal Integration for Convex Space-time Multi-view Reconstruction

Non-Local Total Generalized Variation for Optical Flow Estimation

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Discriminative Convolutional Sum-Product Networks on GPU

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method

High Performance Low Power Embedded Vision Systems

Efficient On-the-fly Category Retrieval using ConvNets and GPUs

A Road Marking Extraction Method Using GPGPU

Recent source codes

CATO: automatic source transformation to apply HPC frameworks with minimal user interaction

ADIOS2.jl: a Julia interface to ADIOS2

Code generated HPC Kernels Using Llama-2-70b

Scope is all you need: Transforming LLMs for HPC Code

pocl - Portable Computing Language

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU

openCLDispatcher

CEED Benchmarks

Sieve: Stratified GPU-Compute Workload Sampling

EngineCL: Usability and Performance in Heterogeneous Computing

Most viewed papers (last 30 days)