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Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

Renato Farias, Ricardo Farias, Ricardo Marroquim, Esteban Clua

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Tags: Algorithms, Clustering, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 470

July 19, 2013 by hgpu

Fast PCA-BAsed Face Recognition on GPUs

Youngsang Woo, Cheongyong Yi, Youngmin Yi

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

July 12, 2013 by hgpu

Feature Tracking in Time-Varying Volumetric Data through Scale Invariant Feature Transform

Khoa Tan Nguyen, Timo Ropinski

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Tags: Algorithms, Computer science, Computer vision, OpenCL, SIFT

July 12, 2013 by hgpu

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Zeinab Farhoudi, Ali Broumandnia, Elham Askary, Sara Motamed

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

July 8, 2013 by hgpu

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Altaf Ahmad Huqqani, Erich Schikuta, Sicen Ye, Peng Chen

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, OpenMP, Tesla C1060

June 16, 2013 by hgpu

Real-time planar flow velocity measurements using an optical flow algorithm implemented on GPU

N. Gautier, J-L. Aider

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Tags: Algorithms, Computer vision, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 580, Optical flow, Physics

June 13, 2013 by hgpu

OpenCL Implementation of a Color Based Object Tracking

Marko Jocic, Dorde Obradovic, Zora Konjovic, Daniel Tertei

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 420, OpenCL

June 12, 2013 by hgpu

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Roelof Kemp, Nicholas Palmer, Thilo Kielmann, Henri Bal, Bastiaan Aarts, Anwar Ghuloum

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Tegra

June 4, 2013 by hgpu

Coating Process Monitoring Using Computer Vision

Erik Veijola

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, OpenCV, Thesis

June 4, 2013 by hgpu

Using sparse optical flow for multiple Kinect applications

Kai Berger, Yannic Schroeder, Stefan Guthe, Marc Aurel Kastner

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 690, Optical flow

June 4, 2013 by hgpu

Efficient GPU-based Graph Cuts for Stereo Matching

Young-kyu Choi, In Kyu Park

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

May 29, 2013 by hgpu

Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Floris De Smedt, Kristof Van Beeck, Tinne Tuytelaars and Toon Goedeme

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295

May 13, 2013 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

Fast PCA-BAsed Face Recognition on GPUs

Feature Tracking in Time-Varying Volumetric Data through Scale Invariant Feature Transform

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Real-time planar flow velocity measurements using an optical flow algorithm implemented on GPU

OpenCL Implementation of a Color Based Object Tracking

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Coating Process Monitoring Using Computer Vision

Using sparse optical flow for multiple Kinect applications

Efficient GPU-based Graph Cuts for Stereo Matching

Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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