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Parallelization Methods of the Template Matching Method on Graphics Accelerators

Gabor Kertesz, Sandor Szenasi, Zoltan Vamossy

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, Tesla K40

December 6, 2015 by hgpu

Semantic Segmentation of Colon Glands with Deep Convolutional Neural Networks and Total Variation Segmentation

Philipp Kainz, Michael Pfeiffer, Martin Urschler

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Tags: Algorithms, CUDA, Deep learning, Image processing, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan Black

November 29, 2015 by hgpu

A polyphase filter for many-core architectures

Karel Adamek, Jan Novotny, Wes Armour

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Tags: Algorithms, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 780 Ti, nVidia GeForce GTX 980, nVidia GeForce GTX Titan X, Signal processing, Tesla K40, Tesla K80, Tesla M2090

November 12, 2015 by hgpu

High Performance Adaptive Image Processing on Multi-scale Hybrid Architectures

Fangbin Liu

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Tags: Algorithms, CUDA, Distributed computing, Heterogeneous systems, Image processing, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Thesis

November 10, 2015 by hgpu

Software Defined Radio over CUDA

Marco Ribero

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Tags: CUDA, nVidia, nVidia GeForce GT 540 M, Signal processing, Thesis

November 3, 2015 by hgpu

Implementation of a Power Efficient Synthetic Aperture Radar Back Projection Algorithm on FPGAs Using OpenCL

David Fan

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Tags: Algorithms, FPGA, Heterogeneous systems, nVidia, OpenCL, SAR, Signal processing, Tesla K40, Thesis

October 18, 2015 by hgpu

Density-based parallel skin lesion border detection with webCL

James Lemon, Sinan Kockara, Tansel Halic, Mutlu Mete

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Tags: Algorithms, Bioinformatics, Clustering, Heterogeneous systems, Image processing, Java, OpenCL

October 16, 2015 by hgpu

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection

Gil Shapira, Tal Hassner

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 720, Package

October 8, 2015 by hgpu

CVC: The Contourlet Video Compression algorithm for real-time applications

Stamos Katsigiannis, Georgios Papaioannou, Dimitris Maroulis

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GXT 570, YCoCg

October 6, 2015 by hgpu

Efficient Kernel Fusion Techniques for Massive Video Data Analysis on GPGPUs

Asif M Adnan, Sridhar Radhakrishnan, Suleyman Karabuk

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Tags: Algorithms, CUDA, Image processing, Neuroscience, nVidia, nVidia GeForce GTX 750 Ti, Tesla C1060, Tesla K20

September 17, 2015 by hgpu

PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming

Riyadh Baghdadi, Ulysse Beaugnon, Albert Cohen, Tobias Grosser, Michael Kruse, Chandan Reddy, Sven Verdoolaege, Adam Betts, Alastair F. Donaldson, Jeroen Ketema, Javed Absar, Sven van Haastregt, Alexey Kravets, Anton Lokhmotov, Robert David, Elnar Hajiyev

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Tags: AMD Radeon R9 285, ARM, ATI, Computer science, DSL, High-level Languages, Image processing, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Signal processing

September 15, 2015 by hgpu

On GPU-Accelerated Fast Direct Solvers and Their Applications in Image Denoising

Mirko Myllykoski

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 580, OpenCL, Signal denoising, Tesla K40, Thesis

September 5, 2015 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

GPU plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

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