Accelerating block-matching and 3D filtering method for image denoising on GPUs

Bobolang

article

Column-Oriented Data Store for Astrophysical Data

Combining CPU and GPU architectures for fast similarity search

article by Martin Kruliš et al published 23 May 2012 in Distributed and Parallel Databases

Creating Distributed Execution Plans with BobolangNG

Efficient Extraction of Feature Signatures Using Multi-GPU Architecture

article by Martin Kruliš et al published 2013 in Lecture Notes in Computer Science

Efficient extraction of clustering-based feature signatures using GPU architectures

Employing GPU architectures for permutation-based indexing

Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics

GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM

artículo científico publicado en 2024

Improving Parallel Processing of Matrix-Based Similarity Measures on Modern GPUs

Improving matrix-based dynamic programming on massively parallel accelerators

Is There a Free Lunch for Image Feature Extraction in Web Applications

Letting future programmers experience performance-related tasks

artículo científico publicado en 2021

Locality Aware Task Scheduling in Parallel Data Stream Processing

On the Parallelization of the SProt Measure and the TM-Score Algorithm

Optimizing Sorting and Top-k Selection Steps in Permutation Based Indexing on GPUs

Perils of Combining Parallel Distance Computations with Metric and Ptolemaic Indexing in kNN Queries

Permutation based indexing for high dimensional data on GPU architectures

scholarly article published June 2015

Processing the signature quadratic form distance on many-core GPU architectures

scholarly article published 2011

Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures

artículo científico publicado en 2024

SMILE – A Framework for Semantic Applications

Tackling Students' Coding Assignments with LLMs

artículo científico publicado en 2024

Towards Semi-automated Parallelization of Data Stream Processing