Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML

Proceedings of the VLDB Endowment - United States
doi 10.14778/2732286.2732292
Full Text
Abstract

Available in full text

Date
Authors
Publisher

VLDB Endowment

Related search

Gene Prediction in Metagenomic Fragments: A Large Scale Machine Learning Approach

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2008English

SBAG: A Hybrid Deep Learning Model for Large Scale Traffic Speed Prediction

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Automatic Database Management System Tuning Through Large-Scale Machine Learning

2017English

Large-Scale Parallelization of Partial Evaluations in Evolutionary Algorithms for Real-World Problems

2018English

Parallelization of Large Vector Similarity Computations in a Hybrid CPU+GPU Environment

Journal of Supercomputing
HardwareInformation SystemsTheoretical Computer ScienceArchitectureSoftware
2017English

Alarming Large Scale of Flight Delays: An Application of Machine Learning

2010English

Parallelization Strategies for Hybrid Metaheuristics Using a Single GPU and Multi-Core Resources

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Parallelization Strategies for the Ant System

High Performance Algorithms and Software in Nonlinear Optimization
1998English

Efficient Surrogate Modeling Methods for Large-Scale Earth System Models Based on Machine-Learning Techniques

Geoscientific Model Development
EarthSimulationPlanetary SciencesModeling
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy