Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach
Article in International Journal of Geographical Information Science (June 2016)
Job Scheduling Strategies for Parallel Processing
Overview of attention for book
Table of Contents
-
Altmetric BadgeBook Overview
-
Altmetric BadgeChapter 1 Provably Efficient Two-Level Adaptive Scheduling
-
Altmetric BadgeChapter 2 Scheduling Dynamically Spawned Processes in MPI-2
-
Altmetric BadgeChapter 3 Advance Reservation Policies for Workflows
-
Altmetric BadgeChapter 4 On Advantages of Scheduling Using Genetic Fuzzy Systems
-
Altmetric BadgeChapter 5 Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach
-
Altmetric BadgeChapter 6 Adaptive Job Scheduling Via Predictive Job Resource Allocation
-
Altmetric BadgeChapter 7 A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing
-
Altmetric BadgeChapter 8 Volunteer Computing on Clusters
-
Altmetric BadgeChapter 9 Load Balancing: Toward the Infinite Network and Beyond
-
Altmetric BadgeChapter 10 Symbiotic Space-Sharing on SDSC’s DataStar System
-
Altmetric BadgeChapter 11 Modeling Job Arrivals in a Data-Intensive Grid
-
Altmetric BadgeChapter 12 On Grid Performance Evaluation Using Synthetic Workloads
Attention for Chapter 5:
Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach