Current

Research Projects

Current Active Projects

Moving towards self-adjusting scheduling policies for high performance workflows with Flux’s fully hierarchical scheduling
Funding bodies:
Lawrence Livermore National Laboratory
Role:
Principle investigator
Value:
$63,107.00
Duration:
Feb 1, 2019 – Jan 31, 2020
Description:
The project tackles scheduler specializations by systematically studying fully hierarchical scheduling models with Flux and defining models supporting a given workflow to employ the best scheduler specialization strategy at runtime.
CIF21 DIBBs: PD: Cyberinfrastructure Tools for Precision Agriculture in the 21st Century
Funding bodies:
National Science Foundation (NSF): Advanced Cyberinfrastructure (OAC)
Role:
Principle investigator(with Rodrigo Vargas co-PI, D)
Value:
$499,999.00
Duration:
Jul 1, 2017 – Jun 30, 2020
Driving Next-Generation Schedulers with Machine Learning-Based Application Patterns
Funding bodies:
Lawrence Livermore National Laboratory
Role:
Principle investigator
Value:
$199,569.00
Duration:
Jul 1, 2018 – Jun 30, 2020