My research broadly falls into the general areas of parallel and distributed computing with a focus on green High Performance Computing (HPC) and extreme-scale computing. Specifically, my main research addresses key issues to enable the scalability and energy efficiency of next generation computing systems, including:

Complementing the previous key research issues, my research also considers cloud computing mechanisms and abstractions for large-scale computing systems and includes the federation of various types of advanced cyber-infrastructure for running complex Computational and Data-Enabled Scientific and Engineering (CDS&E) problems.

These are important challenges and in its Strategy for American Innovation, the Obama administration listed extreme-scale computing among the Grand Challenges of the 21st century in science, technology and innovation.


Federal Grants

Project Title: II-NEW: An Experimental Platform for Investigating Energy-Performance Tradeoffs for Systems with Deep Memory Hierarchies
PI: Manish Parashar, Co-PIs: Ivan Rodero, Dario Pompili
National Science Foundation (NSF CRI)
Amount and Dates: $300,000 (10/01/2013 - 09/30/2016)

Project Title: Scalable Data Coupling Abstraction for Data-Intensive Simulation Workflows
PI: Manish Parashar, Co-PI: Ivan Rodero
National Science Foundation (NSF CDSE)
Amount and Dates: $547,283 (05/01/2013 - 04/30/2016)

Project Title: Exploring Cloud Paradigm and Practices for Science and Engineering
PI: Manish Parashar, Co-PIs: Ivan Rodero, Javier Diaz
National Science Foundation (NSF EAGER)
Amount and Dates: $299,984 (06/01/2013 - 05/31/2015)

Access to Cyber-Infrastructure

Project Title: Cross-Layer Application-Aware Power/Energy Management on Systems with Deep Memory Hierarchies and Accelerators
PI: Ivan Rodero
Beacon Project, National Science Foundation (May'13 - Present)
Amount: 7,500 node hours (i.e., 120,000 CPU-core hours + 1.8M MIC-core hours)

Project Title: Adaptive Parametric Space Exploration and Data Assimilation on Federated Heterogeneous Resources
PI: Javier Diaz, Co-PIs: Ivan Rodero, Manish Parashar
Source of Support: National Science Foundation XSEDE startup grant CCR130025 (Mar'13 - Present)
Amount: 100,000 SUs

Project Title: Towards Extreme Scale Computing in Federated HPC Cyber-infrastructure
PI: Ivan Rodero
Source of Support: US Department of Energy NERSC startup awards 85357/86428 (Oct'11 - Present)
Amount: 100,000 SUs (startup + production)

Project Title: Evaluation of MPI Collectives for HPC Applications on Distributed Virtualized Environments
PI: Ivan Rodero
Source of Support: National Science Foundation Future Grid project number 159 (Oct'11 - Present)

Project Title: Towards Layered Cloud Federation Model in HPC Cyber-infrastructure
PI: Ivan Rodero
Source of Support: National Science Foundation XSEDE startup grant CCR110035 (Oct'11 - Apr'13)
Amount: 175,000 SUs

Current Research Projects

Green High Performance Computing ( (Sep'09 - Present)

This is my main area of research that I have developed and lead at Rutgers since I joined. It includes several efforts in the intersection of energy efficiency, scalable computing and high performance computing. This effort is one of the first to explore key related problems, including:

Cloud Abstractions for CDS&E (Sep'11 - Present)

The goal of this project is to understand science and engineering application formulations that are meaningful in a hybrid federated cyber- infrastructure that includes clouds, and to explore programming and middleware support that can enable these applications, including application formulations, programming models, abstractions and systems, and middleware stacks and services. Key efforts include:

Content-based Medical Image Retrieval (Jan'12 - Present)

The overarching goal of this project is to develop mechanisms and techniques based on novel software and technologies to accelerate medical image processing algorithms and enable their execution at scale on high performance and distributed computing systems. In collaboration with Center for Biomedical Imaging & Informatics at UMDNJ-Robert Wood Johnson, Medical School at The Cancer Institute of New Jersey.

Cross-layer Autonomic Research (NSF I/UCRC under award 0758596) (Sep'09 - Present)

The I/UCRC focuses on multi university research on improving the design and engineering systems that are capable of funning themselves, adapting their resources and operations to current workloads and anticipating the needs of their users. The project aims at improving hardware, networks and storage, middleware, service and information layers used by modern industry.

Technology Transfer Projects

Previous Projects (2003-2009)