Dr. Salim Hariri is a Professor in the Department of Electrical and Computer Engineering at The University of Arizona. He received his Ph.D. in computer engineering from University of Southern California in 1986, and an MSc from The Ohio State University in 1982.
Dr. Hariri is the Editor-In-Chief for the CLUSTER COMPUTING JOURNAL (Springer, http://www.springer.com/journal/10586) that presents research techniques and results in the area of high speed networks, parallel and distributed computing, software tools, and network-centric applications. He is the Director of the NSF Center for Autonomic Computing, University of Arizona Site. He is the Founder of the IEEE International Symposium on High Performance Distributed Computing (HPDC) and the co-founder of the IEEE International Conference on Autonomic Computing.
His current research focuses on autonomic computing, high performance distributed computing, design and analysis of high speed networks, benchmarking and evaluating parallel and distributed systems, developing software design tools for high performance computing and communication systems, and network-centric applications.
He is co-author/editor of four books on parallel and distributed computing: Autonomic Computing: Concepts, Infrastructure, and Applications (CRC Press, 2007), Tools and Environments for Parallel and Distributed Computing (Wiley, 2004), Virtual Computing: Concept, Design and Evaluation (Kluwer, 2001), and Active Middleware Services (Kluwer, 2000).
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Faculty Resource Center Material
Dr. Hariri has contributed the following Windows HPC 2008 Cluster information to the Faculty Resource Center.
Performance Evaluation and Analysis of Applications Running on the University of Arizona Microsoft Windows HPC 2008 Cluster
They have ported and experimented with two applications: GEMS and Kepler Workflow.
Abstract
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3-D High Performance EM Application
A full-wave electromagnetic (EM) simulator (3-D High Performance Parallel EM Simulation Software and System) called "GEMS" (http://www.2comu.com/) has been installed and running on the Microsoft HPC cluster system. It is a 3-D EM simulation and post-processing software based on conformal finite-difference-time-domain (FDTD) technique. Because it gives full support to distributed parallel computations, large EM problems become solvable and solving process is relatively fast.
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Kepler Workflow Application
The Kepler application is being developed to implement Application Discovery Cycles (ADC) that will speed up research and discovery. The ADC application elements include an environmental simulator, a sensor simulator, data turbine (DT), biophysical models, and data-intensive processing elements (e.g. MATLAB). The environmental simulator constructs an environment that is an idealized representation of how ecosystem science describes reality. The Data Turbine (DT) is the central data and metadata repository for the ADC.
The University of Arizona ECE 677: Distributed Computing Systems class Microsoft Windows HPC 2008 Cluster
In this PowerPoint presentation the following material is discussed:
- Introduction to Windows HPC Server 2008
- HPC Server 2008 and Hyper-V Virtualization
- Windows HPC Server 2008 and ACL Projects
- Autonomic Power and Performance Management in Datacenters
- Scale-Right Provisioning in Next Generation Datacenters
- ADC and B2 Project