Matthew Wolf Research Scientist CERCS Center School of Computer Science College of Computing Georgia Institute of Technology

Biography

Dr. Matthew Wolf is a member of the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. His position is as a Research Scientist in the School of Computer Science of the College of Computing at Georgia Institute of Technology, as well as being a joint appointment with Oak Ridge National Laboratory.  His background in Mathematics and computational Physics as well as High Performance Computing shapes much of his research interest in computer operating systems, middleware, and CS education.

His research targets high performance, scalable applications, particularly focused on I/O and adaptive event middlewares. Specific research topics include adaptive I/O interfaces, metadata-rich data services, creation of dynamic, semantic indexes for scientific data, and  handling and fusion of heterogeneous data types.  His work has been sponsored by NSF, DoE, Oak Ridge, Intel, HP, and Cisco, among others.  He is an active part of the MWare research group within CERCS, headed by Dr. Karsten Schwan, and Matthew has served as co-director and/or director of the Interactive High Performance Computing Laboratory (IHPCL) since 2000.  His work on education has focused on infusing some of the excitement of modern systems research into existing curriculum through a modular, case-driven approach, particularly addressing the multi-/many-core transition.  He has served as the co-leader of the Educational Alliance for a Parallel Future (EAPF) since early 2010, and he has been a member of the group prior to it having a formal name.

 

Current research projects and laboratories

Note:  This is in the process of being updated!

• The IHPC Lab -- the Interactive High Performance Computing Laboratory and project is a university-wide effort to which Intel Corporation has granted multiple high performance cluster computers, each of substantial size. These clusters provide a low-cost solution to high performance computing for parallel and distributed scientific applications. Current research may be categorized into three areas: (1) grand challenge applications, (2) interactive high performance computing, and (3) underlying network support. Grand challenge applications include, but are not limited to, large-scale optimization problems solved by members of Georgia Tech's School of Industrial and Systems Engineering, molecular dynamics modeling conducted by researchers in Georgia Tech's School of Physics, and turbulent combustion modeling investigated in the School of Aerospace Engineering. The `I' in IHPCL reflects its key goal of supporting collaboration and interaction among end users via those applications that are most meaningful to them. Our research includes dynamic program steering and monitoring, the efficient transport of large data flows across heterogeneous machines, the real-time transformation and filtering of the data needed for remote scientific visualizations, the dynamic control of such data flows via active user interfaces, and the remote manipulation of computational tools by multiple end users. An earlier project addressing related issues was the Distributed Laboratories project.
• The Infosphere and M-Ware projects -- address future systems that are composed of users, sensors, actuators, and high performance or data-intensive programs running on distributed heterogeneous hardware/software platforms. The ECho and JECho communication middleware, the MOSS/JMOSS object models, and the Active Streams approach to application-level distributed adaptation are some of the bases on which these projects are developing underlying enabling software technology, middleware, and quality management methods as well as applications that require such infrastructure. The resulting applications constructed with M-ware mechanisms and supported by its quality management policies are further enriched by (i) those elements of the Infosphere project that actively seek new information sources during execution (e.g., Continual Queries), and (ii) novel program composition and specialization technologies being developed by Infosphere researchers. Our joint vision focuses on information flow rather than computing, thereby exploring new paradigms in how to construct future, complex distributed, parallel, and real-time applications.

Contact information

Matthew Wolf

College of Computing
Georgia Tech, Atlanta GA 30332-0765
Office: Klaus Advanced Computing Building (KACB) Rm. 3323
Phone: (404) 385-1278
Fax: (404) 385-2295
mwolf@cc.gatech.edu