Karsten Schwan's Biosketch


Karsten Schwan is a professor in the College of Computing at the Georgia Institute of Technology. He is also the Director of the Center for Experimental Research in Computer Systems (CERCS), with co-directors from both GT's College of Computing and School of Electrical and Computer Engineering. The NSF-sponsored CERCS research center's faculty conduct research in experimental computer systems in the domains of Enterprise, High Performance, and Embedded/Pervasive Systems, with members from industry and from federal agencies.

Prof. Schwan's M.S. and Ph.D. degrees are from Carnegie-Mellon University in Pittsburgh, Pennsylvania, where he began his research in high performance computing, addressing operating and programming systems support for the Cm* multiprocessor. At the Ohio State University, he established the PArallel, Real-time Systems (PARTS) Laboratory, containing both custom embedded processors and commercial parallel machines, and conducting research on operating and programming system support for cluster computing and for adaptive real-time systems.

At Georgia Tech, his work ranges from topics in operating and communication systems, to middleware, to parallel and distributed applications, focusing on information-intensive distributed applications in the enterprise domain (e.g., the operational information systems supporting large enterprises) and in the high performance domain (e.g., high performance I/O, remote data visualization, and online collaboration). Technical topics currently being pursued in these domains span (1) scalable techniques for virtualizing and managing future multi-core and multi-machine platforms, (2) efficient methods for managing applications and services across multiple machines, including new techniques for runtime performance and behavior monitoring and understanding, (3) middleware for high performance data movement, addressing I/O in future petascale machines and QoS-sensitive data streaming in pervasive and wide area systems, and (4) experimentation with representative applications in the HPC, enterprise, and pervasive domains.

He can reached at and at www.cc.gatech.edu/~schwan