Teaching

• Summer Workshops

• Advanced Certificate in Computational Science

• High-Performance Computing (Associated with Advanced Certificate in Computational Science)

• CSE 701: Cyberinfrastructure (Spring 2008)

  • Cluster Installs, John Bannen

  • Condor Installation, Madhavi Nadig

  • Construction of the MCIL Cyberinfrastructure Lab, Michael Rokitka

  • Clusters Topology, by Zoran Obradovic

  • Virtual Memory Machines, by Zoran Obradovic

• CSE 633: Parallel Algorithms (Spring 2008)

• CSE 510: Cyberinfrastructure (Fall 2007)

• Concepts and Challenges of Grid Programming, Michel Rokitka
• Grid Cookbook: Grid Case Studies, John Bannen
• Grid Cookbook: What Grids Can Do For You, John Bannen
• Open Science Grid, Zoran Obradovic
• Grid Monitoring, Zoran Obradovic
• The Cyberinfrastructure Laboratory, the New York State Grid, and the New York State Grass-Roots Cyberinfrastructure Initiative, Russ Miller
• Globus - GTK and Grid Services, Michael Rokitka

• CSE 633: Parallel Algorithms (Sp2007)

• UB CCR: PBS User's Guide, guest lecture by Dr.Matt Jones, Center for Computational Research
• Intermediate MPI, guest lecture by Dr.Matt Jones, Center for Computational Research
• Advanced MPI Features, guest lecture by Dr.Matt Jones, Center for Computational Research
• Practical Parallel Programming, guest lecture by Dr.Matt Jones, Center for Computational Research
• Quick Reference for Compiling and Running MPI Applications, guest lecture by Dr.Matt Jones, Center for Computational Research

• Seminar on Grid Computing

This seminar series (2004-present) focuses on fundamental aspects of Grid computing and Cyberinfrastructure. Some of the student presentations are available below.

• Grid Scheduling Ontology, Shreyansh Vakil, Fall 2006

• Data Grids, Hanumant Singh, Fall 2006

• Semantic Grids, Arun Mirpuri, Fall 2006

• Grid Resource Broker, Abhishek Singh, Fall 2006

• Grid Security Infrastructure, Sergey Chernokozinskiy, Fall 2006

• Approaches to Resource Discovery in Computational Grids, Anurag Bhardwaj, Fall 2006

• SnBDCV: Distributed Collaborative Visualization, Amin Ghadersohi, Fall 2006

• Open Grid Services Architecture and Data Grids, Karthik Ram Venkataramani, Spring 2004

• Autonomic Computing and Grid, Catherine L. Ruby, Spring 2004

• Narada Brokering, Martins Innus, Spring 2004

• Data Grid Scenario Builder, Catherine L. Ruby, Spring 2004

• Grid Resource Allocation, Teena Vyas, Spring 2004

• Condor and the Grid, Karthikram Venkatarmani, Spring 2004

• Peer-to-Peer Grids, Michael Fritz, Spring 2004

• Data Grid Generating Tool, Catherine L. Ruby, Spring 2004

• Introduction to Scientific Computing

This course offers an introduction to the fundamental numerical techniques used in high-performance scientific computing. These methods include sorting, numerical integration, root finding for nonlinear systems, elementary linear algebra, and basic ordinary differential equations. The emphasis of this course is on an experimental approach to scientific computing. The students will learn the basics of Unix, will write and debug programs in FORTRAN, and will use computational and visualization tools in Matlab.

• Fall, 1995

• Introduction to Analysis of Algorithms

This course is concerned with the design, analysis, and implementation of algorithms for sequential and parallel models of computation

• Spring, 1996

• Spring, 1997

• Spring, 1998

• Seminar on WWW

This "seminar" is open to graduate students and undergraduates, by permission of instructor. Topics to be covered include HTML, CGI, perl, Java, and issues of security, to name a few.

• Spring, 1997

• Spring, 1998