Teaching

• Summer Workshops

• Advanced Certificate in Computational Science

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

• CSE 710: Programming Massively Parallel GPGPU Systems

  • Overview of Magic, Kevin Clearly, 9/2009.
  • CUDA, OpenMPI, OpenMP Basics, Matt Heavner, 9/2009.

• CSE 331: Introduction to Algorithms

  • Spring 2009

• 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 (Text is Parallel Algorithms for Regular Architectures.)

  • Spring 2009: Covers both theoretical and experimental (hands-on) parallel algorithms.
    • Supercomputing in Plain English: A High Performance Computing Workshop Series, Spring 2009 Workshop. Lectures and Exercises available as well as live meetings via Access Grid, Polycom, QuickTime Broadcaster, etc.
    • Short Homework Assignment, which was used as Hwk #3 in HPC1, Fall 2008. The MPI version of this assignment implemented on U2 (CCR) is due in 1 week. Thanks to Dr. Matt Jones for providing this.
    • Introduction to Using the High Performance Cluster at the Center for Computational Research, guest lecture by Ms. Cynthia Cornelius, Center for Computational Research
    • Overview of Parallel Programming at CCR, a guest lecture by Dr.Matt Jones, Center for Computational Research

    • Intermediate MPI, guest lecture by Dr.Matt Jones, Center for Computational Research
    • Advanced MPI, guest lecture by Dr.Matt Jones, Center for Computational Research
    • Shared Memory Programming with OpenMP, guest lecture by Dr.Matt Jones, Center for Computational Research
    • Practical Issues in OpenMP, guest lecture by Dr.Matt Jones, Center for Computational Research
    • Application Performance Tuning, guest lecture by Dr.Matt Jones, Center for Computational Research
    • MPI Quick Reference: Compiling/Running, guest lecture by Dr.Matt Jones, Center for Computational Research
    • Fingerprints via EM, Chang Su

    • Identification of Functional Modules in Protein Interaction Networks, Lei Shi

    • Parallel AutoClass, Kevin Keane

    • A Parallel Algorithms for Maximal Clique Detection, Steven Kapturowski

    • Stationary Temperature Distribution in a Square Plate, Jesper Dybdahl Hede

    • Parallel implementation of FRAME - Filters, Random Fields and Maximum Entropy, Rocardo Nagel Rogrigues

    • Title, Student

    • Title, Student

  • Spring 2008
  • Spring 2007

• 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

• 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, 1998

• Spring, 1997

• Spring, 1996

• 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, 1998

• Spring, 1997