HOME    »    PROGRAMS/ACTIVITIES    »    Annual Thematic Program
IMA Thematic Year on Mathematics in High Performance Computing
September 1996 - June 1997

The program will concentrate on massively parallel algorithmic issues, molecular modeling and biomedical computations, and computational mechanics.

High performance computing and communication (HPCC) has become a major focus of attention by government, industry, and academic institutions. The U.S. government has made this a top national priority, linking the development of a "data superhighway system" to national competitiveness and national defense.

Many modeling efforts in earth science, biology, medicine, and mechanics are limited by the current speeds of computational engines and data transmission networks. Hardware advances in the next ten years will make even more massive computations possible, but effective use of the hardware will require a tremendous investment in research into the design of parallel algorithms and into the refinement of mathematical models.

  Full Description
  Organizing Committee
  Long-Term Visitors
  Postdoctoral Fellows
  Annual Program Workshops and Tutorials
9/9-11/96 Tutorial: The Message Passing Interface Standard (MPI)
9/11-13/96 Tutorial: High-Performance Fortran (HPF)
9/16-20/96 Workshop: Algorithms For Parallel Processing
10/21-25/96 Workshop: Evolutionary Algorithms
11/11-15/96 Workshop: The Mathematics of Informational Coding, Extraction and Distribution
11/18-20/96 Workshop: Data Mining and Industrial Applications
12/2-6/96 Workshop: 3D Scanning: from Physical Objects to Computer Models
1/20-23/97 Workshop: Molecular Structure: Dynamics, Geometry and Topology
3/17-21/97 Workshop: Computational Radiology and Imaging: Therapy and Diagnostics
4/3-4/97 Tutorial: Rational Drug Design
4/7-11/97 Workshop: Mathematical and Computational Issues in Drug Design
4/21-25/97 Tutorial: PDE Software
4/28-5/2/97 Workshop: Grid Generation and Adaptive Algorithms
5/12-16/97 Workshop: Parallel Processing of Discrete Problems
6/9-13/97 Workshop: Parallel Solution of PDE
Connect With Us: