Distinguished Computational Science Lecture Series
CHMPR has initiated the Distinguished Computational Science Lecture Series that is held monthly on Thursday at 3 pm in the Information Technology and Engineering (ITE) Building at UMBC. A Tea will be held at 2 pm. For more information about the lecture, check the schedule below.
April 3, 2014 Image Registration for Multisource Remote Sensing
Jacqueline Le Moigne, NASA Goddard Space Flight Center
Satellite remote sensing systems provide large amounts of global coverage and repetitive measurements representing simultaneous or multi-temporal observations of the same features by different sensors; for example over the last 40 years, Landsat satellites have been acquiring more than 3 million images representing about one petabyte of data. Furthermore, most sensors are carried on separate platforms, resulting in a tremendous amount of data that must be combined. In meeting some of the Earth System Science objectives, the combination of all these data at various resolutions- spatial, radiometric and temporal - will facilitate a better understanding of Earth and space science phenomena, and image registration enables the first step towards this integration. More Information
November 1, 2012 Computational Science at the Argonne Leadership Computing Facility
Paul Messina, Argonne National Laboratory
The goal of the Argonne Leadership Computing Facility (ALCF) is to extend the frontiers of science by solving problems that require innovative approaches and the largest-scale computing systems. ALCF's current production computer has over 150,000 cores, and the system currently being readied
for production - Mira, an IBM Blue Gene/Q system - has nearly one million cores.
How does one program such systems? Are current software tools such as MPI and OpenMP available for such
systems. Are scientific and engineering applications able to scale to such levels of parallelism? Is
resilience a new concern for 1,000,000 production codes on Mira? This talk will address these
questions and describe a sampling of projects that are using ALCF systems in their research. Finally,
the ways to gain access to ALCF resources will be presented.
December 6, 2012 Parellel Real-Time OLAP on Multi-Core Processors
Frank Dehne, Carleton University, Ottawa, Canada
One of the most powerful and prominent technologies for knowledge discovery in Decision Support
systems is On-line Analytical Processing (OLAP). Most of the traditional OLAP research, and most of
the commercial systems, follow the static data cube approach proposed by Gray etal. and materialize
all or a subset of the cuboids of the data cube in order to ensure adequate query performance.
Practitioners have called for some time for a real-time OLAP approach where the OLAP system gets
updated instantaneously as new data arrives and always provides an up-to-date data warehouse for the
decision support process. More Information
February 28, 2013 - Cancelled
March 28, 2013 - Cancelled
April 25, 2013 Quantum Computer Compilers
Alfred Aho, Columbia University
Quantum computing is an exciting emerging field that offers great potential for next generation
information processing but also presents great scientific and engineering challenges. Assuming that someday we will be able to build scalable and reliable quantum computers, we will need to create programming languages and compilers that will allow programmers to harness quantum phenomena.
In this talk, Alfred Aho will look at quantum computing from a compiler writer's perspective and
discuss some of the formidable challenges that face quantum computer compilers.