CMSC 33001Topics in Systems
Catalog Description: Current topics in computer systems.
Long Description:Topic for Winter 2013 taught by Henry Hoffmann:
Topics in Power and Energy Aware Computing Objective: Expose students to the topics and state of the art in computing systems designed to account for energy and power as primary constraints. Topics will include the emergence of power and energy issues in general purpose computing systems, energy management as a tradeoff, and application, system, and hardware approaches to addressing power and energy constraints.
* Paper reading
* Project building an energy-aware computing system
Topic for Spring 2013 taught by Andrew Chien:
Data Intensive Computing Systems
Objective: Expose students to the technical challenges of data-intensive computing systems, including canonical driving problems, research systems, and emerging technologies. Develop a broad familiarity with the state of the art, including leading edge research in the area, and hands-on experience with a range of systems which together provide a solid preparation for research in the area.
* paper reading, presentation and discussion
* hands-on labs/projects with leading edge data-intensive computing systems
* invited speakers from leading companies and projects
Topic for Winter 2014 taught by Rick Stevens:
Scalable Sequence Analysis Methods for Next Generation Sequencing
Next Generation Sequencing (NGS) devices have dramatically increased the volume of DNA sequencing data that can be produced and dramatically lowering cost. The resulting large-scale data sets (a terabase per project is not uncommon) challenge existing analysis methods and tools. In this seminar we will explore scalable methods for sequence assembly, mapping, annotation, variation detection and comparative analysis. We will focus on alignment-free methods as well as hardware accelerated and parallel implementations of alignment based approaches. We will also discuss implications of these problems and methods for software infrastructures and computer architectures. Students will be expected to have some experience with parallel programming and C or C++.
Quarter offered: WIN
Last Verified by Sharon Salveter on 18 February, 2013.