Elizabeth Jessup
Location: (Boulder, Colorado)
Personal Research Web Page: http://www.cs.colorado.edu/~jessup
Keywords: numerical linear algebra, numerical software, high-performance computing, memory-effiicient computing, computer science education, women in computing
Posted on: Thursday, May 26th, 2011
Broad Research Area: Computer Science Education / Educational Technology, Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing
Research Interests:
My research concerns the development of efficient algorithms and software
for matrix algebra problems This work began with the development of
innovative memory-efficient algorithms and, more recently, has moved
toward tools to aid in programming of matrix algebra software. I have
recently been collaborating with experts in compiler technology, focusing
on compilers that create fast numerical software. Our initial focus
has been on making efficient use of the memory hierarchy on a single
processor but we are moving into multicore and GPU implementations.
I am also interested in usability of scientific software. To that end,
I am working with collaborators on a tool to automate the construction
of numerical software. Given a problem specification, the tool will
find and tune appropriate routines for its solution.
I was co-developer of an award-winning, NSF-funded undergraduate
curriculum in high-performance scientific computing and have continued
to work on innovative approaches to education in my field. I have
also conducted research on factors that influence women’s interest in
computer science.
Contact Information:
email obfuscated - click to reveal
303 492 0211
