Professor Nodari Sitchinava has received a three-year, $600,000 grant from the National Science Foundation for a project entitled Parallel Cache-efficient Data Structures.
“The goal of this project is to understand the power and limitations of various existing models of parallel and I/O-efficient computation and to apply the gained knowledge to discover new techniques for designing data structures that are both parallel and cache-efficient. Data structures are essential to simplifying software development and contributing to code reuse. This project will produce a number of parallel cache-efficient data structures, hence contributing to the overall goal of simplifying software design and increasing code reuse on modern high-performance systems.”
Students interested in working on the project should visit the Algorithms and Parallel Computing Group website.