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Colloquium – P. (Saday) Sadayappan
March 7 @ 4:00 pm - 5:00 pm
P. (Saday) Sadayappan
Ohio State University
March 7, 2019
lecture – 4:00pm
Host: Hari Sundar
Post-Moore Software Development Challenges
The end of Moore’s Law scaling for VLSI technology implies that significant performance increases for future generations of processors cannot derive from increased transistors counts. Instead, hardware customization and more efficient use of hardware resources are expected to be the primary means of performance improvement. Hence, the already challenging task of application software development will get even harder. Advances in software infrastructure such as compilers will be crucial to assist application developers achieve high-performance without loss of productivity and portability.
A very fundamental challenge faced by compilers is data-locality optimization. The cost of data movement far exceeds the cost of performing arithmetic/logic operations on current processors, both in terms of energy as well as execution time. But while the computational complexity of most practically used algorithms is quite well understood, the same is not true of data-movement complexity. There is a need to develop new abstractions and methodologies, and create tools for characterization and optimization of data movement. This talk will discuss challenges and some promising directions in the quest to achieve the three desirables of performance, productivity, and portability.
P. (Saday) Sadayappan is Professor of Computer Science and Engineering and a University Distinguished Scholar at the Ohio State University. His research interests include optimizing compilers, domain/pattern-specific performance optimization, and data-movement complexity of computations. He collaborates closely with computational scientists and data scientists in developing domain-specific frameworks and applications. Sadayappan is a Fellow of the IEEE.