Keshav Pingali
Professor
Dr. Pingali works in programming languages and compiler technology for program understanding, optimization, and parallelization. His current research interests are methodologies and tools for programming multicore processors, with a focus on irregular applications from domains like graphics, social networks, and data mining.
Research
Research Interests:
- Compilers
- Multicore and high-performance computing
- Parallel computing
- Fault-tolerance
Current Research:
Dr. Pingali's current research is in compiler technology for program understanding, optimization, and parallelization.
Select Publications
X. Sui, A. Lenharth, D. Fussell and K. Pingali. 2016. Proactive control of approximate programs. Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS).
D. Prountzos, R. Manevich, and K. Pingali. 2015. Elixir: A system for synthesizing parallel graph programs. ACM Symposium on Programming Language Design and Implementation.
K. Pingali. 2011. The TAO of parallelism in programs. ACM Symposium on Programming Language Design and Implementation (PLDI).
M. Kulkarni, M. Burtscher, R. Inkulu, K. Pingali and C. Cascaval. 2009. How much parallelism is there in irregular applications?. ACM Symposium on Principles and Practice of Parallel Programming (PPoPP).
M. Kulkarni, K. Pingali, B. Walter, G. Ramanarayanan, K. Bala, and P. Chew. 2007. Optimistic parallelism requires abstractions. ACM Symposium on Programming Language Design and Implementation (PLDI).
Awards & Honors
2013 -
IIT Kanpur Distinguished Alumnus Award
2012 -
Fellow of the ACM
2010 -
Fellow of the American Association for the Advancement of Science
2010 -
Fellow of the IEEE
2000 -
N. Rama Rao Professor, Indian Institute of Technology
1998 -
Russell Teaching Award, Cornell University
1997 -
Ip-Lee Teaching Award, Cornell University
1989 -
NSF Presidential Young Investigator Award
1986 -
IBM Faculty Development Award
1978 -
President’s Gold Medal, Indian Institute of Technology
