Ashish Venkat
William Wulf Career Enhancement Assistant ProfessorDepartment of Computer Science
University of Virginia
Office: Rice 312
Email: <lastname>@virginia.edu
My research interests lie broadly in Computer Architecture, Compilers, and Computer Security. My research explores novel and cross-disciplinary hardware and software techniques to design secure systems that offer robust exploit mitigations, while maintaining high levels of performance, energy efficiency, and programmability. I'm also interested in applying novel machine learning techniques to detect and mitigate security threats, model dynamic execution behavior, and provide efficient hardware/runtime support to enable the seamless adoption of highly heterogeneous platforms and emerging computing paradigms.
I am looking for motivated graduate students who are interested in the general area of Computer Architecture, Compilers, and Security.
2021
2020
2019
2018
I am very fortunate to work with an outstanding group of graduate and undergraduate students.
Graduate Students
Rasool Sharifi
Lingxi Wu (co-advised with Kevin Skadron)
Xida Ren
Logan Moody
Undergraduate Students
Alumni
Layne Berry, BACS 2021, now pursuing Ph.D. at University of Texas, Austin
Joey Rudek, BACS 2021, now pursuing Ph.D. at University of California, San Diego
Xida Ren, Logan Moody, Mohammadkazem Taram, Matthew Jordan, Dean M. Tullsen, Ashish Venkat,
In Proceedings of the 48th ACM/IEEE International Symposium on Computer Architecture (ISCA), June, 2021.
[ Video | Proof-of-Concept Exploit Code ] [ Acceptance rate: 18% ]
Lingxi Wu, Rasool Sharifi, Marzieh Lenjani, Kevin Skadron, Ashish Venkat,
In Proceedings of the 48th ACM/IEEE International Symposium on Computer Architecture (ISCA), June, 2021.
[ Video ] [ Acceptance rate: 18% ]
Rasool Sharifi and Ashish Venkat,
In Proceedings of the 47th ACM/IEEE International Symposium on Computer Architecture (ISCA), June, 2020.
[ Video ] [ Acceptance rate: 18% ]
Mohammadkazem Taram, Ashish Venkat, Dean M. Tullsen,
In Proceedings of the 47th ACM/IEEE International Symposium on Computer Architecture (ISCA), June, 2020.
[ Video ] [ Acceptance rate: 18% ]
Andreas Prodromou, Ashish Venkat, Dean M. Tullsen,
In Proceedings of the 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), July, 2019.
Mohammadkazem Taram, Ashish Venkat, Dean M. Tullsen,
In IEEE Micro, Special Issue on the Top Picks from the Computer Architecture Conferences (IEEE Micro Top Picks), May, 2019. [ Acceptance rate: 9% ]
Theme Article!
Mohammadkazem Taram, Ashish Venkat, Dean M. Tullsen,
In Proceedings of the 24th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April, 2019.
[ Slides ] [ Acceptance rate: 21% ]
IEEE TCAD Top Pick for architecture/security/VLSI design conferences held between 2014-2019!
Mohammadkazem Taram, Dean M. Tullsen, Ashish Venkat, Houman Homayoun, Sai Manoj MD,
In Proceedings of the 44th Government Microcircuit Applications and Critical Technology Conference (GOMACTech), March, 2019.
Ashish Venkat, Harsha Basavaraj, Dean M. Tullsen,
In Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture (HPCA), February, 2019.
[ Slides ] [ Acceptance rate: 21% ]
Best Paper Award Runner-Up!
Andreas Prodromou, Ashish Venkat, Dean M. Tullsen,
In Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM), Feburary, 2019.
Ashish Venkat,
Doctoral Dissertation, UC San Diego, July, 2018.
Mohammadkazem Taram, Ashish Venkat, Dean M. Tullsen,
In Proceedings of the 45th ACM/IEEE International Symposium on Computer Architecture (ISCA), June, 2018.
[ Slides ] [ Acceptance rate: 17% ]
IEEE Micro Top Pick for architecture conferences held in 2018!
Manish Gupta, Vilas Sridharan, David Roberts, Andreas Prodromou, Ashish Venkat, Dean Tullsen, Rajesh Gupta,
In Proceedings of the 24th IEEE International Symposium on High Performance Computer Architecture (HPCA), February, 2018.
[ Slides ] [ Acceptance rate: 21% ]
Ashish Venkat, Sriskanda Shamasunder, Hovav Shacham, Dean M. Tullsen,
In Proceedings of the 21st ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April, 2016.
[ Slides | Poster ] [ Acceptance rate: 22% ]
Ashish Venkat, Arvind Krishnaswamy, Koichi Yamada, Rajan Palanivel,
United States Patent Grant US009135435B2, September, 2015
Ashish Venkat and Dean M. Tullsen,
In Proceedings of the 41st ACM/IEEE International Symposium on Computer Architecture (ISCA), June, 2014.
[ Slides ] [ Acceptance rate: 18% ]
Matthew DeVuyst, Ashish Venkat, Dean M. Tullsen,
In Proceedings of the 17th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March, 2012.
[ Slides ] [ Acceptance rate: 21% ]
CS 6501: Hardware Security, Fall 2018, Fall 2020.
CS 6354: Graduate Computer Architecture, Fall 2019, Fall 2021.
CS 3330: Undergraduate Computer Architecture, Spring 2019, Spring 2020, Spring 2021.
Ashish Venkat is an Assistant Professor in the Department of Computer Science at the University of Virginia, where he joined after obtaining a Ph.D. from UC San Diego. His research interests are in computer architecture and compilers, especially in instruction set design, processor microarchitecture, binary translation, code generation, and their intersection with computer security and machine learning. His work has been published at top-tier venues such as ISCA, ASPLOS, and HPCA, and has received funding from NSF, DARPA, and Intel. His work has been recognized as an IEEE Micro Top Pick among all top-tier Computer Architecture Conference papers published in 2019, IEEE TCAD Top Pick among all Hardware and Embedded Security papers published in Computer Architecture, Computer Security, and VLSI CAD conferences held in the five years between 2014 and 2019, and as the runner-up of the HPCA Best Paper Award in 2019. His dissertation research has been successfully ported and transferred to the Cloud Platforms division of the IBM Haifa Research Lab.