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Vernon Austel
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2020 – today
- 2024
- [c8]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) 2024: 12859-12870 - 2023
- [j4]Ibrahim Abdelaziz
, Maxwell Crouse
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 738-751 (2023) - 2021
- [i3]Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. CoRR abs/2106.03906 (2021) - [i2]Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh:
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery. CoRR abs/2109.01634 (2021) - 2020
- [i1]Vernon Austel, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Tyler R. Josephson, Nimrod Megiddo:
Symbolic Regression using Mixed-Integer Nonlinear Optimization. CoRR abs/2006.06813 (2020)
2010 – 2019
- 2017
- [j3]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. IEEE Trans. Parallel Distributed Syst. 28(6): 1703-1714 (2017) - 2016
- [j2]Field G. Van Zee, Tyler M. Smith, Bryan Marker, Tze Meng Low
The BLIS Framework: Experiments in Portability. ACM Trans. Math. Softw. 42(2): 12:1-12:19 (2016) - 2014
- [c7]Tara N. Sainath, I-Hsin Chung, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Brian Kingsbury, George Saon, Vernon Austel, Upendra V. Chaudhari:
Parallel deep neural network training for LVCSR tasks using blue gene/Q. INTERSPEECH 2014: 1048-1052 - [c6]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. SC 2014: 745-753
2000 – 2009
- 2006
- [c5]François Gygi, Erik W. Draeger, Martin Schulz
Gordon Bell finalists I - Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform. SC 2006: 45 - [c4]Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda:
Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. SC 2006: 46 - 2002
- [j1]Gerhard Schellhorn, Wolfgang Reif
Verified Formal Security Models for Multiapplicative Smart Cards. J. Comput. Secur. 10(4): 339-368 (2002) - 2000
- [c3]Gerhard Schellhorn, Wolfgang Reif, Axel Schairer, Paul A. Karger, Vernon Austel, David C. Toll:
Verification of a Formal Security Model for Multiapplicative Smart Cards. ESORICS 2000: 17-36
1990 – 1999
- 1998
- [c2]Sean W. Smith, Vernon Austel:
Trusting Trusted Hardware: Towards a Formal Model for Programmable Secure Coprocessors. USENIX Workshop on Electronic Commerce 1998 - 1991
- [c1]Indranil Chakravarty, Michael F. Kleyn, Thomas Y. C. Woo, Rajive L. Bagrodia, Vernon Austel:
UNITY to UC: A Case Study in the Derivation of Parallel Programs. Research Directions in High-Level Parallel Programming Languages 1991: 6-20
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