This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
melange:papers:spring2021 [2021/02/08 07:01] lnarmour |
melange:papers:spring2021 [2021/02/08 08:10] (current) lnarmour |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | @misc{li2021analytical, | + | @article{10.5555/ |
+ | author = {Bingham, Eli and Chen, Jonathan P. and Jankowiak, Martin and Obermeyer, Fritz and Pradhan, Neeraj and Karaletsos, Theofanis and Singh, Rohit and Szerlip, Paul and Horsfall, Paul and Goodman, Noah D.}, | ||
+ | title = {Pyro: Deep Universal Probabilistic Programming}, | ||
+ | year = {2019}, | ||
+ | issue_date = {January 2019}, | ||
+ | publisher = {JMLR.org}, | ||
+ | volume = {20}, | ||
+ | number = {JMLR}, | ||
+ | issn = {1532-4435}, | ||
+ | loc = {J. Mach. Learn. Res.}, | ||
+ | month = jan, | ||
+ | pages = {973–978}, | ||
+ | numpages = {6}, | ||
+ | keywords = {probabilistic programming, | ||
+ | url = {https:// | ||
+ | } | ||
+ | |||
+ | |||
+ | @article{li2021analytical, | ||
title={Analytical Characterization and Design Space Exploration for Optimization of CNNs}, | title={Analytical Characterization and Design Space Exploration for Optimization of CNNs}, | ||
author={Rui Li and Yufan Xu and Aravind Sukumaran-Rajam and Atanas Rountev and P. Sadayappan}, | author={Rui Li and Yufan Xu and Aravind Sukumaran-Rajam and Atanas Rountev and P. Sadayappan}, | ||
Line 6: | Line 24: | ||
archivePrefix={arXiv}, | archivePrefix={arXiv}, | ||
primaryClass={cs.LG}, | primaryClass={cs.LG}, | ||
- | url={https:// | + | url={https:// |
+ | loc={The ACM Conference on Architectural Support for Programming Languages and Operating | ||
+ | Systems}, | ||
+ | number={ASPLOS} | ||
} | } | ||
Line 24: | Line 45: | ||
articleno = {40}, | articleno = {40}, | ||
numpages = {24}, | numpages = {24}, | ||
- | keywords = {Polyhedral model, Polyhedral code generation, Compiler verification} | + | keywords = {Polyhedral model, Polyhedral code generation, Compiler verification}, |
+ | loc = {Proc. ACM Program. Lang.} | ||
} | } | ||
Line 34: | Line 56: | ||
month={May}, | month={May}, | ||
day={01}, | day={01}, | ||
- | volume={521}, | + | number={521}, |
- | number={7553}, | + | |
pages={452-459}, | pages={452-459}, | ||
issn={1476-4687}, | issn={1476-4687}, | ||
doi={10.1038/ | doi={10.1038/ | ||
- | url={https:// | + | url={https:// |
+ | loc={Nature} | ||
+ | } | ||
+ | |||
+ | @article{10.1145/ | ||
+ | author = {Walia, Rajan and Narayanan, Praveen and Carette, Jacques and Tobin-Hochstadt, | ||
+ | title = {From High-Level Inference Algorithms to Efficient Code}, | ||
+ | year = {2019}, | ||
+ | issue_date = {August 2019}, | ||
+ | publisher = {Association for Computing Machinery}, | ||
+ | address = {New York, NY, USA}, | ||
+ | volume = {3}, | ||
+ | number = {ICFP}, | ||
+ | url = {https:// | ||
+ | doi = {10.1145/ | ||
+ | journal = {Proc. ACM Program. Lang.}, | ||
+ | month = jul, | ||
+ | articleno = {98}, | ||
+ | numpages = {30}, | ||
+ | keywords = {loop optimization, | ||
+ | loc = {Proc. ACM Program. Lang.} | ||
} | } |