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2020 – today
- 2021
[c11]Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang:
Scaling Average-Linkage via Sparse Cluster Embeddings. ACML 2021: 1429-1444- [c10]Jeremy Buhler
, Thomas Lavastida, Kefu Lu, Benjamin Moseley:
A Scalable Approximation Algorithm for Weighted Longest Common Subsequence. Euro-Par 2021: 368-384
2010 – 2019
- 2019
- [c9]Kunal Agrawal, I-Ting Angelina Lee, Jing Li, Kefu Lu, Benjamin Moseley:
Practically Efficient Scheduler for Minimizing Average Flow Time of Parallel Jobs. IPDPS 2019: 134-144 - [c8]Silvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley:
A Framework for Parallelizing Hierarchical Clustering Methods. ECML/PKDD (1) 2019: 73-89 - 2018
- [c7]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Scheduling Parallelizable Jobs Online to Maximize Throughput. LATIN 2018: 755-776 - 2017
- [j1]Shalmoli Gupta, Ravi Kumar, Kefu Lu, Benjamin Moseley, Sergei Vassilvitskii:
Local Search Methods for k-Means with Outliers. Proc. VLDB Endow. 10(7): 757-768 (2017) - [c6]Gustavo Malkomes, Kefu Lu, Blakeley Hoffman, Roman Garnett, Benjamin Moseley, Richard P. Mann:
Cooperative Set Function Optimization Without Communication or Coordination. AAMAS 2017: 1109-1118 - [c5]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Brief Announcement: Scheduling Parallelizable Jobs Online to Maximize Throughput. SPAA 2017: 87-89 - 2016
- [c4]Shaurya Ahuja, Kefu Lu, Benjamin Moseley:
Partitioned Feasibility Tests for Sporadic Tasks on Heterogeneous Machines. IPDPS 2016: 1013-1020 - [c3]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Scheduling Parallel DAG Jobs Online to Minimize Average Flow Time. SODA 2016: 176-189 - [c2]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Scheduling Parallelizable Jobs Online to Minimize the Maximum Flow Time. SPAA 2016: 195-205 - 2014
- [c1]Kunal Agrawal, Jeremy T. Fineman, Kefu Lu, Brendan Sheridan, Jim Sukha, Robert Utterback:
Provably good scheduling for parallel programs that use data structures through implicit batching. SPAA 2014: 84-95
Coauthor Index
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