Deepak Rajan

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 10

Top Topics

Level Parallelism

Precedence Constraints

Top Venues

IPDPS Workshops

Stat. Anal. Data Min.

Publications

Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks. IEEE Trans. Signal Process. 69 (2021)
Kevin Ryan, Shabbir Ahmed, Santanu S. Dey, Deepak Rajan, Amelia Musselman, Jean-Paul Watson
Optimization-Driven Scenario Grouping. INFORMS J. Comput. 32 (3) (2020)
Lluís-Miquel Munguía, Geoffrey Oxberry, Deepak Rajan, Yuji Shinano
Parallel PIPS-SBB: multi-level parallelism for stochastic mixed-integer programs. Comput. Optim. Appl. 73 (2) (2019)
Kathleen L. Schmidt, Ralph Smith, Jason M. Hite, John K. Mattingly, Yousry Y. Azmy, Deepak Rajan, Ryan A. Goldhahn
Sequential optimal positioning of mobile sensors using mutual information. Stat. Anal. Data Min. 12 (6) (2019)
Georgios Patsakis, Ignacio Aravena, Deepak Rajan
A Stochastic Program for Black Start Allocation. HICSS (2019)
Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn
Byzantine-Resilient Locally Optimum Detection Using Collaborative Autonomous Networks. CoRR (2018)
Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn
Byzantine-Resilient locally optimum detection using collaborative autonomous networks. CAMSAP (2017)
Lluís-Miquel Munguía, Geoffrey Oxberry, Deepak Rajan
PIPS-SBB: A Parallel Distributed-Memory Branch-and-Bound Algorithm for Stochastic Mixed-Integer Programs. IPDPS Workshops (2016)
Kevin Ryan, Deepak Rajan, Shabbir Ahmed
Scenario Decomposition for 0-1 Stochastic Programs: Improvements and Asynchronous Implementation. IPDPS Workshops (2016)
Pelin Damci-Kurt, Simge Küçükyavuz, Deepak Rajan, Alper Atamtürk
A polyhedral study of production ramping. Math. Program. 158 (1-2) (2016)
Guojing Cong, Carol Meyers, Deepak Rajan, Tiziano Parriani
Parallel Strategies for Solving Large Unit Commitment Problems in the California ISO Planning Model. IPDPS (2015)
Peter Lindstrom, Deepak Rajan
Optimal hierarchical layouts for cache-oblivious search trees. ICDE (2014)
Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu
Fast Nearest Neighbor Search on Large Time-Evolving Graphs. ECML/PKDD (1) (2014)
Peter Lindstrom, Deepak Rajan
Optimal Hierarchical Layouts for Cache-Oblivious Search Trees. CoRR (2013)
Rohit Khandekar, Kirsten Hildrum, Deepak Rajan, Joel L. Wolf
Scheduling with Setup Costs and Monotone Penalties. FSTTCS (2012)
Joel L. Wolf, Andrey Balmin, Deepak Rajan, Kirsten Hildrum, Rohit Khandekar, Sujay Parekh, Kun-Lung Wu, Rares Vernica
On the optimization of schedules for MapReduce workloads in the presence of shared scans. VLDB J. 21 (5) (2012)
Joel L. Wolf, Andrey Balmin, Deepak Rajan, Kirsten Hildrum, Rohit Khandekar, Sujay Parekh, Kun-Lung Wu, Rares Vernica
CIRCUMFLEX: a scheduling optimizer for MapReduce workloads with shared scans. ACM SIGOPS Oper. Syst. Rev. 46 (1) (2012)
Yongmin Tan, Hiep Nguyen, Zhiming Shen, Xiaohui Gu, Chitra Venkatramani, Deepak Rajan
PREPARE: Predictive Performance Anomaly Prevention for Virtualized Cloud Systems. ICDCS (2012)
Joel L. Wolf, Deepak Rajan, Kirsten Hildrum, Rohit Khandekar, Vibhore Kumar, Sujay Parekh, Kun-Lung Wu, Andrey Balmin
FLEX: A Slot Allocation Scheduling Optimizer for MapReduce Workloads. Middleware (2010)
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB J. 19 (4) (2010)
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Joel L. Wolf, Kun-Lung Wu, Henrique Andrade, Bugra Gedik
COLA: Optimizing Stream Processing Applications via Graph Partitioning. Middleware (2009)
Sujay Parekh, Kirsten Hildrum, Deepak Rajan, Joel L. Wolf, Kun-Lung Wu
Characterizing, constructing and managing resource usage profiles of system S applications: challenges and experience. CIKM (2009)
Joel L. Wolf, Nikhil Bansal, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Rohit Wagle, Kun-Lung Wu
Job Admission and Resource Allocation in Distributed Streaming Systems. JSSPP (2009)
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Jay Sethuraman, Joel L. Wolf
Bounded Size Graph Clustering with Applications to Stream Processing. FSTTCS (2009)
Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu
Ownership protection of shape datasets with geodesic distance preservation. EDBT (2008)
Alper Atamtürk, Deepak Rajan
Partition inequalities for capacitated survivable network design based on directed p-cycles. Discret. Optim. 5 (2) (2008)
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
Rights Protection of Trajectory Datasets. ICDE (2008)
Joel L. Wolf, Nikhil Bansal, Kirsten Hildrum, Sujay Parekh, Deepak Rajan, Rohit Wagle, Kun-Lung Wu, Lisa Fleischer
SODA: An Optimizing Scheduler for Large-Scale Stream-Based Distributed Computer Systems. Middleware (2008)
Deepak Rajan, Philip S. Yu
Temperature-Aware Scheduling: When is System-Throttling Good Enough? WAIM (2008)
Deepak Rajan, Philip S. Yu
On Temperature-Aware Scheduling for Single-Processor Systems. HiPC (2007)
Deepak Rajan, Philip S. Yu
Discovering Partial Orders in Binary Data. ICDM (2006)
Deepak Rajan, Alper Atamtürk
A directed cycle-based column-and-cut generation method for capacitated survivable network design. Networks 43 (4) (2004)
Alper Atamtürk, Deepak Rajan
On splittable and unsplittable flow capacitated network design arc-set polyhedra. Math. Program. 92 (2) (2002)