| Automatic detection of inter-application permission leaks in android applications D Sbîrlea, MG Burke, S Guarnieri, M Pistoia, V Sarkar IBM Journal of Research and Development 57 (6), 10: 1-10: 12, 2013 | 110 | 2013 |
| Leveraging application classes to save power in highly-utilized data centers K Kaffes, D Sbirlea, Y Lin, D Lo, C Kozyrakis Proceedings of the 11th ACM Symposium on Cloud Computing, 134-149, 2020 | 22 | 2020 |
| Bounded memory scheduling of dynamic task graphs D Sbîrlea, Z Budimlić, V Sarkar Proceedings of the 23rd international conference on Parallel architectures …, 2014 | 22 | 2014 |
| Folding of tagged single assignment values for memory-efficient parallelism D Sbîrlea, K Knobe, V Sarkar Euro-Par 2012 Parallel Processing: 18th International Conference, Euro-Par …, 2012 | 22 | 2012 |
| Finding Tizen security bugs through whole-system static analysis D Song, J Zhao, M Burke, D Sbîrlea, D Wallach, V Sarkar arXiv preprint arXiv:1504.05967, 2015 | 9 | 2015 |
| The flexible preconditions model for macro-dataflow execution D Sbîrlea, A Sbîrlea, KB Wheeler, V Sarkar 2013 Data-Flow Execution Models for Extreme Scale Computing, 51-58, 2013 | 9 | 2013 |
| Phaser beams: Integrating stream parallelism with task parallelism J Shirako, D Peixotto, D Sbirlea, V Sarkar X10 Workshop, 2011 | 6 | 2011 |
| Dynamic scheduling algorithms for workflow applications in grid environment A Simion, D Sbirlea, F Pop, V Cristea 2009 11th International Symposium on Symbolic and Numeric Algorithms for …, 2009 | 6 | 2009 |
| Scnc: Efficient unification of streaming with dynamic task parallelism D Sbirlea, J Shirako, R Newton, V Sarkar 2011 First Workshop on Data-Flow Execution Models for Extreme Scale …, 2011 | 2 | 2011 |
| Static Data Flow Analysis for Vulnerable Permission Configurations of Android Applications EIR Silva Hamburg University of Technology. Master of Science Thesis, 2015 | 1 | 2015 |
| BMS-CnC: Bounded memory scheduling of dynamic task graphs D Sbîrlea, Z Budimlic, V Sarkar | 1 | 2013 |
| SCnC: Efficient Unification of Streaming with Dynamic Task Parallelism D Sbîrlea, J Shirako, R Newton, V Sarkar International Journal of Parallel Programming 44 (2), 233-256, 2016 | | 2016 |
| Memory and Communication Optimizations for Macro-dataflow Programs DD Sbirlea | | 2015 |
| Integrating Stream Parallelism and Task Parallelism in a Dataflow Programming Model V Sarkar Rice University, 2011 | | 2011 |
| Monitoring and Performance Analysis of Workflow Applications in Large Scale Distributed Systems D Sbirlea, A Simion, F Pop, V Cristea Intelligent Networking, Collaborative Systems and Applications, 171-191, 2011 | | 2011 |
| Monitoring Workflow Applications in Large Scale Distributed Systems D Sbirlea, A Simion, F Pop, V Cristea 2009 International Conference on Intelligent Networking and Collaborative …, 2009 | | 2009 |
| Integrating Stream and Task Parallelism in a Dataflow Programming Model D Sbîrlea, J Shirako, R Newton, V Sarkar | | |
| Dragoş Sbîrlea, Jun Shirako, Ryan Newton & Vivek Sarkar IJP Prog | | |
Vivek SarkarSchool of Computer Science, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
