- 2021
- Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: minimizing performance monitoring errors using Bayesian statistics. ASPLOS 2021: 832-844 - Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan:
A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding. DATE 2021: 1400-1403 - Enliang Li, Subho S. Banerjee, Sitao Huang, Ravishankar K. Iyer, Deming Chen:
Improved GPU Implementations of the Pair-HMM Forward Algorithm for DNA Sequence Alignment. ICCD 2021: 299-306 - Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Delay sensitivity-driven congestion mitigation for HPC systems. ICS 2021: 342-353 - Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik:
Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation. ISQED 2021: 547-552 - Haoran Qiu, Saurabh Jha, Subho S. Banerjee, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Is Function-as-a-Service a Good Fit for Latency-Critical Services? WOSC@Middleware 2021: 1-8 - Arthi Padmanabhan, Anand Padmanabha Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali:
Towards memory-efficient inference in edge video analytics. HotEdgeVideo@MobiCom 2021: 31-37 - Chaunte Lacewell, Nilesh A. Ahuja, Pablo Munoz, Parual Datta, Ragaad AlTarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer:
E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations. NAS 2021: 1-8 - Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer:
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. NeurIPS 2021: 20903-20915 - Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. CoRR abs/2102.10837 (2021) - Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz, Suvadeep Banerjee, Abhijit Davare, Pasquale Cocchini, Anton A. Sorokin, Ravi Iyer, Nilesh Jain:
RHNAS: Realizable Hardware and Neural Architecture Search. CoRR abs/2106.09180 (2021) - Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer:
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. CoRR abs/2106.16187 (2021) - Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Mitigating Sampling Bias and Improving Robustness in Active Learning. CoRR abs/2109.06321 (2021) - Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Improving Robustness and Efficiency in Active Learning with Contrastive Loss. CoRR abs/2109.06873 (2021) - Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving. CoRR abs/2110.09998 (2021) - 2020
- Jingde Chen, Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Machine learning for load balancing in the Linux kernel. APSys 2020: 67-74 - Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
ML-Driven Malware that Targets AV Safety. DSN 2020: 113-124 - Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. ICML 2020: 629-641 - Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer:
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. ISBI 2020: 1326-1330 - Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. ISSRE 2020: 25-36 - Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic:
RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization. NetSoft 2020: 335-343 - Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Benjamin Lim, Mike Showerman, Greg Bauer, Larry Kaplan, Zbigniew Kalbarczyk, William Kramer, Ravi K. Iyer:
Measuring Congestion in High-Performance Datacenter Interconnects. NSDI 2020: 37-57 - Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices. OSDI 2020: 805-825 - Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Live forensics for HPC systems: a case study on distributed storage systems. SC 2020: 65 - Ravishankar Subramani Iyer, Rita Orji:
Cognitive load in Games for Health - A discussion. SeGAH 2020: 1-5 - Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
ML-driven Malware that Targets AV Safety. CoRR abs/2004.13004 (2020) - Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices. CoRR abs/2008.08509 (2020) - Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Application-aware Congestion Mitigation forHigh-Performance Computing Systems. CoRR abs/2012.07755 (2020) - 2019
- Jacob R Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael Kalmbach, Katherine Irene Kendig, Eric W. Klee, Nathan R Mattson, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila S. Mainzer:
Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinform. 20(1): 557:1-557:9 (2019) - Jacob R Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael Kalmbach, Katherine Irene Kendig, Eric W. Klee, Nathan R Mattson, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila S. Mainzer:
Correction to: Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinform. 20(1): 722 (2019)