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ORCIDRavishankar K. Iyer
Ravishankar Krishnan Iyer – Ravi K. Iyer
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- affiliation: University of Illinois at Urbana-Champaign, Center for Reliable & High Performance Computing (CRHC), IL, USA
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2020 – today
- 2024
[c252]Archit Patke
, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Queue Management for SLO-Oriented Large Language Model Serving. SoCC 2024: 18-35- [c251]Marco Barletta, Marcello Cinque, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Mutiny! How Does Kubernetes Fail, and What Can We Do About It? DSN 2024: 1-14 - [c250]Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
When Green Computing Meets Performance and Resilience SLOs. DSN-S 2024: 17-22 - [c249]Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer:
iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes. DSN 2024: 142-155 - [c248]Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravi K. Iyer:
FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms. MLSys 2024 - [c247]Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Security Testbed for Preempting Attacks against Supercomputing Infrastructure. SC Workshops 2024: 1781-1788 - [c246]Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC 2024: 75-93 - [c245]Limin Yang, Zhi Chen, Chenkai Wang, Zhenning Zhang, Sushruth Booma, Phuong Cao, Constantin Adam, Alexander Withers, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Gang Wang:
True Attacks, Attack Attempts, or Benign Triggers? An Empirical Measurement of Network Alerts in a Security Operations Center. USENIX Security Symposium 2024 - [i29]Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR abs/2404.08509 (2024) - [i28]Marco Barletta, Marcello Cinque, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Mutiny! How does Kubernetes fail, and what can we do about it? CoRR abs/2404.11169 (2024) - [i27]Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. CoRR abs/2407.00047 (2024) - [i26]Jakub Sowa, Bach Hoang, Advaith Yeluru, Steven Qie, Anita Nikolich, Ravishankar K. Iyer, Phuong Cao:
Post-Quantum Cryptography (PQC) Network Instrument: Measuring PQC Adoption Rates and Identifying Migration Pathways. CoRR abs/2408.00054 (2024) - [i25]Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K. Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S. Humble:
Dependable Classical-Quantum Computer Systems Engineering. CoRR abs/2408.10484 (2024) - [i24]Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Security Testbed for Preempting Attacks against Supercomputing Infrastructure. CoRR abs/2409.09602 (2024) - [i23]Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Nuñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar:
Transforming the Hybrid Cloud for Emerging AI Workloads. CoRR abs/2411.13239 (2024) - 2023
- [c244]Key-whan Chung, Phuong Cao, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
stealthML: Data-driven Malware for Stealthy Data Exfiltration. CSR 2023: 16-21 - [c243]Yuting Wu, Xin Lou, Pengfei Zhou, Rui Tan, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks. DSN-W 2023: 76-83 - [c242]Yuting Wu, Xin Lou, Pengfei Zhou, Rui Tan, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Effects of Learning-Based Action-Space Attacks on Autonomous Driving Agents. ICCPS 2023: 239-240 - [c241]Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer:
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. ML4H@NeurIPS 2023: 157-189 - [c240]Yurui Cao, Krishnakant V. Saboo, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer:
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER 2023: 1-4 - [c239]Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar:
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity. NeurIPS 2023 - [c238]Vanessa Tay, Xinran Li, Daisuke Mashima, Bennet Ng, Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Taxonomy of Fingerprinting Techniques for Evaluation of Smart Grid Honeypot Realism. SmartGridComm 2023: 1-7 - [c237]Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. USENIX ATC 2023: 387-402 - [i22]Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant V. Saboo, Blake Bordeaux, Puneet Bhullar, Nneka I. Comfere, David DiCaudo, Steven Nelson, Emma Johnson, Leah Swanson, Dennis Murphree, Aaron Mangold, Ravishankar K. Iyer:
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images. CoRR abs/2308.15618 (2023) - [i21]Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer:
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. CoRR abs/2310.01426 (2023) - 2022
- [j73]Zachary Stephens, Alejandro Ferrer, Lisa Boardman, Ravishankar K. Iyer, Jean-Pierre A. Kocher:
Telogator: a method for reporting chromosome-specific telomere lengths from long reads. Bioinform. 38(7): 1788-1793 (2022) - [j72]Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr., Ravishankar K. Iyer, Prashanthi Vemuri:
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage 251: 119020 (2022) - [j71]Bentolhoda Jafary, Saurabh Jha, Lance Fiondella, Ravishankar K. Iyer:
Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System. IEEE Trans. Reliab. 71(2): 603-615 (2022) - [c236]Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer:
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. BIBM 2022: 1157-1163 - [c235]Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
SIMPPO: a scalable and incremental online learning framework for serverless resource management. SoCC 2022: 306-322 - [c234]Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. DSN 2022: 88-100 - [c233]Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Reinforcement learning for resource management in multi-tenant serverless platforms. EuroMLSys@EuroSys 2022: 20-28 - [c232]Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Evaluating Hardware Memory Disaggregation under Delay and Contention. IPDPS Workshops 2022: 1221-1227 - [c231]Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar:
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation. NeurIPS 2022 - [i20]Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards. CoRR abs/2206.00886 (2022) - 2021
- [c230]Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: minimizing performance monitoring errors using Bayesian statistics. ASPLOS 2021: 832-844 - [c229]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 - [c228]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 - [c227]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 - [c226]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 - [i19]Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. CoRR abs/2102.10837 (2021) - [i18]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) - [i17]Haoran Qiu, Yongzhou Chen, Tianyin Xu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
SLO beyond the Hardware Isolation Limits. CoRR abs/2109.11666 (2021) - [i16]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
- [j70]Hui Lin, Homa Alemzadeh, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Challenges and Opportunities in the Detection of Safety-Critical Cyberphysical Attacks. Computer 53(3): 26-37 (2020) - [c225]Jingde Chen, Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Machine learning for load balancing in the Linux kernel. APSys 2020: 67-74 - [c224]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 - [c223]Yogatheesan Varatharajah, Brent M. Berry, Boney Joseph, Irena Balzekas, Václav Kremen, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer:
Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. EMBC 2020: 3460-3464 - [c222]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 - [c221]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 - [c220]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 - [c219]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 - [c218]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 - [c217]Yogatheesan Varatharajah, Haotian Chen, Andrew Trotter, Ravishankar K. Iyer:
A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. HealthRecSys@RecSys 2020: 21-22 - [c216]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 - [i15]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) - [i14]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) - [i13]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)
2010 – 2019
- 2019
- [j69]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) - [j68]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) - [j67]Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Zbigniew T. Kalbarczyk, Deming Chen, Steven S. Lumetta, Ravishankar K. Iyer:
ASAP: Accelerated Short-Read Alignment on Programmable Hardware. IEEE Trans. Computers 68(3): 331-346 (2019) - [j66]Hui Lin, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
RAINCOAT: Randomization of Network Communication in Power Grid Cyber Infrastructure to Mislead Attackers. IEEE Trans. Smart Grid 10(5): 4893-4906 (2019) - [c215]Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
AcMC 2 : Accelerating Markov Chain Monte Carlo Algorithms for Probabilistic Models. ASPLOS 2019: 515-528 - [c214]Yogatheesan Varatharajah, Krishnakant V. Saboo, Ravishankar K. Iyer, Scott A. Przybelski, Christopher G. Schwarz, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri:
A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. BIBM 2019: 1657-1664 - [c213]Subho S. Banerjee, James Cyriac, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks. DSN (Supplements) 2019: 25-26 - [c212]Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. DSN 2019: 112-124 - [c211]Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, Bill Kramer, Ravishankar K. Iyer:
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. Hot Interconnects 2019: 45-48 - [c210]Key-whan Chung, Phuong Cao, Yuming Wu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Alexander Withers:
TRACTION: an infrastructure for trusted alert sharing and collaborative mitigation. HotSoS 2019: 27:1-27:2 - [c209]Key-whan Chung, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Availability attacks on computing systems through alteration of environmental control: smart malware approach. ICCPS 2019: 1-12 - [c208]Krishnakant V. Saboo, Yogatheesan Varatharajah, Brent M. Berry, Michael R. Sperling, Richard J. T. Gorniak, Kathryn A. Davis, Barbara C. Jobst, Robert E. Gross, Bradley Lega, Sameer A. Sheth, Michael J. Kahana, Michal T. Kucewicz, Gregory A. Worrell, Ravishankar K. Iyer:
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER 2019: 323-327 - [c207]Phuong Cao, Yuming Wu, Subho S. Banerjee, Justin Azoff, Alexander Withers, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
CAUDIT: Continuous Auditing of SSH Servers To Mitigate Brute-Force Attacks. NSDI 2019: 667-682 - [c206]Key-whan Chung, Xiao Li, Peicheng Tang, Zeran Zhu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Thenkurussi Kesavadas:
Smart Malware that Uses Leaked Control Data of Robotic Applications: The Case of Raven-II Surgical Robots. RAID 2019: 337-351 - [i12]Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim M. Brandt, Ann C. Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Kramer:
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo. CoRR abs/1907.01019 (2019) - [i11]Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. CoRR abs/1907.01024 (2019) - [i10]Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. CoRR abs/1907.01051 (2019) - [i9]Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer:
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. CoRR abs/1907.05312 (2019) - [i8]Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer:
Live Forensics for Distributed Storage Systems. CoRR abs/1907.10203 (2019) - [i7]Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer:
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. CoRR abs/1909.02119 (2019) - 2018
- [j65]Zachary Stephens, Chen Wang, Ravishankar K. Iyer, Jean-Pierre A. Kocher:
Detection and visualization of complex structural variants from long reads. BMC Bioinform. 19-S(20): 67-77 (2018) - [j64]Arjun P. Athreya, Ravishankar K. Iyer, Drew Neavin, Liewei Wang, Richard M. Weinshilboum, Rima Kaddurah-Daouk, A. John Rush, Mark A. Frye, William V. Bobo:
Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder. IEEE Comput. Intell. Mag. 13(3): 20-31 (2018) - [j63]Saurabh Jha, Valerio Formicola, Catello Di Martino, Mark Dalton, William T. Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters. IEEE Trans. Dependable Secur. Comput. 15(6): 915-930 (2018) - [j62]Hui Lin, Adam J. Slagell, Zbigniew T. Kalbarczyk, Peter W. Sauer, Ravishankar K. Iyer:
Runtime Semantic Security Analysis to Detect and Mitigate Control-Related Attacks in Power Grids. IEEE Trans. Smart Grid 9(1): 163-178 (2018) - [j61]Hui Lin, Chen Chen, Jianhui Wang, Junjian Qi, Dong Jin, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Self-Healing Attack-Resilient PMU Network for Power System Operation. IEEE Trans. Smart Grid 9(3): 1551-1565 (2018) - [c205]Zachary D. Stephens, Ravishankar K. Iyer:
Measuring the Mappability Spectrum of Reference Genome Assemblies. BCB 2018: 47-52 - [c204]Subho S. Banerjee, Arjun P. Athreya, Zbigniew Kalbarczyk, Steven Lumetta, Ravishankar K. Iyer:
A ML-based Runtime System for Executing Dataflow Graphs on Heterogeneous Processors. SoCC 2018: 533-534 - [c203]Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. CLUSTER 2018: 562-570 - [c202]Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
AVFI: Fault Injection for Autonomous Vehicles. DSN Workshops 2018: 55-56 - [c201]Subho S. Banerjee, Saurabh Jha, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data. DSN 2018: 586-597 - [c200]Key-whan Chung, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Indirect cyber attacks by perturbation of environment control: a data driven attack model: poster. HotSoS 2018: 21:1 - [c199]Hui Lin, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Impact of Malicious SCADA Commands on Power Grids' Dynamic Responses. SmartGridComm 2018: 1-7 - [i6]Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Zbigniew T. Kalbarczyk, Deming Chen, Steven S. Lumetta, Ravishankar K. Iyer:
ASAP: Accelerated Short-Read Alignment on Programmable Hardware. CoRR abs/1803.02657 (2018) - [i5]Yogatheesan Varatharajah, Brent M. Berry, Sanmi Koyejo, Ravishankar K. Iyer:
A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. CoRR abs/1809.00258 (2018) - [i4]Yogatheesan Varatharajah, Brent M. Berry, Jan Cimbalnik, Václav Kremen, Jamie Van Gompel, Matt Stead, Benjamin H. Brinkmann, Ravishankar K. Iyer, Gregory A. Worrell:
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. CoRR abs/1812.06234 (2018) - 2017
- [j60]Yogatheesan Varatharajah, Ravishankar K. Iyer, Brent M. Berry, Gregory A. Worrell, Benjamin H. Brinkmann:
Seizure Forecasting and the Preictal State in Canine Epilepsy. Int. J. Neural Syst. 27(1): 1650046:1-1650046:12 (2017) - [j59]Rui Tan, Hoang Hai Nguyen, Yi Shyh Eddy Foo, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi:
Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control. IEEE Trans. Inf. Forensics Secur. 12(7): 1609-1624 (2017) - [j58]Cuong Pham, Long Wang, Byung-Chul Tak, Salman Baset, Chunqiang Tang, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Failure Diagnosis for Distributed Systems Using Targeted Fault Injection. IEEE Trans. Parallel Distributed Syst. 28(2): 503-516 (2017) - [j57]Catello Di Martino, Santonu Sarkar, Rajeshwari Ganesan, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Analysis and Diagnosis of SLA Violations in a Production SaaS Cloud. IEEE Trans. Reliab. 66(1): 54-75 (2017) - [c198]Zachary D. Stephens, Ravishankar K. Iyer, Chen Wang, Jean-Pierre A. Kocher:
Unraveling complex local genomic rearrangements from long-read data. BIBM 2017: 181-187 - [c197]Arjun P. Athreya, Subho S. Banerjee, Drew Neavin, Rima Kaddurah-Daouk, A. John Rush, Mark A. Frye, Liewei Wang, Richard M. Weinshilboum, William V. Bobo, Ravishankar K. Iyer:
Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods. CIBCB 2017: 1-9 - [c196]Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Gregory H. Bauer, Jeremy Enos, Michael T. Showerman, Larry Kaplan, Brett M. Bode, Annette Greiner, Amanda Bonnie, Mike Mason, Ravishankar K. Iyer, William Kramer:
Holistic Measurement-Driven System Assessment. CLUSTER 2017: 797-800 - [c195]Arjun P. Athreya, Don Armstrong, William Gundling, Derek E. Wildman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Prediction of adenocarcinoma development using game theory. EMBC 2017: 1668-1671 - [c194]Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Daniel Chen, Zbigniew T. Kalbarczyk, Deming Chen, Ravishankar K. Iyer:
ASAP: Accelerated Short Read Alignment on Programmable Hardware (Abstract Only). FPGA 2017: 293-294 - [c193]Subho S. Banerjee, Mohamed El-Hadedy, Ching Y. Tan, Zbigniew T. Kalbarczyk, Steven S. Lumetta, Ravishankar K. Iyer:
On accelerating pair-HMM computations in programmable hardware. FPL 2017: 1-8 - [c192]Read Sprabery, Zachary John Estrada, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Rakesh B. Bobba, Roy H. Campbell:
Trustworthy Services Built on Event-Based Probing for Layered Defense. IC2E 2017: 215-225 - [c191]