Subho S. Banerjee

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 26

Top Topics

Markov Chain Monte Carlo

Autonomous Vehicles

Sequence Alignment

Signal Processor

Top Venues

WOSC@Middleware

Publications

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)
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)
Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. CoRR (2021)
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
BayesPerf: minimizing performance monitoring errors using Bayesian statistics. ASPLOS (2021)
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 (2020)
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. ICML (2020)
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)
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)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
ML-driven Malware that Targets AV Safety. CoRR (2020)
Jingde Chen, Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Machine learning for load balancing in the Linux kernel. APSys (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. OSDI (2020)
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)
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)
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)
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 (2019)
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) (2019)
Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. CoRR (2019)
Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
: Accelerating Markov Chain Monte Carlo Algorithms for Probabilistic Models. ASPLOS (2019)
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 (2018)
Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
AVFI: Fault Injection for Autonomous Vehicles. DSN Workshops (2018)
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)
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)
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)
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)
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)
Subho S. Banerjee, Arjun P. Athreya, Liudmila S. Mainzer, C. Victor Jongeneel, Wen-mei W. Hwu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Efficient and Scalable Workflows for Genomic Analyses. DIDC@HPDC (2016)