Subho S. Banerjee

Orcid: 0000-0001-7187-6569

According to our database1, Subho S. Banerjee authored at least 22 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Is Function-as-a-Service a Good Fit for Latency-Critical Services?
Proceedings of the WoSC '21: Proceedings of the Seventh International Workshop on Serverless Computing (WoSC7) 2021, 2021

Improved GPU Implementations of the Pair-HMM Forward Algorithm for DNA Sequence Alignment.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021

BayesPerf: minimizing performance monitoring errors using Bayesian statistics.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020
ML-driven Malware that Targets AV Safety.
CoRR, 2020

Live forensics for HPC systems: a case study on distributed storage systems.
Proceedings of the International Conference for High Performance Computing, 2020

FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters.
Proceedings of the 37th International Conference on Machine Learning, 2020

ML-Driven Malware that Targets AV Safety.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

Machine learning for load balancing in the Linux kernel.
Proceedings of the APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 2020

2019
ASAP: Accelerated Short-Read Alignment on Programmable Hardware.
IEEE Trans. Computers, 2019

Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters.
CoRR, 2019

CAUDIT: Continuous Auditing of SSH Servers To Mitigate Brute-Force Attacks.
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

AcMC <sup>2 </sup>: Accelerating Markov Chain Monte Carlo Algorithms for Probabilistic Models.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
AVFI: Fault Injection for Autonomous Vehicles.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

A ML-based Runtime System for Executing Dataflow Graphs on Heterogeneous Processors.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
On accelerating pair-HMM computations in programmable hardware.
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

ASAP: Accelerated Short Read Alignment on Programmable Hardware (Abstract Only).
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016
Efficient and Scalable Workflows for Genomic Analyses.
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016


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