Rohan Basu Roy

I am an incoming Assistant Professor (tenure-track) in the Kahlert School of Computing and SCI Institute at the University of Utah. I perform research on scheduling and optimizations on various forms of parallel and distributed computing systems like cloud computing, serverless platforms, and HPC/supercomputing systems. The goal of my research is to improve the productivity, cost-effectiveness, and sustainability of these large-scale systems. The tools and solutions from my works are largely open-sourced, regularly reproduced and used in the systems research community.

My works have appeared in several highly competitive systems research venues, in recognition of which I have received the ACM-IEEE CS George Michael Memorial HPC Fellowship, MLCommons ML and Systems Rising Star recognition, and other departmental awards and recognitions. My Ph.D. is in Computer Engineering from Northeastern University Boston, advised by Prof. Devesh Tiwari.

Hiring multiple PhD students/ Post-Docs for Fall 2025: Love building computing systems and/or passionate about improving environmental sustainability and equity via computing? Interested in scaling systems performance using modern forms of accelerators, quantum computing, or other special-purpose architectures? Join me to perform high-throughput systems research and make a positive impact. The best way to get a response is to provide specific reasons of why you would want to work with me.

Publications

ASPLOS 2025 ImitationGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments
Rohan Basu Roy, Vijay Gadepally, and Devesh Tiwari, International Conference on Architectural Support for Programming Languages and Operating Systems Storage and Analysis.
SoCC 2024 The Hidden Carbon Footprint of Serverless Computing
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, and Devesh Tiwari, ACM Symposium on Cloud Computing.[Paper][Code]
SC 2024 ECOLIFE: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
Yankai Jiang, Rohan Basu Roy, Baolin Li, and Devesh Tiwari. International Conference on High-Performance Computing, Networking, Storage and Analysis. [Paper][Code]
SIGMETRICS 2024 StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows
Rohan Basu Roy, and Devesh Tiwari. International Conference on Measurement and Modeling of Computer Systems. [Paper][Code]
ASPLOS 2024 CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization
Rohan Basu Roy, Tirthak Patel, Rohan Garg, and Devesh Tiwari. International Conference on Architectural Support for Programming Languages and Operating Systems Storage and Analysis. [Paper][Code]
ASPLOS 2024 RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing
Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, and Seung-Jong Park. International Conference on Architectural Support for Programming Languages and Operating Systems Storage and Analysis. [Paper][Code]
SC 2023 Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems
Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, and Devesh Tiwari. International Conference on High-Performance Computing, Networking, Storage and Analysis. [Paper][Code]

HPDC 2023 ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.
Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, and Devesh Tiwari. International Symposium on High-Performance Parallel and Distributed Computing. [Paper][Code]
SC 2022 DayDream: Executing Dynamic Scientific Workflows on Serverless Platforms with Hot Starts
Rohan Basu Roy, Tirthak Patel, and Devesh Tiwari. International Conference on High-Performance Computing, Networking, Storage and Analysis. [Paper][Code]
ASPLOS 2022 IceBreaker: Warming Serverless Functions Better with Heterogeneity
Rohan Basu Roy, Tirthak Patel, and Devesh Tiwari. International Conference on Architectural Support for Programming Languages and Operating Systems Storage and Analysis. [Paper][Code]

PPoPP 2022 MASHUP: Making Serverless Computing Useful for HPC Workflows
Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, and Devesh Tiwari. International Symposium on Principles and Practice of Parallel Programming. [Paper][Code]
HPCA 2022 AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications
Baolin Li, Tirthak Patel, Sid Samsi, Vijay Gadepally, Rohin Arora, Rohan Basu Roy, Devesh Tiwari, et al. International Symposium on High-Performance Computer Architecture. [Paper][Code]
IISWC 2021 Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications
Rohan Basu Roy, Tirthak Patel, and Devesh Tiwari. International Symposium on Workload Characterization. [Paper][Code]
ISCA 2021 SATORI: Efficient and Fair Resource Partitioning by Sacrificing Short-Term Benefits for Long-Term Gains
Rohan Basu Roy, and Devesh Tiwari. International Symposium on Computer Architecture. [Paper][Code]
PLDI 2021 BLISS: Auto-tuning Complex Applications Using a Pool of Diverse Lightweight Learning Models
Rohan Basu Roy, Tirthak Patel, Devesh Tiwari, and Vijay Gadepally. International Conference on Programming Language Design and Implementation. [Paper][Code]
SC 2021 Ribbon: Cost-Effective and QoS-Aware Deep Learning Model Inference Using a Diverse Pool of Cloud Computing Instances
Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, and Devesh Tiwari. International Conference on High-Performance Computing, Networking, Storage and Analysis. [Paper][Code]
HPCA 2021 Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures
Rohan Basu Roy, Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, Paul Rich, Adam Scovel, and Bill Allcock. International Symposium on High-Performance Computer Architecture. [Paper][Code]
SC 2020 Experimental Evaluation of NISQ Quantum Computers: Error Measurement, Characterization, and Implications
Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, and Devesh Tiwari. International Conference on High-Performance Computing, Networking, Storage and Analysis. [Paper][Code] (Best Paper Finalist, Best Student Paper Finalist)
ATC 2020 UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers
Tirthak Patel, Baolin Li, Rohan Basu Roy, and Devesh Tiwari. USENIX Annual Technical Conference. [Paper][Code]
CEC 2019 Design of a Computationally Economical Image Classifier using Generic Features
Rohan Basu Roy, Anisha Halder Roy, Amit Konar, and Atulya Nagar. Congress in Evolutionary Computation. [Paper][Code]
IJAMT 2020 Digital twin: current scenario and a case study on a manufacturing process
Rohan Basu Roy, Debasish Mishra, Surjya K Pal, Tapas Chakravarty, Satanik Panda, M Girish Chandra, Arpan Pal, Prateep Misra, Debashish Chakravarty, and Sudip Misra. International Journal of Advanced Manufacturing Technology. [Paper][Code]
JMP 2018 A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0
Debasish Mishra, Rohan Basu Roy, Samik Dutta, Surjya K Pal, and Debashish Chakravarty. Journal of Manufacturing Processes. [Paper][Code]
IJAMT 2018 Weld defect identification in friction stir welding through optimized wavelet transformation of signals and validation through X-ray micro-CT scan
Rohan Basu Roy, Alekhya Ghosh, Soham Bhattacharyya, Raju P Mahto, Kanchan Kumari, Surjya K Pal, and Srikanta Pal. International Journal of Advanced Manufacturing Technology. [Paper][Code]

Awards and Recognition

2023 ACM/IEEE-CS George Michael Memorial HPC Fellowship

The ACM-IEEE CS George Michael Memorial HPC Fellowship is endowed in memory of George Michael, one of the founders of the SC Conference series. The fellowship honors exceptional PhD students throughout the world whose research focus is on high performance computing applications, networking, storage, or large-scale data analytics using the most powerful computers that are currently available.

Awarded “for methods and tools that exploit cloud computing and on-premise HPC resources to enhance the productivity of computational scientists and the sustainability of HPC.”

Media: ACM Press Release, IEEE Press Release, HPCwire Press Release, Northeastern Global News

2023 MLCommons ML and Systems Rising Star

MLCommons Rising Stars is a cohort of 35 early-to-late-stage and recently graduated PhD students working at the intersection of Machine Learning (ML) and Systems research. The MLCommons Rising Stars program provides a unique platform for a diverse range of emerging researchers to present their research to industry and academic experts, build new skills, and establish academic and industry collaborations.

Media: MLCommons Press Release

2023 Northeastern University ECE Excellence in Research Award and PhD Spotlight Recognition

Awarded annually to top four students in ECE in terms of highest research contributions.

Media: Northeastern University News

Misc.

2022 Northeastern University Nominee for JP Morgan Ph.D. Fellowship (only two nominations allowed per university)
2022 Nominee for 2022 ECE Outstanding Graduate Student Research Award
2021 Northeastern University Nominee for Microsoft Research Ph.D. Fellowship (only four nominations allowed per university)
2021 Nominee for 2021 ECE Outstanding Graduate Student Research Award
2023 Travel Award, Student Travel Award to attend MVAPICH User Group (MUG) Conference
2022 Travel Award, TCHPC Award to attend Supercomputing’ 22 Conference
2020 Travel Award, USENIX Award to attend USENIX FAST’ 20 Conference
2019 Travel Award, Calcutta University International Travel Scholarship
Patent on Cloud Based Remote Manufacturing with Machine Learning Based Real Time Control, Patent Reference Number: 201831024813, Filing Date: 03/07/18, Patent App. No. TEMP/E-1/27190/2018- KOL, C.B.R Number: 11387

Professional Services

PC Member: ISCA 2024, DSN 2025, ICDCS 2025, HiPC 2024, IISWC 2024, CLUSTER 2024, IPDPS 2023
Journal Reviewer: IEEE TPDS, ACM TACO, IEEE TMC, JPDC
Artifact Evaluator: SC 2024, ISCA 2023, IEEE TPDS
Organization Roles: Web Chair HiPC 2023 & 2024

Speaking

Tutorial

"Bayesian Optimization Methods for Computer Systems and Architecture Research" [Tutorial Website]
Rohan Basu Roy, Tirthak Patel, and Devesh Tiwari. IEEE International Symposium on Workload Characterization IISWC 2021.

Invited Talks

1. "What to do when HPC FaaS problems stare in your face?" Rohan Basu Roy. ParslFest 2023 - The Parsl Community Meeting. [Talk]

2. "Can Serverless Computing be Used for Quick Supercomputing?" Rohan Basu Roy, and Devesh Tiwari. Combined International Workshop on Interactive Urgent Supercomputing at SC 2022. [Talk]

3. "BLISS: Auto-tuning Complex Applications Using a Pool of Diverse Lightweight Learning Models" Rohan Basu Roy, Tirthak Patel, and Devesh Tiwari. Google Brain Invited Talk in 2021. [Talk]

Teaching

Teaching assistant for Computer Architecture course -- EECE 3324 (FALL 2023) at Northeastern University, Boston.
Instructor for sustainable computing module -- EECE 3324 (FALL 2023) at Northeastern University, Boston.