School of Electrical and Computer Sciences

School of Electrical and Computer Sciences, IIT Bhubaneswar

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IIT Bhubaneswar

Devashree Tripathy

Dr. Devashree Tripathy

Assistant Professor
  • Room No: A-207, SECS
  • devashreetripathy@iitbbs.ac.in
  • School of Electrical and Computer Sciences
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Looking for motivated JRF, MSR, PhD, and senior BTech (3rd/ 4th year) students for research projects in Computer Architecture  and Applied ML. 

Top-up funding available for contributions

Computer Architecture , Machine Learning, Hardware/Software codesign of AI systems, Energy-Efficient computing, Sustainable AI, TinyML, and Systems for Healthcare, Drones, Autonomous Cars and Robotics, Mobile and Edge Computing.

Dr. Devashree Tripathy is an Assistant Professor in Computer Science and Engineering at Indian Institute of Technology, Bhubaneswar. Her research spans in Computer Architecture , Machine Learning, Hardware/Software codesign of AI systems, Energy-Efficient computing, Sustainable AI, TinyML, and Systems for Healthcare, Drones, Autonomous Cars and Robotics, Mobile and Edge Computing. Her current research focuses on ML for Systems and Systems for ML. Prior to joining IIT Bhubaneswar, Dr. Tripathy was a Postdoctoral Fellow in Computer Science at Harvard University in Harvard Architecture, Circuits, and Compilers Group. She is currently working as an Associate with Harvard University. She graduated from University of California, Riverside with PhD in Computer Science. She has published in top-tier venues including ISCA, MICRO, ICS, ISLPED, ACM Transactions on Architecture and Code Optimization, ACM Transactions on Embedded Computing Systems, Engineering with Computers (SPRINGER), Journal of Network and Computer Applications (ELSEVIER)  etc., demonstrating her expertise.

  1. Predicting the performance of Deep learning models on Edge devices (PI: Devashree Tripathy), Amount- Rs. 20.05 lakhs, Sponsoring Agency- IIT BBS (Seed Grant, 2024-2026, Ongoing).
  2. Efficient Design of SoC for AR/VR Domain (PI: Devashree Tripathy), Amount- Rs. 21 lakhs, Sponsoring Agency- VARCOE, IITBBS (2023-2025, Ongoing).
  3. GreenLLM: An Ecosystem for sustainable (PI: Devashree Tripathy), Amount- Rs. 60 lakhs, Sponsoring Agency- ANRF ECRG (2025-2028, Ongoing).
  4. Collaborative Research: NSF-MeitY: CSR: Small: Eco-LLM: Energy-Efficient Computation and Communication for Large Language Models with CXL-based Chip Architecture and Software. (with Ohio State University, USA and University of California, Riverside, USA), Amount- Rs. 4.5 Crore, Sponsoring Agency- MeitY, Govt of India (2024-2027, Ongoing).

At IIT Bhubaneswar:

  • IITBBS-PG-CS6L009 – High Performance Computer Architecture (Spring 2023, Spring 2025)
  • IITBBS-UG-CS1P001 – Introduction to Programming and Data Structures Theory + Laboratory (Spring/Autumn 2023, 2024)
  • IITBBS-UG-CS3L002 – Computer Organization and Architecture Theory + Laboratory(Autumn 2023)

At Harvard University, USA:

  • Harvard-PG-CS249r – Tiny Machine Learning : Applied Machine Learning on Embedded IoT Devices (Fall 2022)

At University of California, USA:

  • UCR-UG-CS005 – Introduction To Computer Programming (Fall 2019)
  • UCR-PG-CS203 – Advanced Computer Architecture (Winter 2018, Winter 2019)
  • UCR-PG-CS213 – Multiprocessor Architecture and Programming (Spring 2018, Winter 2020)

At CSIR-CEERI Pilani, India:

  • CEERI-PG-2-219 – Advanced Signal and Image Processing (2014)

Research Scholar: 01 (ongoing)

  1. Renuka Acharya (PhD, July 2023 – Present)
  2. Tapas Rout (JRF/PhD, April 2024 – Present)

M.Tech Project: 03 (completed) + 04 (ongoing)

  1. Anurag Tiwari (MTech, CSE, Project Duration: 2023-2024)
  2. Kanishka Maity (MTech, CSE, Project Duration: 2023-2024)
  3. Harshit Arun Sapkal (Dual Degree, CSE, Project Duration: 2023-2024)
  4. Jyotirman Behera (MTech, CSE, Project Duration: 2024-2025)
  5. Sneha Prabhu (MTech, CSE, Project Duration: 2024-2025)
  6. Yatin Dhiman (Dual Degree, CSE, Project Duration: 2024-2025)
  7. Aniruddha Saha (Dual Degree, CSE, Project Duration: 2024-2025)

B.Tech Project: 05 (completed) + 02 (ongoing)

  1. Ayush Asutkar (BTech, CSE, Project Duration: 2023-2024)
  2. Yakkaluru Sathvik (BTech, EE, Project Duration: 2023-2024)
  3. T Sai Srujan (BTech, EE, Project Duration: 2023-2024)
  4. Sunnapu Sai Satya Naveen (BTech, ECE, Project Duration: 2023-2024)
  5. Nalluri Eswara Chandra Balajee (BTech, ECE, Project Duration: 2023-2024)
  6. Girish Jain (BTech, CSE, Project Duration: 2024-2025)
  7. Ayush Pratap Singh (BTech, ECE, Project Duration: 2024-2025)
  1. Tripathy, D., A. Abdolrashidi, L. Bhuyan, L. Zhou and D. Wong, “PAVER: Locality Graph-based Thread Block Scheduling for GPUs” ACM Transactions on Architecture and Code Optimization (ACM Transactions TACO, 2021), vol 18, issue 3, article 32, pp 1-26. * Invited to present at European Network on High Performance and Embedded Architecture and Compilation (HiPEAC, 2022) on June 20-22, Budapest, Hungary. https://doi.org/10.1145/3451164 Scopus Impact Factor: 2.11(2022), SCImago Journal Rank (SJR): 0.263, H-index: 41, SJR Quartile: Q3
  2. Boroujerdian, B., Y. Jing, D. Tripathy, A. Kumar, L. Subramanian, L. Yen, V. Lee, V. Venkatesan, A. Jindal, R. Shearer, V. J. Reddi, “FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity” (Accepted to appear in ACM Transactions TECS 2022- ACM Transactions on Embedded Computing Systems) Scopus Impact Factor: 2.215(2022), SCIE/SSCI Rank: 10339, SCImago Journal Rank (SJR): 0.435, H-index: 58 SCI Indexed
  3. Patel, D.K., D. Tripathy, & C. Tripathy, “An improved load-balancing mechanism based on deadline failure recovery on GridSim”. Engineering with Computers 32, 173-188 (Springer 2016). https://doi.org/10.1007/s00366-015-0409-y Impact Factor: 8.083 (2021), H-index: 60, SJR Quartile: Q1
  4. Patel, D.K., D. Tripathy and C. Tripathy, “Survey of load balancing techniques for Grid.” Journal of Network and Computer Applications, Vol 65, 103-119 (Elsevier 2016). https://doi.org/10.1016/j.jnca.2016.02.012 Scopus Impact Factor: 9.294 (2021), H-index: 115, SCImago Journal Rank (SJR): 2.193, SJR Quartile: Q4
  5. Tripathy, L., D. Tripathy and C. Tripathy, “Fault Tolerance in Interconnection Network-a Survey.” Research Journal of Applied Sciences, Engineering and Technology 2015, 198-214. H-index: 27, SJR Quartile: Q1 https://doi.org/10.19026/rjaset.11.1708 Impact Factor: 0.22(2016).
  1. ArchGym: Establishing Stronger Baselines for Machine-Learning Assisted Architecture Design. ISCA ’23 Srivatsan Krishnan, Amir Yazdanbakhsh, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, and Vijay Janapa Reddi (with Harvard University, University of Texas at Austin, Google Research/ Brain Team and Facebook Research) International Symposium on Computer Architecture (ISCA), 2023, June 17 – 23, Orlando, Florida, USA. (acceptance rate: 21% , Core Ranking: A*)
  2. Tripathy, Devashree, Hadi Zamani, Debiprasanna Sahoo, Laxmi Narayan Bhuyan, and Manoranjan Satpathy “Slumber: Static-Power Management for GPGPU Register Files” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED, 2020), August 10-12, Boston, Massachusetts, USA. (Virtual due to Covid-19). https://doi.org/10.1145/3370748.3406577
  3. Tripathy, Devashree, AmirAli Abdolrashidi, Quan Fan, Daniel Wong and and Manoranjan Satpathy, “LocalityGuru: A PTX Analyzer for Extracting Thread Block-level Locality in GPGPUs,” IEEE International Conference on Networking, Architecture and Storage (NAS, 2021), October 24-26, Riverside, California, USA. https://doi.org/10.1109/NAS51552.2021.9605411
  4. Abdolrashidi, AmirAli, Devashree Tripathy, Mehmet Esat Belviranli, Laxmi Narayan Bhuyan, and Daniel Wong. “Wireframe: Supporting data-dependent parallelism through dependency graph execution in gpus.” In Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2017), October 14-18, Boston, Massachusetts, USA.
  5. Zamani, Hadi, Devashree Tripathy, Ali Jahanshahi and Daniel Wong, “ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU,” IEEE International Conference on Networking, Architecture and Storage (NAS, 2021), October 24-26, Riverside, California, USA. https://doi.org/10.1109/NAS51552.2021.9605434
  6. Zamani, Hadi, Devashree Tripathy, Laxmi Bhuyan, and Zizhong Chen. “SAOU: Safe Adaptive Overclocking and Undervolting for Energy-Efficient GPU Computing” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED, 2020), August 10-12, Boston, Massachusetts, USA. (Virtual due to Covid-19). https://doi.org/10.1145/3370748.3406553
  7. Zamani, Hadi, Yuanlai Liu, Devashree Tripathy, Laxmi Bhuyan, and Zizhong Chen. “GreenMM: energy efficient GPU matrix multiplication through undervolting.” ACM International Conference on Supercomputing (ICS 2019), June 26-28, Phoenix, Arizona, USA. https://doi.org/10.1145/3330345.3330373
  8. Chai Y, Tripathy D, Zhou C, Gope D, Fedorov I, Matas R, Brooks D, Wei GY, Whatmough P. Perfsage: Generalized inference performance predictor for arbitrary deep learning models on edge devices. arXiv preprint arXiv:2301.10999. 2023 Jan 26.
  9. Brumar I, Rocha R, Bernat A, Tripathy D, Brooks D, Wei GY. Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR. arXiv preprint arXiv:2402.13513. 2024 Feb 21.
Degree Discipline Year School
  Postdoc Computer Science 2022 HARVARD UNIVERSITY | Cambridge, MA, USA
  PhD Computer Science (Dean’s Distinguished Fellowship) 2021 UNIVERSITY OF CALIFORNIA, RIVERSIDE (UCR) | Riverside, CA, USA
  M.Tech Advanced Electronics Systems (Quick Hire Fellowship, CSIR) 2014 CSIR – CENTRAL ELECTRONICS ENGINEERING RESEARCH INSTITUTE (CSIR-CEERI) | Pilani, India |
  B.Tech Electronics and Telecommunications Engineering (University Topper) 2012 VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY (VSSUT, FORMERLY UCE) | BURLA, India

Associate – Harvard University | Cambridge, MA, USA | 2022- current ;

Postdoctoral Fellow in Computer Science – Harvard University | Cambridge, MA, USA | 2021- 2022;

GPU Modelling Intern – Samsung Austin R&D Center, USA | 06/2018 – 09/2018 • Award of Excellence

  • Postdoctoral Fellowship Offers from Penn State University, North Carolina State University (NCSU), University of South Carolina and Harvard University. Accepted the Harvard University Offer (2021).
  • Anita Borg Grace Hopper Scholarship
  • Student Travel Grant for ACM/IEEE ISCA 2019 ($600 from NSF), ACM HPDC 2019 ($1739), ACM/IEEE MICRO 2017 ($474 from ACM/IEEE), CWWMCA 2017 ($970), NAS 2016 ($566), NAS 2021 ($868).
  • Student Volunteer Award ISCA 2018 ($572).
  • Invited by Computing Research Association (CRA), USA to attend Grad Cohort for Women 2018 April 13-14, 2018 at San Francisco, CA, USA.
  • Award of Excellence as GPU Modelling Intern at Samsung Austin R&D Center, USA, September, 2018
  • Dean’s Distinguished Fellowship, UCR 2015-2019 ($171,233)
  • CSIR Quick-Hire Fellowship by Government of India (2012 -2014)
  • 1st rank/University Topper among all disciplines in B.Tech. (undergraduate) students at VSSUT, Burla (2012) a. Awarded University Gold medal for University Topper, 2012 b. Awarded University Silver medal for best Electronics and Telecommunication Engg graduate at VSSUT Burla, 2012
  • 1st rank among all girls in first year B.Tech at VSSUT, Burla (2008)
  • Top 0.1% among all the students in India, Central Board of Secondary Education (2006)
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