Staff profile

Welcome to my Homepage! I am an Assistant Professor in Computer Science, Durham University (UK) with a multifaceted background that spans both industry and academia. 

I am a Senior Member of IEEE, received my Ph.D. degree in computer science and engineering from the Indian Institute of Technology Guwahati, India, in February 2018. Prior to my joining at Durham University, I worked at Norwegian University of Science and Technology, Trondheim, Norway, as a Postdoctoral Researcher through ERCIM and Marie Curie Individual Fellowships from EU (Jan 2019 - May 2023). I also worked as a Computer System Architect at ZeroPoint Technologies AB, Gothenburg, Sweden (Jun 2022 - May 2024) and as an Assistant Professor in Computer Science and Engineering at Indian Institute of Information Technology Guwahati, India (Jul 2018 - Dec 2018).

My broad area of research is in high-performance computer architecture and compilers, with special focus on non-volatile memory technologies, post-CMOS architecture, thermal management, loop optimisation, etc.  For my publication details, you can visit my DBLP or Google Scholar pages. 

If your research interests align with mine, and you are enthusiastic in doing PhD/Postdoctoral research, we can have a chat. Feel free to reach me at shounak.chakraborty@durham.ac.uk. 

• High Performance Computer Architecture, Energy Efficient Computing, On-chip Thermal Management, Caches & Cores, SoC Design, Non-Volatile Memories, Compilers, Time-Critical Computing

Conference Paper

• Chakraborty, S., Saha, S., Sjalander, M., & Mcdonald-Maier, K. (2024, June). MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing. Presented at DAC '24: 61st ACM/IEEE Design Automation Conference, San Francisco CA USA
• Agarwal, S., Chakraborty, S., & Själander, M. (2024, May). TEEMO: Temperature Aware Energy Efficient Multi-Retention STT-RAM Cache Architecture. Presented at 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), San Francisco, CA, USA
• Agarwal, S., Chakraborty, S., & Själander, M. (2023, July). Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR). Presented at 2023 60th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA
• Chakraborty, S., Safarpour, M., & Silvén, O. (2023, July). NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems. Presented at SAMOS 2023, Samos, Greece
• Chakraborty, S., Soteriou, V., & Själander, M. (2022, May). STIFF: thermally safe temperature effect inversion aware FinFET based multi-core. Presented at CF '22: 19th ACM International Conference on Computing Frontiers, Turin Italy
• Sharma, Y., Moulik, S., & Chakraborty, S. (2022, March). RESTORE: Real-Time Task Scheduling on a Temperature Aware FinFET based Multicore. Presented at 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium
• Agarwal, S., & Chakraborty, S. (2021, July). ABACa: Access Based Allocation on Set Wise Multi-Retention in STT-RAM Last Level Cache. Presented at 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), NJ, USA

Journal Article

• Saha, S., Chakraborty, S., Agarwal, S., Själander, M., & McDonald-Maier, K. D. (2024). ARCTIC: Approximate Real-Time Computing in a Cache-Conscious Multicore Environment. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(10), 2944-2957. https://doi.org/10.1109/tcad.2024.3384442
• Chakraborty, S., Sharma, Y., & Moulik, S. (2024). TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores. ACM Transactions on Embedded Computing Systems, 23(4), Article 61. https://doi.org/10.1145/3665276
• Saha, S., Chakraborty, S., Agarwal, S., Gangopadhyay, R., Sjalander, M., & McDonald-Maier, K. (2023). DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore. IEEE Transactions on Parallel and Distributed Systems, 34(2), 718-733. https://doi.org/10.1109/tpds.2022.3228751
• Saha, S., Chakraborty, S., Zhai, X., Ehsan, S., & McDonald-Maier, K. D. (2022). ACCURATE: Accuracy Maximization for Real-Time Multicore Systems With Energy-Efficient Way-Sharing Caches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(12), 5246-5260. https://doi.org/10.1109/tcad.2022.3161407
• Sharma, Y., Chakraborty, S., & Moulik, S. (2022). ETA-HP: an energy and temperature-aware real-time scheduler for heterogeneous platforms. Journal of Supercomputing, 78(8), 1-25. https://doi.org/10.1007/s11227-021-04257-7
• Chakraborty, S., & Själander, M. (2021). WaFFLe: Gated Cache-Ways with Per-Core Fine-Grained DVFS for Reduced On-Chip Temperature and Leakage Consumption. ACM Transactions on Architecture and Code Optimization, 18(4), 1-25. https://doi.org/10.1145/3471908
• Chakraborty, S., Saha, S., Själander, M., & Mcdonald-Maier, K. (2021). Prepare: Power-Aware Approximate Real-time Task Scheduling for Energy-Adaptive QoS Maximization. ACM Transactions on Embedded Computing Systems, 20(5s), 1-25. https://doi.org/10.1145/3476993
• Moulik, S., Das, Z., Devaraj, R., & Chakraborty, S. (2021). SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorE Real-time Systems. The Journal of Systems Architecture: Embedded Software Design, 114, Article 101953. https://doi.org/10.1016/j.sysarc.2020.101953