Short Bio

Lokesh Siddhu received his B.Tech. degree in Electrical and Electronics Engg. from Guru Gobind Singh Indraprastha University, India, in 2009. He received a Master's degree (Aug 2009 - Jun 2011) from the Indian Institute of Science, India, in Electronics Design And Technology and then worked with Intel for 3.5 years (July 2011 - Dec 2014), looking into the design (timing, quality, noise, power) of various complex data-path blocks like multipliers, shifters, aligners.

He pursued his Ph.D. in Leakage Aware Dynamic Thermal Management for 3D Memory Architectures from Jan 2015 - June 2023 at the Department of Computer Science & Engg, Indian Institute of Technology, Delhi. He is currently a researcher at the Chair for Embedded Systems (CES) at the Karlsruhe Institute of Technology (KIT). His research interests include embedded systems, memory exploration, and optimization energy-efficient computing. He has received the best paper nomination at DATE 2022 for the work - "CoreMemDTM: Integrated Processor Core and 3D Memory Dynamic Thermal Management for Improved Performance."

Publications

Journals
Lokesh Siddhu; Hassan Nassar; Lars Bauer; Christian Hakert; Nils Hölscher; Jian-Jia Chen; Jörg Henkel Swift-CNN: Leveraging PCM Memory’s Fast Write Mode to Accelerate CNNs in IEEE Embedded Systems Letters (volume 14, Issue 4), DOI, PDF, Dec 2023.
Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5 D, and 3D Processor-Memory Systems in ACM Transactions on Architecture and Code Optimization (Volume 19, Issue 3), DOI, PDF, Apr 2022. https://github.com/marg-tools/CoMeT/

Conferences
Jörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi Tahoori, Mahta Mayahinia, Jeronimo Castrillon, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications in International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES), PDF, Sept 17-22 2023.

Conferences

Jörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi Tahoori, Mahta Mayahinia, Jeronimo Castrillon, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng
Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications
in International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES), PDF, Sept 17-22 2023.

Student Theses

Abbreviation: B - Bachelor Thesis, M - Master Thesis

Topic	Type of work	Mentor
Writing NVM Energy-Efficiently (PDF)	B / M	Siddhu, Lokesh / Bauer, Lars

Name	Type of work	Title	Mentor	Completion date
Götzfried, Erik	Bachelor thesis	Extending a RISC-V simulator to support fast writes for emerging non-volatile memories	Siddhu, Lokesh / Bauer, Lars	2024-02-29
Megalaa, Martel	Bachelor thesis	Adding Fast Write Instruction in RISC-V For Writing PCM Efficiently	Siddhu, Lokesh	2023-08-30
Shenouda, Mina	Bachelor thesis	Developing an FPGA-based Emulation Platform with a RISC-V architecture for Writing NVM Energy-Efficiently	Siddhu, Lokesh	2023-08-20