Dr.-Ing. Heba Khdr
- Research Group Leader
- room: B2-311.1
- phone: +49 721 608-45172
- fax: +49 721 608-43962
- heba khdr ∂does-not-exist.kit edu
- Haid-und-Neu-Str. 7
Bldg. 07.21
76131 Karlsruhe
Short Bio
Heba Khdr received her Ph.D. (Dr.-Ing.) in Computer Science from Karlsruhe Institute of Technology (KIT) in July 2018 under the supervision of Prof. Jörg Henkel.
Mrs. Khdr received her B. Sc in Computer Science from Aleppo University in Syria, with excellent grade and the first rank.
She is currently a research group leader at the Chair for Embedded Systems (CES) at KIT.
Her main research interests are resource management techniques that consider power, temperature and aging issues in embedded processors.
Awards
| HiPEAC Paper Award (European Network of Excellence on High Performance and Embedded Architecture and Compilation) for "Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors", in the 60th ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, July 2023. |
| HiPEAC Paper Award (European Network of Excellence on High Performance and Embedded Architecture and Compilation) for "Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores ", in the 60th ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, July 2023. |
| HiPEAC Paper Award (European Network of Excellence on High Performance and Embedded Architecture and Compilation) for "Aging-Constrained Performance Optimization for Multi Cores ", in the 55th ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, June 2018. |
| HiPEAC Paper Award (European Network of Excellence on High Performance and Embedded Architecture and Compilation) for "QoS-Aware Stochastic Power Management for Many-Cores ", in the 55th ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, June 2018. |
| HiPEAC Paper Award (European Network of Excellence on High Performance and Embedded Architecture and Compilation) for "New Trends in Dark Silicon", in the 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, June 2015. |
| HiPEAC Paper Award (European Network of Excellence on High Performance and Embedded Architecture and Compilation) for "Thermal Constrained Resource Management for Mixed ILP-TLP Workloads in Dark Silicon Chips", in the 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, June 2015. |
| Best Paper Award for "TSP: Thermal Safe Power - Efficient power budgeting for Many-Core Systems in Dark Silicon", in IEEE/ACM International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), New Delhi, India, October 2014. |
| Research Student Award, 2012, KIT-Karlsruhe Institute of Technology |
| Top Student Award, 2005, University of Aleppo, Syria |
Research Interests
- Resource Management for Multi-Core/Many-Core Systems
- Machine Learning for Embedded Systems
- Thermal Management for Multi-Core/Many-Core Systems
- Reliability-Aware Scheduling for Embedded Systems
Teaching
- Lecture: Design and architectures of embedded systems (ES2)
- Seminar: Performance Optimization for Multicore Chips
- Seminar: Machine Learning for resource management techniques
- Master Thesis: Machine Learning-based Resource Management for Many-Core Processors
Publications
| Journals | |
|---|---|
| Jeferson Gonzalez-Gomez, Mohammed Bakr Sikal, Lars Bauer, Heba Khdr, Jörg
Henkel Balancing Security and Efficiency: System-Informed Mitigation of Power-Based Covert Channels in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, Volume 43, Issue 11), DOI, PDF, Nov 2024. | |
| Mohammed Bakr Sikal, Heba Khdr, Lokesh Siddhu, Jörg Henkel ML-Based Thermal and Cache Contention Alleviation on Clustered Manycores with 3-D HBM in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, Volume 43, Issue 11), DOI, PDF, Nov 2024. | |
| Konstantinos Balaskas, Heba Khdr, Mohammed Bakr Sikal, Fabian Kreß, Kostas Siozios, Jürgen Becker, Jörg Henkel Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization in Embedded Systems Letters (ESL), ESWEEK24 Special Edition, Sep 2024 (ACCEPTED), 2024. | |
| Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel NPU-Accelerated Imitation Learningfor Thermal Optimizationof QoS-Constrained Heterogeneous Multi-Cores in ACM Transactions on Design Automation of Electronic Systems, DOI, PDF, Nov 2023. | |
| Mohsen Ansari, Sepideh Safari, Heba Khdr, Pourya Gohari-Nazari, Jörg Henkel, Alireza Ejlali, Shaahin Hessabi Power-Aware Checkpointing for Multicore Embedded Systems in IEEE Transactions on Parallel and Distributed Systems (Volume 33, Issue 12), DOI, PDF, Dec 2022. | |
| Mohsen Ansari, Sepideh Safari, Sina Yari-Karin, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems in IEEE Transactions on Emerging Topics in Computing (Volume 10, Issue 4), DOI, PDF, Oct - Dec 2022. | |
| Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-Core Processors in ACM Transactions on Architecture and Code Optimization (Volume 19, Issue 3), DOI, PDF, Sep 2022. | |
| Sepideh Safari, Heba Khdr, Pourya Gohari-Nazari, Mohsen Ansari, Shaahin Hessabi, Jörg Henkel TherMa-MiCs: Thermal-Aware Scheduling for Fault-Tolerant Mixed-Criticality Systems in IEEE Transactions on Parallel and Distributed Systems (Volume 33, Issue 7), DOI, PDF, Jul 2022. | |
| Sepideh Safari, Mohsen Ansari, Heba Khdr, Pourya Gohari-Nazari, Sina Yari-Karin, Amir Yeganeh-Khaksar, Shaahin Hessabi, Alireza Ejlali, Jörg Henkel A Survey of Fault-Tolerance Techniques for Embedded Systems From the Perspective of Power, Energy, and Thermal Issues in IEEE Access (Volume 10), DOI, PDF, Jan 2022. | |
| Behnaz Pourmohseni, Michael Glaß, Jörg Henkel, Heba Khdr, Martin Rapp, Valentina Richthammer, Tobias Schwarzer, Fedor Smirnov, Jan Spieck, Jürgen Teich, Andreas Weichslgartner, Stefan Wildermann Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective in Journal of Low Power Electronics and Applications (Volume 10, Issue 4), DOI, PDF, Nov 2020. | |
| Heba Khdr, Muhammad Shafique, Santiago Pagani, Andreas Herkersdorf, Jörg Henkel Combinatorial Auctions for Temperature-Constrained Resource Management in Manycores in IEEE Transactions on Parallel and Distributed Systems (TPDS) (Volume 31, Issue 7), DOI, PDF, Jul 2020. | |
| Heba Khdr, Hussam Amrouch and Jörg Henkel Dynamic Guardband Selection: Thermal-Aware Optimization for Unreliable Multi-Core Systems in IEEE Transactions on Computers (TC) (Volume 68, Issue 1), DOI, PDF, Jan 2019. | |
| Heba Khdr, Hussam Amrouch and Jörg Henkel Aging-Aware Boosting in IEEE Transactions on Computers (TC) (Volume 67, Issue 9), DOI, PDF, Sep 2018. | |
| Heba Khdr, Santiago Pagani, Éricles Sousa, Vahid Lari, Anuj Pathania, Frank Hannig, Muhammad Shafique, Jürgen Teich, Jörg Henkel Power density-aware resource management for heterogeneous tiled multicores in IEEE Transactions on Computers (TC) (Volume 66, Issue 3), DOI, PDF, Mar 2017. | |
| Santiago Pagani, Heba Khdr, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel Thermal safe power (TSP): Efficient power budgeting for heterogeneous manycore systems in dark silicon in IEEE Transactions on Computers (TC), (Volume 66, Issue 1), DOI, PDF, Jan 2017. |
| Conferences | |
|---|---|
| Heba Khdr, Mustafa Enes Batur, Kanran Zhou, Mohammed Bakr Sikal and Jörg Henkel Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization in Manycores in Design, Automation and Test in Europe Conference (DATE'24), PDF, Mar 25 - 27 2024. | |
| Jeferson Gonzalez-Gomez, Mohammed Bakr Sikal, Heba Khdr, Lars Bauer, Jörg Henkel Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors in 60th Design Automation Conference (DAC), San Francisco, DOI, PDF, Jul 9-13 2023. | |
| Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores in 60th Design Automation Conference (DAC), San Francisco, DOI, PDF, Jul 9-13 2023. | |
| Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Syiadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems in 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2023), DOI, PDF, May 9-12 2023. |  |
| Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Müller-Gritschneder, Jörg Henkel, Ulf Schlichtmann Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems in 26th Design, Automation and Test in Europe Conference (DATE'23), Antwerp, Belgium, Apr 17-19 2023. | |
| Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores (IP) in IEEE/ACM 25th Design, Automation and Test in Europe Conference (DATE'22), Antwerp, Belgium, DOI, PDF, Mar 14-23 2022. |  |
| Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel Thermal- and Cache-Aware Resource Management based on ML-Driven Cache Contention Prediction in IEEE/ACM 25th Design, Automation and Test in Europe Conference (DATE'22), Antwerp, Belgium, DOI, PDF, Mar 14-23 2022. |  |
| Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors in 58th Design Automation Conference (DAC), San Francisco, DOI, PDF, Dec 5-9 2021. |  |
| Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh
Vu Doan, Thomas Wild, Jörg Henkel and Andreas Herkersdorf Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors in IEEE/ACM 24th Design, Automation and Test in Europe Conference (DATE'21), Virtual Conference, DOI, PDF, Feb 1-5 2021. | |
| Muhammad Sarmad Saeed, Moeez Akmal, Hareem Shafi, Muhammad Usama Sardar, Osman Hasan, Heba Khdr and Jörg Henkel Comparative Framework for the Analysis of Thermal and Resource Management Algorithms for Multi-Core Architectures in The 21st International Symposium on Quality Electronic Design (ISQED), Santa Clara, California, USA, DOI, PDF, Mar 26-29 2020. | |
| Behnaz Pourmohseni, Fedor Smirnov, Heba Khdr, Stefan Wildermann, Jürgen Teich, Jörg Henkel Thermally Composable Hybrid Application Mapping for Real-Time Applications in Heterogeneous Many-Core Systems in IEEE Real-Time Systems Symposium (RTSS), Hong Kong, DOI, PDF, Dec 3-6 2019. | |
| Jörg Henkel, Heba Khdr, Martin Rapp Smart Thermal Management for Heterogeneous Multicores (Special Session) in IEEE/ACM 22nd Design, Automation and Test in Europe Conference (DATE'19), Florence, Italy, DOI, PDF, Mar 25-29 2019. | |
| Heba Khdr, Hussam Amrouch and Jörg Henkel Aging-Constrained Performance Optimization for Multi Cores in ACM/EDAC/IEEE 55th Design Automation Conference (DAC), San Francisco, CA, USA, DOI, PDF, Jun 24-28 2018. | |
| Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra and Jörg Henkel QoS-Aware Stochastic Power Management for Many-Cores in ACM/EDAC/IEEE 55th Design Automation Conference (DAC), San Francisco, CA, USA, DOI, PDF, Jun 24-28 2018. | |
| Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jörg Henkel Scalable Probabilistic Power Budgeting for Many-Cores in IEEE/ACM 20th Design, Automation and Test in Europe Conference (DATE'17), Lausanne, Switzerland, DOI, PDF, Mar 27-31 2017. | |
| Jörg Henkel, Santiago Pagani, Heba Khdr, Florian Kriebel, Semeen Rehman, Muhammad Shafique Towards Performance and Reliability-Efficient Computing in the Dark Silicon Era in IEEE/ACM 19th Design, Automation and Test in Europe Conference (DATE'16), Dresden, Germany, DOI, PDF, Mar 14-18 2016. | |
| Santiago Pagani, Muhammad Shafique, Heba Khdr, Jian-Jia Chen, Jörg Henkel seBoost: Selective Boosting for Heterogeneous Manycores in International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Amsterdam, The Netherlands, DOI, PDF, Oct 4-9 2015. | |
| Jörg Henkel, Haseeb Bukhari, Siddharth Garg, Muhammad Usman Karim Khan, Heba Khdr, Florian Kriebel, Umit Ogras, Sri Parameswaran, Muhammad Shafique Dark Silicon - From Computation to Communication (invited special session paper) in 9th International Symposium on Networks-on-Chip (NOCS'15), Vancouver, Canada, DOI, PDF, Sep 28-30 2015. | |
| Jörg Henkel, Heba Khdr, Santiago Pagani, Muhammad Shafique New Trends in Dark Silicon (special session) in ACM/EDAC/IEEE 52nd Design Automation Conference (DAC), San Francisco, CA, USA,, DOI, PDF, Jun 7-11 2015. | |
| Heba Khdr, Santiago Pagani, Muhammad Shafique, Jörg Henkel Thermal Constrained Resource Management for Mixed ILP-TLP Workloads in Dark Silicon Chips in ACM/EDAC/IEEE 52nd Design Automation Conference (DAC), San Francisco, CA, USA,, DOI, PDF, Jun 7-11 2015. | |
| Waqaas Munawar, Heba Khdr, Santiago Pagani, Muhammad Shafique, Jian-Jia Chen and Jörg Henkel Peak Power Management for Scheduling Real-time Tasks on Heterogeneous Many-Core Systems in 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), Hsinchu, Taiwan, DOI, PDF, Dec 16-19 2014. | |
| Santiago Pagani, Heba Khdr, Waqaas Munawar, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel TSP: Thermal Safe Power - Efficient power budgeting for Many-Core Systems in Dark Silicon in: International Conference on Hardware - Software Codesign and System Synthesis (CODES+ISSS), New Delhi, India, DOI, PDF, Oct 12-17 2014. Best Paper Award | |
| Heba Khdr, Thomas Ebi, Muhammad Shafique, Hussam Amrouch, Jörg Henkel mDTM: Multi-Objective Dynamic Thermal Management for On-Chip Systems in IEEE/ACM 17th Design Automation and Test in Europe Conference (DATE´14), Dresden, Germany, DOI, PDF, Mar 24-28 2014. | |
| Jörg Henkel, Thomas Ebi, Hussam Amrouch, Heba Khdr Thermal Management for Dependable on-chip Systems in 18th Asia and South Pacific Design Automation Conference (ASP-DAC’13), Yokohama, Japan, DOI, PDF, Jan 22-25 2013. | |
| Books / Book Chapter | |
|---|---|
| Nidhi Anantharajaiah, Tamim Asfour, Michael Bader, Lars Bauer, Jürgen Becker, Simon Bischof, Marcel Brand, Hans-Joachim Bungartz, Christian Eichler, Khalil Esper, Joachim Falk, Nael Fasfous, Felix Freiling, Andreas Fried, Michael Gerndt, Michael Glaß, Jeferson Gonzalez, Frank Hannig, Christian Heidorn, Jörg Henkel, Andreas Herkersdorf, Benedict Herzog, Jophin John, Timo Hönig, Felix Hundhausen, Heba Khdr, Tobias Langer, Oliver Lenke, Fabian Lesniak, Alexander Lindermayr, Alexandra Listl, Sebastian Maier, Nicole Megow, Marcel Mettler, Daniel Müller-Gritschneder, Hassan Nassar, Fabian Paus, Alexander Pöppl, Behnaz Pourmohseni, Jonas Rabenstein, Phillip Raffeck, Martin Rapp, Santiago Narváez Rivas, Mark Sagi, Franziska Schirrmacher, Ulf Schlichtmann, Florian Schmaus, Wolfgang Schröder-Preikschat, Tobias Schwarzer, Mohammed Bakr Sikal, Bertrand Simon, Gregor Snelting, Jan Spieck, Akshay Srivatsa, Walter Stechele, Jürgen Teich, Furkan Turan, Isaías A. Comprés Ureña, Ingrid Verbauwhede, Dominik Walter, Thomas Wild, Stefan Wildermann, Mario Wille, Michael Witterauf, Li Zhang Invasive Computing in FAU University Press (Editors: Jürgen Teich, Jörg Henkel, Andreas Herkersdorf), DOI, PDF, Aug 2022. | |
| Hussam Amrouch, Heba Khdr and Jörg Henkel Aging Effects: From Physics to CAD Chapter in Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms, Springer International Publishing AG, DOI, PDF, 2019. | |
| Heba Khdr, Santiago Pagani, Muhammad Shafique, Jörg Henkel Dark Silicon Aware Resource Management for Many-Core Systems Chapter in book Advances in Computers: Dark Silicon and Future of On-chip Systems. Elsevier, 2018. | |
| Santiago Pagani, Heba Khdr, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel Thermal safe power: Efficient thermal-aware power budgeting for manycore systems in dark silicon Chapter in Book The Dark Side of Silicon (Editors: Amir M. Rahmani, Pasi Liljeberg, Ahmed Hemani, Axel Jantsch, Hannu Tenhunen), DOI, PDF, 2017. |
| Workshop | |
|---|---|
| Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems in 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2023), DOI, PDF, 2023. |
| Other | |
|---|---|
| Santiago Pagani, Lars Bauer, Qingqing Chen, Elisabeth Glocker, Frank Hannig, Andreas Herkersdorf, Heba Khdr, Anuj Pathania, Ulf Schlichtmann, Doris Schmitt-Landsiedel, Mark Sagi, Ericles Rodrigues Sousa, Philipp Wagner, Volker Wenzel, Thomas Wild, Jörg Henkel Dark silicon management: an integrated and coordinated cross-layer approach in it – Information Technology (IT), Band 58, Heft 6, DOI, PDF, Dec 2016. |
| PhD Thesis | |
|---|---|
| Khdr, Heba Resource Management for Multicores to Optimize Performance under Temperature and Aging Constraints Dissertationsschrift der Universität Karlsruhe, Fakultät für Informatik, Institut für Technische Informatik, DOI, PDF, 2018. |
Student Theses
Abbreviation: B - Bachelor Thesis, M - Master Thesis
| Topic | Type of work | Mentor |
|---|---|---|
| Multi-Agent Reinforcement Learning for Many-Core Thermal Management (PDF) | M | Khdr, Heba / Sikal, Mohammed Bakr |
| Name | Type of work | Title | Mentor |
|---|---|---|---|
| Oğuz, Yiğit | Hiwi | Lightweight Deep Reinforcement Learning | Khdr, Heba |
| Uyanik, Ulas | Master thesis | Scheduling of DNNs on Heterogeneous Processors | Dietrich, Benedikt / Khdr, Heba |
| Name | Type of work | Title | Mentor | Completion date |
|---|---|---|---|---|
| Fritz, Samuel | Master thesis | ML-based resource management on real hardware | Sikal, Bakr / Khdr, Heba | 2024-03-31 |
| Müller, Rasmus | Master thesis | Federated Learning for Resource Management | Khdr, Heba | 2024-03-31 |
| Batur, Enes Mustafa | Hiwi | Reinforcement Learning for Resource Management | Khdr, Heba | 2024-03-31 |
| Steiner, Daniel | Master thesis | Machine Learning / Thermal Modeling / Resource Management in Manycores | Mohammed Bakr Sikal and Heba Khdr | 2024-03-31 |
| Donat, Atalay | Hiwi | Distributed Embedded ML Platform | Rapp, Martin / Khdr, Heba | 2023-12-31 |
| ElKoussy, Abdelrahman | Bachelor thesis | Transfer Learning in Edge Computing | Khdr, Heba | 2023-09-30 |
| Ghayad, Mohamed | Bachelor thesis | Resource Management for Edge Computing | Khdr, Heba | 2023-09-30 |
| Dietrich, Benedikt | Master thesis | Reinforcement Learning for Many-Core Power-Thermal Management | Khdr, Heba / Sikal, Bakr | 2023-08-01 |
| Zhou, Kanran | Master thesis | Ressource Management on Chip | Khdr, Heba | 2023-04-24 |
| Donat, Atalay | Bachelor thesis | Reinforcement-Learning-based Energy Minimization of Single-Threaded Workloads with DVFS on NVIDIA Jetson Nano | Rapp, Martin / Khdr, Heba | 2022-09-30 |
| Krohmer, Nikita | Master thesis | Imitation Learning for Temperature Minimization under Performance Constraints using a Neural Processing Unit on a Heterogeneous Smartphone Processor | Rapp, Martin / Khdr, Heba | 2021-11-15 |
| Sardar, Muhammad Usama | Internship | Formal Verification of Distributed Thermal and Resource Management Schemes for On-Chip Many-core Systems | Khdr, Heba / Pathania, Anuj | 2017-01-31 |