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ORCIDMartin Rapp
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2020 – today
- 2024
[j13]Martin Rapp
, Heba Khdr, Nikita Krohmer, Jörg Henkel:
NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. ACM Trans. Design Autom. Electr. Syst. 29(1): 16:1-16:23 (2024)- [c20]Shubham Rai, Cecilia De la Parra, Martin Rapp, Jan Micha Borrmann, Nina Bretz, Stefan Metzlaff, Taha Soliman, Christoph Schorn:
Accelerating Automated Driving and ADAS Using HW/SW Codesign. SOCC 2024: 1-6 - 2023
- [j12]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. ACM Comput. Surv. 55(14s): 334:1-334:27 (2023) - [j11]Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel:
Differentiable Slimming for Memory-Efficient Transformers. IEEE Embed. Syst. Lett. 15(4): 186-189 (2023) - [j10]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. Trans. Mach. Learn. Res. 2023 (2023) - [c19]Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC 2023: 1-6 - [c18]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. DATE 2023: 1-2 - [c17]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems. PARMA-DITAM 2023: 5:1-5:12 - [c16]Alexander Lindermayr, Nicole Megow, Martin Rapp:
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. ICML 2023: 21312-21334 - [i7]Alexander Lindermayr, Nicole Megow, Martin Rapp:
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. CoRR abs/2302.00985 (2023) - [i6]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR abs/2307.09182 (2023) - 2022
- [b1]Martin Rapp:
Machine Learning for Resource-Constrained Computing Systems. Karlsruhe Institute of Technology, Germany, 2022 - [j9]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors. ACM Trans. Archit. Code Optim. 19(3): 31:1-31:24 (2022) - [j8]Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda:
CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. ACM Trans. Archit. Code Optim. 19(3): 44:1-44:25 (2022) - [j7]Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel:
MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3162-3181 (2022) - [c15]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI 2022: 8062-8071 - [c14]Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel:
NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. DATE 2022: 584-587 - [c13]Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. DATE 2022: 1384-1388 - [i5]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. CoRR abs/2203.05468 (2022) - [i4]Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel:
NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. CoRR abs/2206.05459 (2022) - 2021
- [j6]Sami Salamin, Victor M. van Santen, Martin Rapp, Jörg Henkel, Hussam Amrouch:
Minimizing Excess Timing Guard Banding Under Transistor Self-Heating Through Biasing at Zero-Temperature Coefficient. IEEE Access 9: 30687-30697 (2021) - [j5]Sami Salamin, Martin Rapp, Anuj Pathania, Arka Maity, Jörg Henkel, Tulika Mitra, Hussam Amrouch:
Power-Efficient Heterogeneous Many-Core Design With NCFET Technology. IEEE Trans. Computers 70(9): 1484-1497 (2021) - [j4]Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel:
Neural Network-Based Performance Prediction for Task Migration on S-NUCA Many-Cores. IEEE Trans. Computers 70(10): 1691-1704 (2021) - [c12]Hussam Amrouch, Martin Rapp, Sami Salamin, Jörg Henkel:
Impact of Negative Capacitance Field-Effect Transistor (NCFET) on Many-Core Systems. A Journey of Embedded and Cyber-Physical Systems 2021: 107-123 - [c11]Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel:
SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. DAC 2021: 265-270 - [c10]Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf:
Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. DATE 2021: 1685-1690 - [c9]Veera Venkata Ram Murali Krishna Rao Muvva, Martin Rapp, Jörg Henkel, Hussam Amrouch, Marilyn Wolf:
On the Effectiveness of Quantization and Pruning on the Performance of FPGAs-based NN Temperature Estimation. MLCAD 2021: 1-7 - [i3]Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda:
CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. CoRR abs/2109.12405 (2021) - [i2]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. CoRR abs/2112.08761 (2021) - 2020
- [j3]Martin Rapp, Mark Sagi, Anuj Pathania, Andreas Herkersdorf, Jörg Henkel:
Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores. IEEE Trans. Computers 69(1): 1-13 (2020) - [j2]Mark Sagi, Nguyen Anh Vu Doan, Martin Rapp, Thomas Wild, Jörg Henkel, Andreas Herkersdorf:
A Lightweight Nonlinear Methodology to Accurately Model Multicore Processor Power. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3152-3164 (2020) - [j1]Sami Salamin, Martin Rapp, Jörg Henkel, Andreas Gerstlauer, Hussam Amrouch:
Dynamic Power and Energy Management for NCFET-Based Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3361-3372 (2020) - [c8]Sami Salamin, Martin Rapp, Hussam Amrouch, Andreas Gerstlauer, Jörg Henkel:
Energy Optimization in NCFET-based Processors. DATE 2020: 630-633 - [c7]Martin Rapp, Omar Elfatairy, Marilyn Wolf, Jörg Henkel, Hussam Amrouch:
Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change. MLCAD 2020: 95-100 - [i1]Martin Rapp, Ramin Khalili, Jörg Henkel:
Distributed Learning on Heterogeneous Resource-Constrained Devices. CoRR abs/2006.05403 (2020)
2010 – 2019
- 2019
- [c6]Martin Rapp, Sami Salamin, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel:
Performance, Power and Cooling Trade-Offs with NCFET-based Many-Cores. DAC 2019: 41 - [c5]Jörg Henkel, Heba Khdr, Martin Rapp:
Smart Thermal Management for Heterogeneous Multicores. DATE 2019: 132-137 - [c4]Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel:
Prediction-Based Task Migration on S-NUCA Many-Cores. DATE 2019: 1579-1582 - [c3]Jörg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao, Xunzhao Yin, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu, Hsiang-Yun Cheng, Chia-Lin Yang:
The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. ICCAD 2019: 1-6 - [c2]Sami Salamin, Martin Rapp, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel:
NCFET-Aware Voltage Scaling. ISLPED 2019: 1-6 - 2018
- [c1]Martin Rapp, Anuj Pathania, Jörg Henkel:
Pareto-Optimal Power- and Cache-Aware Task Mapping for Many-Cores with Distributed Shared Last-Level Cache. ISLPED 2018: 16:1-16:6
Coauthor Index
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