Pareto-Optimal Power- and Cache-Aware Task Mapping for Many-Cores with Distributed Shared Last-Level Cache. - Martin Rapp; Anuj Pathania; Jörg Henkel (ISLPED, 2018)

Performance, Power and Cooling Trade-Offs with NCFET-based Many-Cores. - Martin Rapp; Sami Salamin; Hussam Amrouch; Girish Pahwa; Yogesh Singh Chauhan; Jörg Henkel (DAC, 2019)

Smart Thermal Management for Heterogeneous Multicores. - Jörg Henkel; Heba Khdr; Martin Rapp (DATE, 2019)

Prediction-Based Task Migration on S-NUCA Many-Cores. - Martin Rapp; Anuj Pathania; Tulika Mitra; Jörg Henkel (DATE, 2019)

The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. - 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 (ICCAD, 2019)

NCFET-Aware Voltage Scaling. - Sami Salamin; Martin Rapp; Hussam Amrouch; Girish Pahwa; Yogesh Singh Chauhan; Jörg Henkel (ISLPED, 2019)

Energy Optimization in NCFET-based Processors. - Sami Salamin; Martin Rapp; Hussam Amrouch; Andreas Gerstlauer; Jörg Henkel (DATE, 2020)

Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change. - Martin Rapp; Omar Elfatairy; Marilyn Wolf; Jörg Henkel; Hussam Amrouch (MLCAD, 2020)

Distributed Learning on Heterogeneous Resource-Constrained Devices. - Martin Rapp; Ramin Khalili; Jörg Henkel (CoRR, 2020)

Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores. - Martin Rapp; Mark Sagi; Anuj Pathania; Andreas Herkersdorf; Jörg Henkel (IEEE Trans. Computers, 2020)

A Lightweight Nonlinear Methodology to Accurately Model Multicore Processor Power. - Mark Sagi; Nguyen Anh Vu Doan; Martin Rapp; Thomas Wild; Jörg Henkel; Andreas Herkersdorf (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Dynamic Power and Energy Management for NCFET-Based Processors. - Sami Salamin; Martin Rapp; Jörg Henkel; Andreas Gerstlauer; Hussam Amrouch (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Impact of Negative Capacitance Field-Effect Transistor (NCFET) on Many-Core Systems. - Hussam Amrouch; Martin Rapp; Sami Salamin; Jörg Henkel (A Journey of Embedded and Cyber-Physical Systems, 2021)

SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. - Martin Rapp; Mohammed Bakr Sikal; Heba Khdr; Jörg Henkel (DAC, 2021)

Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. - Mark Sagi; Martin Rapp; Heba Khdr; Yizhe Zhang 005; Nael Fasfous; Nguyen Anh Vu Doan; Thomas Wild; Jörg Henkel; Andreas Herkersdorf (DATE, 2021)

On the Effectiveness of Quantization and Pruning on the Performance of FPGAs-based NN Temperature Estimation. - Veera Venkata Ram Murali Krishna Rao Muvva; Martin Rapp; Jörg Henkel; Hussam Amrouch; Marilyn Wolf (MLCAD, 2021)

Minimizing Excess Timing Guard Banding Under Transistor Self-Heating Through Biasing at Zero-Temperature Coefficient. - Sami Salamin; Victor M. van Santen; Martin Rapp; Jörg Henkel; Hussam Amrouch (IEEE Access, 2021)

Neural Network-Based Performance Prediction for Task Migration on S-NUCA Many-Cores. - Martin Rapp; Anuj Pathania; Tulika Mitra; Jörg Henkel (IEEE Trans. Computers, 2021)

Power-Efficient Heterogeneous Many-Core Design With NCFET Technology. - Sami Salamin; Martin Rapp; Anuj Pathania; Arka Maity; Jörg Henkel; Tulika Mitra; Hussam Amrouch (IEEE Trans. Computers, 2021)

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. - Martin Rapp; Ramin Khalili; Kilian Pfeiffer; Jörg Henkel (AAAI, 2022)

NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. - Martin Rapp; Nikita Krohmer; Heba Khdr; Jörg Henkel (DATE, 2022)

Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. - Mohammed Bakr Sikal; Heba Khdr; Martin Rapp; Jörg Henkel (DATE, 2022)

CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. - Kilian Pfeiffer; Martin Rapp; Ramin Khalili; Jörg Henkel (CoRR, 2022)

An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors. - Marcel Mettler; Martin Rapp; Heba Khdr; Daniel Mueller-Gritschneder; Jörg Henkel; Ulf Schlichtmann (ACM Trans. Archit. Code Optim., 2022)

CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. - Lokesh Siddhu; Rajesh Kedia; Shailja Pandey; Martin Rapp; Anuj Pathania; Jörg Henkel; Preeti Ranjan Panda (ACM Trans. Archit. Code Optim., 2022)

MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. - Martin Rapp; Hussam Amrouch; Yibo Lin; Bei Yu 001; David Z. Pan; Marilyn Wolf; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Machine Learning for Resource-Constrained Computing Systems. - Martin Rapp (2022)

Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. - Mohammed Bakr Sikal; Heba Khdr; Martin Rapp; Jörg Henkel (DAC, 2023)

Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. - Marcel Mettler; Martin Rapp; Heba Khdr; Daniel Mueller-Gritschneder; Jörg Henkel; Ulf Schlichtmann (DATE, 2023)

MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems. - Marcel Mettler; Martin Rapp; Heba Khdr; Daniel Mueller-Gritschneder; Jörg Henkel; Ulf Schlichtmann (PARMA-DITAM, 2023)

Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. - Alexander Lindermayr; Nicole Megow; Martin Rapp (ICML, 2023)

Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. - Kilian Pfeiffer; Martin Rapp; Ramin Khalili; Jörg Henkel (ACM Comput. Surv., 2023)

CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. - Kilian Pfeiffer; Martin Rapp; Ramin Khalili; Jörg Henkel (Trans. Mach. Learn. Res., 2023)

Differentiable Slimming for Memory-Efficient Transformers. - Nikolay Penkov; Konstantinos Balaskas; Martin Rapp; Jörg Henkel (IEEE Embed. Syst. Lett., 2023)

Accelerating Automated Driving and ADAS Using HW/SW Codesign. - Shubham Rai; Cecilia De la Parra; Martin Rapp; Jan Micha Borrmann; Nina Bretz; Stefan Metzlaff; Taha Soliman; Christoph Schorn (SOCC, 2024)

Attention Is All You Need For Mixture-of-Depths Routing. - Advait Gadhikar; Souptik Kumar Majumdar; Niclas Popp; Piyapat Saranrittichai; Martin Rapp; Lukas Schott (CoRR, 2024)

NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. - Martin Rapp; Heba Khdr; Nikita Krohmer; Jörg Henkel (ACM Trans. Design Autom. Electr. Syst., 2024)

Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization. - Timur Carstensen; Neeratyoy Mallik; Frank Hutter; Martin Rapp (CoRR, 2025)

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods. - Abhash Kumar Jha; Shakiba Moradian; Arjun Krishnakumar; Martin Rapp; Frank Hutter (CoRR, 2025)