Martin Rapp

According to our database, Martin Rapp authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

2023

Differentiable Slimming for Memory-Efficient Transformers.

Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel

IEEE Embed. Syst. Lett., December, 2023

Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey.

Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel

ACM Comput. Surv., 2023

Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary.

Alexander Lindermayr, Nicole Megow, Martin Rapp

Proceedings of the International Conference on Machine Learning, 2023

MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems.

Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann

Proceedings of the 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, 2023

Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems.

Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores.

Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Machine Learning for Resource-Constrained Computing Systems.

Martin Rapp

PhD thesis, 2022

MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper.

Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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

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

CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization.

Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel

CoRR, 2022

Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction.

Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores.

Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems.

Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

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

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

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors.

Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors.

Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Impact of Negative Capacitance Field-Effect Transistor (NCFET) on Many-Core Systems.

Hussam Amrouch, Martin Rapp, Sami Salamin, Jörg Henkel

Proceedings of the A Journey of Embedded and Cyber-Physical Systems, 2021

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

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

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

Distributed Learning on Heterogeneous Resource-Constrained Devices.

Martin Rapp, Ramin Khalili, Jörg Henkel

CoRR, 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

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Energy Optimization in NCFET-based Processors.

Sami Salamin, Martin Rapp, Hussam Amrouch, Andreas Gerstlauer, Jörg Henkel

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

NCFET-Aware Voltage Scaling.

Sami Salamin, Martin Rapp, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 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

Proceedings of the International Conference on Computer-Aided Design, 2019

Prediction-Based Task Migration on S-NUCA Many-Cores.

Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Smart Thermal Management for Heterogeneous Multicores.

Jörg Henkel, Heba Khdr, Martin Rapp

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Performance, Power and Cooling Trade-Offs with NCFET-based Many-Cores.

Martin Rapp, Sami Salamin, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Pareto-Optimal Power- and Cache-Aware Task Mapping for Many-Cores with Distributed Shared Last-Level Cache.

Martin Rapp, Anuj Pathania, Jörg Henkel

Proceedings of the International Symposium on Low Power Electronics and Design, 2018