Martin Rapp

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Pareto Optimality

Imitation Learning

Iterative Deepening

Resource Management

Top Venues

IEEE Trans. Computers

Publications

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) (2024)
Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. ACM Comput. Surv. 55 (14s) (2023)
Alexander Lindermayr, Nicole Megow, Martin Rapp
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. CoRR (2023)
Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC (2023)
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)
Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel
Differentiable Slimming for Memory-Efficient Transformers. IEEE Embed. Syst. Lett. 15 (4) (2023)
Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Renkel, Ulf Schlichtmann
Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. DATE (2023)
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)
Alexander Lindermayr, Nicole Megow, Martin Rapp
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. ICML (2023)
Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR (2023)
Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel
NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. CoRR (2022)
Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. CoRR (2022)
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) (2022)
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) (2022)
Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel
NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. DATE (2022)
Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI (2022)
Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel
Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. DATE (2022)
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) (2022)
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)
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)
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) (2021)
Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. CoRR (2021)
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 (2021)
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 (2021)
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) (2021)
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)
Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel
SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. DAC (2021)
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)
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) (2020)
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) (2020)
Sami Salamin, Martin Rapp, Hussam Amrouch, Andreas Gerstlauer, Jörg Henkel
Energy Optimization in NCFET-based Processors. DATE (2020)
Martin Rapp, Ramin Khalili, Jörg Henkel
Distributed Learning on Heterogeneous Resource-Constrained Devices. CoRR (2020)
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) (2020)
Jörg Henkel, Heba Khdr, Martin Rapp
Smart Thermal Management for Heterogeneous Multicores. DATE (2019)
Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel
Prediction-Based Task Migration on S-NUCA Many-Cores. DATE (2019)
Sami Salamin, Martin Rapp, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel
NCFET-Aware Voltage Scaling. ISLPED (2019)
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)
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)
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)