Martin Rapp - RankMe

48 papers A* 5A 10B 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization. AutoML Timur Carstensen, Neeratyoy Mallik, Frank Hutter, Martin Rapp
2025	J	`jnl`	Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization. CoRR Timur Carstensen, Neeratyoy Mallik, Frank Hutter, Martin Rapp
2025	B	`conf`	Optimization of DNNs Using a Hardware Aware Two Stage NAS for Automotive Embedded Targets. ICCP Andrei Viman, Mihai Negru, Martin Rapp, Taha Soliman
2025	J	`jnl`	TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control. CoRR Yuxiang Chen, Xiaoming Xu, Pengle Zhang, Michael Beyer, Martin Rapp, Jun Zhu, Jianfei Chen
2025	—	`conf`	\textttconfopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods. AutoML Abhash Kumar Jha, Shakiba Moradian, Arjun Krishnakumar, Martin Rapp, Frank Hutter
2025	J	`jnl`	confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods. CoRR Abhash Kumar Jha, Shakiba Moradian, Arjun Krishnakumar, Martin Rapp, Frank Hutter
2024	—	`conf`	Accelerating Automated Driving and ADAS Using HW/SW Codesign. SOCC Shubham Rai, Cecilia De la Parra, Martin Rapp, Jan Micha Borrmann, Nina Bretz, Stefan Metzlaff, Taha Soliman, Christoph Schorn
2024	J	`jnl`	Attention Is All You Need For Mixture-of-Depths Routing. CoRR Advait Gadhikar, Souptik Kumar Majumdar, Niclas Popp, Piyapat Saranrittichai, Martin Rapp, Lukas Schott
2024	J	`jnl`	NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. ACM Trans. Design Autom. Electr. Syst. Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel
2023	J	`jnl`	CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. Trans. Mach. Learn. Res. Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2023	J	`jnl`	Differentiable Slimming for Memory-Efficient Transformers. IEEE Embed. Syst. Lett. Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel
2023	A	`conf`	Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. DATE Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann
2023	J	`jnl`	Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. ACM Comput. Surv. Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2023	J	`jnl`	Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2023	A*	`conf`	Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel
2023	—	`conf`	MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems. PARMA-DITAM Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann
2023	A*	`conf`	Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. ICML Alexander Lindermayr, Nicole Megow, Martin Rapp
2023	J	`jnl`	Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. CoRR Alexander Lindermayr, Nicole Megow, Martin Rapp
2022	J	`jnl`	An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors. ACM Trans. Archit. Code Optim. Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann
2022	J	`jnl`	CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. CoRR Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2022	J	`jnl`	CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. ACM Trans. Archit. Code Optim. Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda
2022	A*	`conf`	DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel
2022	J	`jnl`	MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel
2022	—	`—`	Machine Learning for Resource-Constrained Computing Systems. Martin Rapp
2022	J	`jnl`	NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. CoRR Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel
2022	A	`conf`	NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. DATE Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel
2022	A	`conf`	Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. DATE Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel
2021	J	`jnl`	CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. CoRR Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda
2021	J	`jnl`	DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. CoRR Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel
2021	—	`conf`	Impact of Negative Capacitance Field-Effect Transistor (NCFET) on Many-Core Systems. A Journey of Embedded and Cyber-Physical Systems Hussam Amrouch, Martin Rapp, Sami Salamin, Jörg Henkel
2021	A	`conf`	Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. DATE Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf
2021	J	`jnl`	Minimizing Excess Timing Guard Banding Under Transistor Self-Heating Through Biasing at Zero-Temperature Coefficient. IEEE Access Sami Salamin, Victor M. van Santen, Martin Rapp, Jörg Henkel, Hussam Amrouch
2021	J	`jnl`	Neural Network-Based Performance Prediction for Task Migration on S-NUCA Many-Cores. IEEE Trans. Computers Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel
2021	—	`conf`	On the Effectiveness of Quantization and Pruning on the Performance of FPGAs-based NN Temperature Estimation. MLCAD Veera Venkata Ram Murali Krishna Rao Muvva, Martin Rapp, Jörg Henkel, Hussam Amrouch, Marilyn Wolf
2021	J	`jnl`	Power-Efficient Heterogeneous Many-Core Design With NCFET Technology. IEEE Trans. Computers Sami Salamin, Martin Rapp, Anuj Pathania, Arka Maity, Jörg Henkel, Tulika Mitra, Hussam Amrouch
2021	A*	`conf`	SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. DAC Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel
2020	J	`jnl`	A Lightweight Nonlinear Methodology to Accurately Model Multicore Processor Power. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mark Sagi, Nguyen Anh Vu Doan, Martin Rapp, Thomas Wild, Jörg Henkel, Andreas Herkersdorf
2020	J	`jnl`	Distributed Learning on Heterogeneous Resource-Constrained Devices. CoRR Martin Rapp, Ramin Khalili, Jörg Henkel
2020	J	`jnl`	Dynamic Power and Energy Management for NCFET-Based Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sami Salamin, Martin Rapp, Jörg Henkel, Andreas Gerstlauer, Hussam Amrouch
2020	A	`conf`	Energy Optimization in NCFET-based Processors. DATE Sami Salamin, Martin Rapp, Hussam Amrouch, Andreas Gerstlauer, Jörg Henkel
2020	J	`jnl`	Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores. IEEE Trans. Computers Martin Rapp, Mark Sagi, Anuj Pathania, Andreas Herkersdorf, Jörg Henkel
2020	—	`conf`	Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change. MLCAD Martin Rapp, Omar Elfatairy, Marilyn Wolf, Jörg Henkel, Hussam Amrouch
2019	A	`conf`	NCFET-Aware Voltage Scaling. ISLPED Sami Salamin, Martin Rapp, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel
2019	A*	`conf`	Performance, Power and Cooling Trade-Offs with NCFET-based Many-Cores. DAC Martin Rapp, Sami Salamin, Hussam Amrouch, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel
2019	A	`conf`	Prediction-Based Task Migration on S-NUCA Many-Cores. DATE Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel
2019	A	`conf`	Smart Thermal Management for Heterogeneous Multicores. DATE Jörg Henkel, Heba Khdr, Martin Rapp
2019	A	`conf`	The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. ICCAD 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
2018	A	`conf`	Pareto-Optimal Power- and Cache-Aware Task Mapping for Many-Cores with Distributed Shared Last-Level Cache. ISLPED Martin Rapp, Anuj Pathania, Jörg Henkel