Michael Gerndt

Technical University of Munich — Germany

Computer Science · Physical Sciences

30h-index4.1kcitations448works0.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Parallel Computing and Optimization Techniques(139), Distributed and Parallel Computing Systems(117), Cloud Computing and Resource Management(81), Advanced Data Storage Technologies(57), Software System Performance and Reliability(55)

Publications365 total

Deadline Miss Minimization Scheduling for License-Constrained CAE Jobs in Hybrid Cloud Infrastructure
Lecture notes in computer science·2026
Energy Budget Distribution in Mobile Edge Computing Applications
2025
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-Grained GPU Allocation for SLO-Aware Serverless Inferences
Lecture notes in computer science·2025Open Access
Energy-Aware Duty Cycle Management for Solar-Powered IoT Devices
Sensors·2025Open Access
VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster
2025Open Access
Seniorfed: A Dynamic Leader-Based Federated Learning Framework for Senior Homecare
2025
Serverless IoT Framework
2025
Effect of Pipelining on Resource-Aware Application-Level Checkpointing System for Malleable MPI Applications
2025
A Prediction-Enabled Scheduling Framework for Cloud Manufacturing Applications
Communications in computer and information science·2025
Leveraging Resource-Aware Application-Level Checkpointing and RDMA for Fault Tolerance and Data Distribution in Malleable MPI Applications
2024
Command-line Risk Classification using Transformer-based Neural Architectures
arXiv (Cornell University)·2024Open Access
Elastic Workflows in Hybrid Cloud for CAE Simulations
2024
Economy-based Greedy Bidding for Resources for CAE Workflows in Hybrid Cloud Infrastructure
2024· 1 cited
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
arXiv (Cornell University)·2024· 1 citedOpen Access
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning
2024· 4 citedOpen Access
gFaaS: Enabling Generic Functions in Serverless Computing
2024· 1 cited
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning
arXiv (Cornell University)·2024Open Access
gFaaS: Enabling Generic Functions in Serverless Computing
arXiv (Cornell University)·2024Open Access
GreenCourier
2023· 23 citedOpen Access
page 1 of 19Next →

Frequent Co-authors

David Padua(54), Anshul Jindal(9), Davide Sangiorgi(8), Mohak Chadha(7), Bruce Leasure(6), David J. Kuck(6), Sergei Gorlatch(6), Murray Cole(6), Gregory R. Watson(6), Alain Darte(6), Utpal Banerjee(6), Howard Jay Siegel(6), Bobby Dalton Young(6), Roy H. Campbell(6), Ümit V. Çatalyürek(6), Jasmin Ajanovic(6), Roger Wattenhofer(6), E. N. Mootaz Elnozahy(6), Evan W. Speight(6), Ram Rajamony(6)