Publications

2022

1. IEEE Access

   TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

   Steinbach, Markus, Jindal, Anshul, Chadha, Mohak, Gerndt, Michael, and Benedict, Shajulin

   IEEE Access 2022

   Bib HTML

   @article{DBLP:journals/access/SteinbachJCGB22,
     author = {Steinbach, Markus and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael and Benedict, Shajulin},
     title = {TppFaaS: Modeling Serverless Functions Invocations via Temporal Point
                    Processes},
     journal = {{IEEE} Access},
     volume = {10},
     pages = {9059--9084},
     year = {2022},
     url = {https://doi.org/10.1109/ACCESS.2022.3144078},
     doi = {10.1109/ACCESS.2022.3144078},
     timestamp = {Tue, 08 Feb 2022 10:41:26 +0100},
     biburl = {https://dblp.org/rec/journals/access/SteinbachJCGB22.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     html = {https://doi.org/10.1109/ACCESS.2022.3144078},
     bibtex_show = {true},
     selected = {false},
     abbr = {IEEE Access}
   }

2021

1. Soft. Prac. Exp.

   Function delivery network: Extending serverless computing for heterogeneous platforms

   Jindal, Anshul, Gerndt, Michael, Chadha, Mohak, Podolskiy, Vladimir, and Chen, Pengfei

   Softw. Pract. Exp. 2021

   Bib HTML

   @article{DBLP:journals/spe/JindalGCPC21,
     author = {Jindal, Anshul and Gerndt, Michael and Chadha, Mohak and Podolskiy, Vladimir and Chen, Pengfei},
     title = {Function delivery network: Extending serverless computing for heterogeneous
                    platforms},
     journal = {Softw. Pract. Exp.},
     volume = {51},
     number = {9},
     pages = {1936--1963},
     year = {2021},
     url = {https://doi.org/10.1002/spe.2966},
     doi = {10.1002/spe.2966},
     timestamp = {Thu, 12 Aug 2021 17:51:17 +0200},
     biburl = {https://dblp.org/rec/journals/spe/JindalGCPC21.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     html = {https://doi.org/10.1002/spe.2966},
     abbr = {Soft. Prac. Exp.},
     publisher = {Wiley Online Library},
     bibtex_show = {true},
     selected = {false}
   }

2024

1. CCGrid

   Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments

   Chadha, Mohak, Jensen, Alexander, Gu, Jianfeng, Abboud, Osama, and Gerndt, Michael

   In 2024 IEEE/ACM 24th International Symposium On Cluster, Cloud, and Internet Computing (CCGrid) 2024

   Bib HTML Slides

   @inproceedings{apodotiko,
     author = {Chadha, Mohak and Jensen, Alexander and Gu, Jianfeng and Abboud, Osama and Gerndt, Michael},
     booktitle = {2024 IEEE/ACM 24th International Symposium On Cluster, Cloud, and Internet Computing (CCGrid)},
     title = {Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments},
     year = {2024},
     abbr = {CCGrid},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2404.14033},
     slides = {https://drive.google.com/file/d/1A9ppuB5pJzshJWnsDWK-25So-T0V09gf/view?usp=sharing}
   }

2. SAC

   Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning

   Chadha, Mohak, Khera, Pulkit, Gu, Jianfeng, Abboud, Osama, and Gerndt, Michael

   In 2024 ACM/SIGAPP 39th Symposium On Applied Computing (SAC) 2024

   Bib HTML Slides

   @inproceedings{serverlesskd,
     author = {Chadha, Mohak and Khera, Pulkit and Gu, Jianfeng and Abboud, Osama and Gerndt, Michael},
     booktitle = {2024 ACM/SIGAPP 39th Symposium On Applied Computing (SAC)},
     title = {Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning},
     year = {2024},
     abbr = {SAC},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2402.07295.pdf},
     slides = {https://drive.google.com/file/d/1EHvq7JDXn1hhqKCl7PNV6WFWOX-3asBt/view?usp=sharing}
   }

3. SANER

   gFaaS: Enabling Generic Functions in Serverless Computing

   Chadha, Mohak, Wieland, Paul, and Gerndt, Michael

   In 2024 IEEE 31st International Conference on Software Analysis, Evolution and Reengineering (SANER) 2024

   Bib HTML Video

   @inproceedings{gfaaS,
     author = {Chadha, Mohak and Wieland, Paul and Gerndt, Michael},
     booktitle = {2024 IEEE 31st International Conference on Software Analysis, Evolution and Reengineering (SANER)},
     title = {gFaaS: Enabling Generic Functions in Serverless Computing},
     year = {2024},
     abbr = {SANER},
     bibtex_show = {true},
     html = {https://arxiv.org/abs/2401.10367},
     presentation = {https://youtu.be/STbb6ykJFf0},
     selected = {false}
   }

2023

1. WoSC@Middleware

   GreenCourier: Carbon-Aware Scheduling for Serverless Functions

   Chadha, Mohak, Subramanian, Thandayuthapani, Arima, Eishi, Gerndt, Michael, Schulz, Martin, and Abboud, Osama

   In Proceedings of the 2023 Ninth International Workshop on Serverless Computing (WoSC9) 2023

   Bib HTML Slides Video

   @inproceedings{greencourier,
     author = {Chadha, Mohak and Subramanian, Thandayuthapani and Arima, Eishi and Gerndt, Michael and Schulz, Martin and Abboud, Osama},
     booktitle = {Proceedings of the 2023 Ninth International Workshop on Serverless Computing (WoSC9)},
     title = {GreenCourier: Carbon-Aware Scheduling for Serverless Functions},
     year = {2023},
     volume = {},
     number = {},
     abbr = {WoSC@Middleware},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2310.20375.pdf},
     slides = {https://drive.google.com/file/d/1axjiKEb-eql_yV-4Rz-_sk9oM6lWAMkX/view?usp=sharing},
     presentation = {https://youtu.be/oAL5C5XxvOg},
     selected = {true}
   }

2. SC-W

   Sustainability in HPC: Vision and Opportunities

   Chadha, Mohak, Arima, Eishi, Raoofy, Amir, Gerndt, Michael, and Schulz, Martin

   In 2023 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W) 2023

   Bib HTML Slides

   @inproceedings{greensc,
     author = {Chadha, Mohak and Arima, Eishi and Raoofy, Amir and Gerndt, Michael and Schulz, Martin},
     booktitle = {2023 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W)},
     title = {Sustainability in HPC: Vision and Opportunities},
     year = {2023},
     volume = {},
     number = {},
     abbr = {SC-W},
     bibtex_show = {true},
     html = {https://arxiv.org/abs/2309.13473},
     slides = {https://drive.google.com/file/d/1WFczinac40-nphxKRq6L9AAPRikn4zpN/view?usp=sharing},
     selected = {true}
   }

3. ICPP

   FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference

   Gu, Jianfeng, Zhu, Yichao, Wang, Puxuan, Chadha, Mohak, and Gerndt, Michael

   In 2023 52nd International Conference on Parallel Processing (ICPP) 2023

   Bib HTML

   @inproceedings{faastgshare,
     author = {Gu, Jianfeng and Zhu, Yichao and Wang, Puxuan and Chadha, Mohak and Gerndt, Michael},
     booktitle = {2023 52nd International Conference on Parallel Processing (ICPP)},
     title = {FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference},
     year = {2023},
     volume = {},
     number = {},
     abbr = {ICPP},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2309.00558.pdf}
   }

4. PPoPP

   Exploring the Use of WebAssembly in HPC

   Chadha, Mohak, Krueger, Nils, John, Jophin, Jindal, Anshul, Gerndt, Michael, and Benedict, Shajulin

   In 2023 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP) 2023

   Bib HTML Slides Video

   @inproceedings{mpiwasm,
     author = {Chadha, Mohak and Krueger, Nils and John, Jophin and Jindal, Anshul and Gerndt, Michael and Benedict, Shajulin},
     booktitle = {2023 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP)},
     title = {Exploring the Use of WebAssembly in HPC},
     year = {2023},
     volume = {},
     number = {},
     abbr = {PPoPP},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2301.03982.pdf},
     presentation = {https://youtu.be/A6JV0JORc2A},
     slides = {https://drive.google.com/file/d/17b4aozSNZh5OP7mWKM9wNXwlsign9AfF/view?usp=sharing},
     selected = {true}
   }

2022

1. BigData

   FedLesScan: Mitigating Stragglers in Serverless Federated Learning

   Elzohairy, Mohamed, Chadha, Mohak, Jindal, Anshul, Grafberger, Andreas, Gu, Jianfeng, Gerndt, Michael, and Abboud, Osama

   In 2022 IEEE 10th International Conference on Big Data (IEEE BigData) 2022

   Bib HTML Slides Video

   @inproceedings{fedlessscan,
     author = {Elzohairy, Mohamed and Chadha, Mohak and Jindal, Anshul and Grafberger, Andreas and Gu, Jianfeng and Gerndt, Michael and Abboud, Osama},
     booktitle = {2022 IEEE 10th International Conference on Big Data (IEEE BigData)},
     title = {FedLesScan: Mitigating Stragglers in Serverless Federated Learning},
     year = {2022},
     volume = {},
     number = {},
     abbr = {BigData},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2211.05739.pdf},
     selected = {true},
     presentation = {https://youtu.be/p4JkJFKqWRg},
     slides = {https://drive.google.com/file/d/1BFMXbfLgIM0-GAyOEl7ukQoRR1jsQRop/view?usp=sharing}
   }

2. WoSC@Middleware

   Migrating from Microservices to Serverless: An IoT Platform Case Study

   Chadha, Mohak, Pacyna, Victor, Jindal, Anshul, Gu, Jianfeng, and Gerndt, Michael

   In Proceedings of the 2022 Eight International Workshop on Serverless Computing 2022

   Bib HTML Slides Video

   @inproceedings{chadhawosc,
     author = {Chadha, Mohak and Pacyna, Victor and Jindal, Anshul and Gu, Jianfeng and Gerndt, Michael},
     booktitle = {Proceedings of the 2022 Eight International Workshop on Serverless Computing},
     title = {Migrating from Microservices to Serverless: An IoT Platform Case Study},
     year = {2022},
     volume = {},
     number = {},
     abbr = {WoSC@Middleware},
     selected = {true},
     bibtex_show = {false},
     html = {https://arxiv.org/pdf/2210.04212.pdf},
     slides = {https://drive.google.com/file/d/1EgvuMJeMV6xkIGrPLR50-hbvAOcnW5_L/view?usp=sharing},
     presentation = {https://youtu.be/-CAOR7YO3c8}
   }

3. IEEE CLOUD

   SLAM: SLO-Aware Memory Optimization for Serverless Applications

   Safaryan, Gor, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael

   In 2022 IEEE 15th International Conference on Cloud Computing (IEEE CLOUD) 2022

   Bib HTML

   @inproceedings{slam,
     author = {Safaryan, Gor and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael},
     booktitle = {2022 IEEE 15th International Conference on Cloud Computing (IEEE CLOUD)},
     title = {SLAM: SLO-Aware Memory Optimization for Serverless Applications},
     year = {2022},
     volume = {},
     number = {},
     abbr = {IEEE CLOUD},
     selected = {true},
     bibtex_show = {false},
     doi = {https://doi.org/10.1109/CLOUD55607.2022.00019},
     html = {https://arxiv.org/pdf/2207.06183.pdf}
   }

4. SANER

   Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes

   Christoph, Reile, Chadha, Mohak, Hauner, Valentin, Jindal, Anshul, Hofmann, Benjamin, and Gerndt, Michael

   In 2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER) 2022

   Bib HTML Video

   @inproceedings{bunk8s,
     author = {Christoph, Reile and Chadha, Mohak and Hauner, Valentin and Jindal, Anshul and Hofmann, Benjamin and Gerndt, Michael},
     booktitle = {2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER)},
     title = {Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes},
     year = {2022},
     volume = {},
     number = {},
     abbr = {SANER},
     bibtex_show = {false},
     doi = {https://doi.org/10.1109/SANER53432.2022.00062},
     html = {https://arxiv.org/pdf/2207.06811.pdf},
     presentation = {https://www.youtube.com/watch?v=e8wbS25O4Bo}
   }

5. ESOCC

   MAAF: Self-Adaptive Memory Optimization for Serverless Functions

   Zubko, Tetiana, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael

   In Service-Oriented and Cloud Computing 2022

   Bib HTML

   @inproceedings{maaf,
     author = {Zubko, Tetiana and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael},
     booktitle = {Service-Oriented and Cloud Computing},
     title = {MAAF: Self-Adaptive Memory Optimization for Serverless Functions},
     publisher = {Springer International Publishing},
     address = {Cham},
     pages = {137--154},
     year = {2022},
     isbn = {137--154},
     abbr = {ESOCC},
     bibtex_show = {false},
     doi = {https://doi.org/10.1007/978-3-031-04718-3_9},
     html = {https://www.researchgate.net/publication/359949441_MAFF_Self-adaptive_Memory_Optimization_for_Serverless_Functions}
   }

6. ICFEC

   FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters

   Smith, Christopher, Jindal, Anshul, Chadha, Mohak, Gerndt, Michael, and Benedict, Shajulin

   In 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC) 2022

   Bib HTML

   @inproceedings{fado,
     author = {Smith, Christopher and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael and Benedict, Shajulin},
     booktitle = {2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)},
     title = {FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters},
     year = {2022},
     volume = {},
     number = {},
     abbr = {ICFEC},
     bibtex_show = {false},
     doi = {https://doi.org/10.1109/ICFEC54809.2022.00010},
     html = {https://anshul-jindal.me/publication/fado/fado.pdf}
   }

7. CLOSER

   Scalable Infrastructure for Workload Characterization of Cluster Traces

   Loo, Thomas, Jindal, Anshul, Benedict, Shajulin, Chadha, Mohak, and Gerndt, Michael

   In 2022 12th International Conference on Cloud Computing and Services Science (CLOSER) 2022

   Bib HTML

   @inproceedings{scalableinfro,
     author = {van Loo, Thomas and Jindal, Anshul and Benedict, Shajulin and Chadha, Mohak and Gerndt, Michael},
     booktitle = {2022 12th International Conference on Cloud Computing and Services Science (CLOSER)},
     title = {Scalable Infrastructure for Workload Characterization of Cluster Traces},
     year = {2022},
     volume = {},
     number = {},
     abbr = {CLOSER},
     bibtex_show = {false},
     doi = {https://doi.org/10.5220/0011080300003200},
     html = {https://arxiv.org/pdf/2205.11582.pdf}
   }

2021

1. BigData

   FedLess: Secure and Scalable Federated Learning Using Serverless Computing

   Grafberger, Andreas, Chadha, Mohak, Jindal, Anshul, Gu, Jianfeng, and Gerndt, Michael

   In 2021 IEEE 9th International Conference on Big Data (IEEE BigData) 2021

   Bib HTML Slides Video

   @inproceedings{fedless,
     author = {Grafberger, Andreas and Chadha, Mohak and Jindal, Anshul and Gu, Jianfeng and Gerndt, Michael},
     booktitle = {2021 IEEE 9th International Conference on Big Data (IEEE BigData)},
     title = {FedLess: Secure and Scalable Federated Learning Using Serverless Computing},
     year = {2021},
     volume = {},
     number = {},
     abbr = {BigData},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2111.03396.pdf},
     selected = {true},
     slides = {https://drive.google.com/file/d/1lxozQ-sGKnh74VaL81_sWvbOIsFJvVNL/view?usp=sharing},
     presentation = {https://youtu.be/qsAn5_P03k8}
   }

2. IEEE CLOUD

   Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions

   Chadha, Mohak, Jindal, Anshul, and Gerndt, Michael

   In 2021 IEEE 14th International Conference on Cloud Computing (IEEE CLOUD) 2021

   Bib HTML Slides

   @inproceedings{chadhaarchitecture,
     author = {Chadha, Mohak and Jindal, Anshul and Gerndt, Michael},
     booktitle = {2021 IEEE 14th International Conference on Cloud Computing (IEEE CLOUD)},
     title = {Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions},
     year = {2021},
     volume = {},
     number = {},
     abbr = {IEEE CLOUD},
     bibtex_show = {true},
     doi = {10.1109/CLOUD53861.2021.00062},
     html = {https://arxiv.org/pdf/2107.10008.pdf},
     selected = {true},
     slides = {https://drive.google.com/file/d/19C82gShhtBER0Vb30iQW3v7_tVEthI9g/view?usp=sharing}
   }

3. IEEE/ACM UCC

   Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments

   Jindal, Anshul, Frielinghaus, Julian, Chadha, Mohak, and Gerndt, Michael

   In 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC) 2021

   Bib HTML

   @inproceedings{jindalcourier,
     author = {Jindal, Anshul and Frielinghaus, Julian and Chadha, Mohak and Gerndt, Michael},
     booktitle = {2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC)},
     title = {Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments},
     year = {2021},
     volume = {},
     number = {},
     abbr = {IEEE/ACM UCC},
     url = {https://doi.org/10.1145/3468737.3494097},
     doi = {10.1145/3468737.3494097},
     bibtex_show = {true},
     html = {https://doi.org/10.1145/3468737.3494097},
     selected = {false}
   }

4. IC2E

   DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

   Baller, Patrick Stephan, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael

   In 2021 IEEE 9th International Conference on Cloud Engineering (IC2E) 2021

   Bib HTML

   @inproceedings{deepedgebench,
     author = {Baller, Patrick Stephan and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael},
     booktitle = {2021 IEEE 9th International Conference on Cloud Engineering (IC2E)},
     title = {DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices},
     year = {2021},
     volume = {},
     number = {},
     abbr = {IC2E},
     bibtex_show = {true},
     doi = {10.1109/IC2E52221.2021.00016},
     html = {https://arxiv.org/pdf/2108.09457.pdf},
     selected = {false}
   }

5. WoSC@Middleware

   Towards Demystifying Intra-Function Parallelism in Serverless Computing

   Kiener, Michael, Chadha, Mohak, and Gerndt, Michael

   In Proceedings of the 2021 Seventh International Workshop on Serverless Computing 2021

   Bib HTML Slides Video

   @inproceedings{kienerwosc,
     author = {Kiener, Michael and Chadha, Mohak and Gerndt, Michael},
     booktitle = {Proceedings of the 2021 Seventh International Workshop on Serverless Computing},
     title = {Towards Demystifying Intra-Function Parallelism in Serverless Computing},
     year = {2021},
     volume = {},
     number = {},
     abbr = {WoSC@Middleware},
     selected = {false},
     doi = {10.1145/3493651.3493672},
     bibtex_show = {true},
     html = {https://dl.acm.org/doi/10.1145/3493651.3493672},
     presentation = {https://www.youtube.com/watch?v=CUOyobcfOfo&ab_channel=MKiener},
     slides = {https://drive.google.com/file/d/1Qet50ALeZbj955NAOHEYQqLZZ5hKd8OE/view?usp=sharing}
   }

6. CloudAM@UCC

   Estimating the Capacities of Function-as-a-Service Functions

   Jindal, Anshul, Chadha, Mohak, Benedict, Shajulin, and Gerndt, Michael

   In Proceedings of the 2021 10th International Workshop on Cloud and Edge Computing, and Applications Management 2021

2020

1. WoSC@Middleware

   Towards Federated Learning Using FaaS Fabric

   Chadha, Mohak, Jindal, Anshul, and Gerndt, Michael

   In Proceedings of the 2020 Sixth International Workshop on Serverless Computing 2020

   Abs Bib HTML Slides Video

   Federated learning (FL) enables resource-constrained edge devices to learn a shared Machine Learning (ML) or Deep Neural Network (DNN) model, while keeping the training data local and providing privacy, security, and economic benefits. However, building a shared model for heterogeneous devices such as resource-constrained edge and cloud makes the efficient management of FL-clients challenging. Furthermore, with the rapid growth of FL-clients, the scaling of FL training process is also difficult.In this paper, we propose a possible solution to these challenges: federated learning over a combination of connected Function-as-a-Service platforms, i.e., FaaS fabric offering a seamless way of extending FL to heterogeneous devices. Towards this, we present FedKeeper, a tool for efficiently managing FL over FaaS fabric. We demonstrate the functionality of FedKeeper by using three FaaS platforms through an image classification task with a varying number of devices/clients, different stochastic optimizers, and local computations (local epochs).

   @inproceedings{chadhafl,
     author = {Chadha, Mohak and Jindal, Anshul and Gerndt, Michael},
     title = {Towards Federated Learning Using FaaS Fabric},
     year = {2020},
     isbn = {9781450382045},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3429880.3430100},
     doi = {10.1145/3429880.3430100},
     booktitle = {Proceedings of the 2020 Sixth International Workshop on Serverless Computing},
     pages = {49–54},
     numpages = {6},
     keywords = {Federated learning, Neural networks, FaaS, Serverless, FaaS platforms, Function-as-a-service},
     location = {Delft, Netherlands},
     series = {WoSC'20},
     bibtex_show = {true},
     html = {https://www.researchgate.net/profile/Anshul-Jindal-2/publication/346740625_Towards_Federated_Learning_using_FaaS_Fabric/links/5fd00998a6fdcc697bef60f5/Towards-Federated-Learning-using-FaaS-Fabric.pdf},
     abbr = {WoSC@Middleware},
     slides = {https://www.serverlesscomputing.org/wosc6/presentations/WoSC_2020_Presentation_P9.pdf},
     presentation = {https://youtu.be/CjK4mevTTTc}
   }

2. HiPC

   Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling

   Chadha, Mohak, John, Jophin, and Gerndt, Michael

   In 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC) 2020

   Bib HTML

   @inproceedings{chadhaextend,
     author = {Chadha, Mohak and John, Jophin and Gerndt, Michael},
     booktitle = {2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)},
     title = {Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling},
     year = {2020},
     volume = {},
     number = {},
     pages = {223-232},
     doi = {10.1109/HiPC50609.2020.00036},
     abbr = {HiPC},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2009.08289.pdf}
   }

2019

1. IPDPS

   Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications

   Chadha, Mohak, and Gerndt, Michael

   In 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2019

   Bib HTML

   @inproceedings{chadhamodel,
     author = {Chadha, Mohak and Gerndt, Michael},
     booktitle = {2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
     title = {Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications},
     year = {2019},
     volume = {},
     number = {},
     pages = {805-814},
     doi = {10.1109/IPDPS.2019.00089},
     bibtex_show = {true},
     html = {https://arxiv.org/pdf/2105.09642.pdf},
     abbr = {IPDPS}
   }

2017

1. HPPAC@IPDPS

   A Statistical Approach to Power Estimation for x86 Processors

   Chadha, Mohak, Ilsche, Thomas, Bielert, Mario, and Nagel, Wolfgang E.

   In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2017

   Bib HTML

   @inproceedings{chadhastat,
     author = {Chadha, Mohak and Ilsche, Thomas and Bielert, Mario and Nagel, Wolfgang E.},
     booktitle = {2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
     title = {A Statistical Approach to Power Estimation for x86 Processors},
     year = {2017},
     volume = {},
     number = {},
     pages = {1012-1019},
     doi = {10.1109/IPDPSW.2017.98},
     abbr = {HPPAC@IPDPS},
     html = {https://tu-dresden.de/zih/forschung/ressourcen/dateien/projekte/haec/hppac_2017_authorversion.pdf?lang=en},
     bibtex_show = {true}
   }

2016

1. IPCCC

   Unified power and energy measurement API for HPC co-processors

   Chadha, Mohak, Srivastava, Abhishek, and Sarkar, Santonu

   In 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC) 2016

   Bib HTML

   @inproceedings{chadha2016unified,
     title = {Unified power and energy measurement API for HPC co-processors},
     author = {Chadha, Mohak and Srivastava, Abhishek and Sarkar, Santonu},
     booktitle = {2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)},
     pages = {1--8},
     year = {2016},
     organization = {IEEE},
     abbr = {IPCCC},
     html = {https://ieeexplore.ieee.org/abstract/document/7820633},
     bibtex_show = {true}
   }

2021

1. ICDCS

   Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing

   Jindal, Anshul, Chadha, Mohak, Gerndt, Michael, Frielinghaus, Julian, Podolskiy, Vladimir, and Chen, Pengfei

   In 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) 2021

   Bib HTML

   @inproceedings{poster,
     author = {Jindal, Anshul and Chadha, Mohak and Gerndt, Michael and Frielinghaus, Julian and Podolskiy, Vladimir and Chen, Pengfei},
     booktitle = {2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)},
     title = {Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing},
     year = {2021},
     volume = {},
     number = {},
     pages = {1128-1129},
     doi = {10.1109/ICDCS51616.2021.00120},
     abbr = {ICDCS},
     bibtex_show = {true},
     html = {https://ieeexplore.ieee.org/document/9546403}
   }