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ORCIDMohak Chadha
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2020 – today
- 2024
[c26]Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. CCGrid 2024: 206-215- [c25]Mohak Chadha
, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. SAC 2024: 997-1006 - [c24]Mohak Chadha, Paul Wieland, Michael Gerndt:
gFaaS: Enabling Generic Functions in Serverless Computing. SANER 2024: 57-61 - [i20]Mohak Chadha, Paul Wieland, Michael Gerndt:
gFaaS: Enabling Generic Functions in Serverless Computing. CoRR abs/2401.10367 (2024) - [i19]Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. CoRR abs/2402.07295 (2024) - [i18]Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. CoRR abs/2404.14033 (2024) - 2023
- [c23]Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. ICPP 2023: 635-644 - [c22]Mohak Chadha, Nils Krueger, Jophin John, Anshul Jindal, Michael Gerndt, Shajulin Benedict:
Exploring the Use of WebAssembly in HPC. PPoPP 2023: 92-106 - [c21]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - [c20]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. WOSC@Middleware 2023: 18-23 - [i17]Mohak Chadha, Nils Krueger, Jophin John, Anshul Jindal, Michael Gerndt, Shajulin Benedict:
Exploring the Use of WebAssembly in HPC. CoRR abs/2301.03982 (2023) - [i16]Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. CoRR abs/2309.00558 (2023) - [i15]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. CoRR abs/2309.13473 (2023) - [i14]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. CoRR abs/2310.20375 (2023) - 2022
- [j2]Markus Steinbach, Anshul Jindal, Mohak Chadha, Michael Gerndt, Shajulin Benedict:
TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes. IEEE Access 10: 9059-9084 (2022) - [c19]Gor Safaryan, Anshul Jindal, Mohak Chadha, Michael Gerndt:
SLAM: SLO-Aware Memory Optimization for Serverless Applications. CLOUD 2022: 30-39 - [c18]Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. IEEE Big Data 2022: 1230-1237 - [c17]Thomas van Loo, Anshul Jindal, Shajulin Benedict, Mohak Chadha, Michael Gerndt:
Scalable Infrastructure for Workload Characterization of Cluster Traces. CLOSER 2022: 254-263 - [c16]Tetiana Zubko, Anshul Jindal, Mohak Chadha, Michael Gerndt:
MAFF: Self-adaptive Memory Optimization for Serverless Functions. ESOCC 2022: 137-154 - [c15]Christopher Peter Smith, Anshul Jindal, Mohak Chadha, Michael Gerndt, Shajulin Benedict:
FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters. ICFEC 2022: 17-25 - [c14]Christoph Reile, Mohak Chadha, Valentin Hauner, Anshul Jindal, Benjamin Hofmann, Michael Gerndt:
Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes. SANER 2022: 459-463 - [c13]Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
Migrating from microservices to serverless: an IoT platform case study. WOSC@Middleware 2022: 19-24 - [i13]Anshul Jindal, Mohak Chadha, Shajulin Benedict, Michael Gerndt:
Estimating the Capacities of Function-as-a-Service Functions. CoRR abs/2201.11454 (2022) - [i12]Thomas van Loo, Anshul Jindal, Shajulin Benedict, Mohak Chadha, Michael Gerndt:
Scalable Infrastructure for Workload Characterization of Cluster Traces. CoRR abs/2205.11582 (2022) - [i11]Gor Safaryan, Anshul Jindal, Mohak Chadha, Michael Gerndt:
SLAM: SLO-Aware Memory Optimization for Serverless Applications. CoRR abs/2207.06183 (2022) - [i10]Christoph Reile, Mohak Chadha, Valentin Hauner, Anshul Jindal, Benjamin Hofmann, Michael Gerndt:
Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes. CoRR abs/2207.06811 (2022) - [i9]Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
Migrating from Microservices to Serverless: An IoT Platform Case Study. CoRR abs/2210.04212 (2022) - [i8]Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. CoRR abs/2211.05739 (2022) - 2021
- [j1]Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen:
Function delivery network: Extending serverless computing for heterogeneous platforms. Softw. Pract. Exp. 51(9): 1936-1963 (2021) - [c12]Mohak Chadha, Anshul Jindal, Michael Gerndt:
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. CLOUD 2021: 478-483 - [c11]Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. IEEE BigData 2021: 164-173 - [c10]Stephan Patrick Baller, Anshul Jindal, Mohak Chadha, Michael Gerndt:
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. IC2E 2021: 20-30 - [c9]Anshul Jindal, Mohak Chadha, Michael Gerndt, Julian Frielinghaus, Vladimir Podolskiy, Pengfei Chen:
Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing. ICDCS 2021: 1128-1129 - [c8]Michael Kiener, Mohak Chadha, Michael Gerndt:
Towards Demystifying Intra-Function Parallelism in Serverless Computing. WOSC@Middleware 2021: 42-49 - [c7]Anshul Jindal, Julian Frielinghaus, Mohak Chadha, Michael Gerndt:
Courier: delivering serverless functions within heterogeneous FaaS deployments. UCC 2021: 11:1-11:10 - [c6]Anshul Jindal, Mohak Chadha, Shajulin Benedict, Michael Gerndt:
Estimating the capacities of function-as-a-service functions. UCC Companion 2021: 19:1-19:8 - [i7]Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen:
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms. CoRR abs/2102.02330 (2021) - [i6]Mohak Chadha, Michael Gerndt:
Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. CoRR abs/2105.09642 (2021) - [i5]Mohak Chadha, Anshul Jindal, Michael Gerndt:
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. CoRR abs/2107.10008 (2021) - [i4]Stephan Patrick Baller, Anshul Jindal, Mohak Chadha, Michael Gerndt:
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. CoRR abs/2108.09457 (2021) - [i3]Michael Kiener, Mohak Chadha, Michael Gerndt:
Towards Demystifying Intra-Function Parallelism in Serverless Computing. CoRR abs/2110.12090 (2021) - [i2]Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. CoRR abs/2111.03396 (2021) - 2020
- [c5]Mohak Chadha, Jophin John, Michael Gerndt:
Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. HiPC 2020: 223-232 - [c4]Mohak Chadha, Anshul Jindal, Michael Gerndt:
Towards Federated Learning using FaaS Fabric. WOSC@Middleware 2020: 49-54 - [i1]Mohak Chadha, Jophin John, Michael Gerndt:
Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. CoRR abs/2009.08289 (2020)
2010 – 2019
- 2019
- [c3]Mohak Chadha, Michael Gerndt:
Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. IPDPS 2019: 805-814 - 2017
- [c2]Mohak Chadha, Thomas Ilsche, Mario Bielert, Wolfgang E. Nagel:
A Statistical Approach to Power Estimation for x86 Processors. IPDPS Workshops 2017: 1012-1019 - 2016
- [c1]Mohak Chadha, Abhishek Srivastava, Santonu Sarkar:
Unified power and energy measurement API for HPC co-processors. IPCCC 2016: 1-8
Coauthor Index
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