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Mohak Chadha
Mohak Chadha
其他姓名M Chadha
PhD Student, Department of Informatics, Technische Universität München
在 tum.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
DeepEdgeBench: Benchmarking deep neural networks on edge devices
SP Baller, A Jindal, M Chadha, M Gerndt
2021 IEEE International Conference on Cloud Engineering (IC2E), 20-30, 2021
852021
Fedless: Secure and scalable federated learning using serverless computing
A Grafberger, M Chadha, A Jindal, J Gu, M Gerndt
2021 IEEE International Conference on Big Data (Big Data), 164-173, 2021
612021
Function delivery network: Extending serverless computing for heterogeneous platforms
A Jindal, M Gerndt, M Chadha, V Podolskiy, P Chen
Software: Practice and Experience 51 (9), 1936-1963, 2021
562021
Fado: Faas functions and data orchestrator for multiple serverless edge-cloud clusters
CP Smith, A Jindal, M Chadha, M Gerndt, S Benedict
2022 IEEE 6th International conference on fog and edge computing (ICFEC), 17-25, 2022
462022
Towards federated learning using faas fabric
M Chadha, A Jindal, M Gerndt
Proceedings of the 2020 sixth international workshop on serverless computing …, 2020
382020
Architecture-specific performance optimization of compute-intensive faas functions
M Chadha, A Jindal, M Gerndt
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 478-483, 2021
32*2021
Extending slurm for dynamic resource-aware adaptive batch scheduling
M Chadha, J John, M Gerndt
2020 IEEE 27th International Conference on High Performance Computing, Data …, 2020
262020
Estimating the capacities of function-as-a-service functions
A Jindal, M Chadha, S Benedict, M Gerndt
Proceedings of the 14th IEEE/ACM International Conference on Utility and …, 2021
212021
Towards demystifying intra-function parallelism in serverless computing
M Kiener, M Chadha, M Gerndt
Proceedings of the Seventh International Workshop on Serverless Computing …, 2021
202021
A statistical approach to power estimation for x86 processors
M Chadha, T Ilsche, M Bielert, WE Nagel
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
202017
Tppfaas: Modeling serverless functions invocations via temporal point processes
M Steinbach, A Jindal, M Chadha, M Gerndt, S Benedict
Ieee Access 10, 9059-9084, 2022
192022
Courier: Delivering serverless functions within heterogeneous faas deployments
A Jindal, J Frielinghaus, M Chadha, M Gerndt
Proceedings of the 14th IEEE/ACM International Conference on Utility and …, 2021
19*2021
SLAM: SLO-aware memory optimization for serverless applications
G Safaryan, A Jindal, M Chadha, M Gerndt
2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 30-39, 2022
182022
Poster: Function delivery network: Extending serverless to heterogeneous computing
A Jindal, M Chadha, M Gerndt, J Frielinghaus, V Podolskiy, P Chen
2021 IEEE 41st International conference on distributed computing systems …, 2021
152021
Modelling dvfs and ufs for region-based energy aware tuning of hpc applications
M Chadha, M Gerndt
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
152019
FaST-GShare: Enabling efficient spatio-temporal GPU sharing in serverless computing for deep learning inference
J Gu, Y Zhu, P Wang, M Chadha, M Gerndt
Proceedings of the 52nd International Conference on Parallel Processing, 635-644, 2023
142023
Fedlesscan: Mitigating stragglers in serverless federated learning
M Elzohairy, M Chadha, A Jindal, A Grafberger, J Gu, M Gerndt, ...
2022 IEEE International Conference on Big Data (Big Data), 1230-1237, 2022
122022
Unified power and energy measurement api for hpc co-processors
M Chadha, A Srivastava, S Sarkar
2016 IEEE 35th International Performance Computing and Communications …, 2016
72016
GreenCourier: Carbon-Aware Scheduling for Serverless Functions
M Chadha, T Subramanian, E Arima, M Gerndt, M Schulz, O Abboud
Proceedings of the 9th International Workshop on Serverless Computing, 18-23, 2023
52023
Maff: Self-adaptive memory optimization for serverless functions
T Zubko, A Jindal, M Chadha, M Gerndt
European Conference on Service-Oriented and Cloud Computing, 137-154, 2022
52022
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