41 citations · 144 across the 18 of their papers we have counts for
6 papers · 1 filter
Towards Demystifying Intra-Function Parallelism in Serverless Computing
Michael Kiener, Mohak Chadha, Michael Gerndt
Serverless computing offers a pay-per-use model with high elasticity and automatic scaling for a wide range of applications. Since cloud providers abstract most of the underlying i…
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Andreas Grafberger, Mohak Chadha, Anshul Jindal +2
The traditional cloud-centric approach for Deep Learning (DL) requires training data to be collected and processed at a central server which is often challenging in privacy-sensiti…
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
Stephan Patrick Baller, Anshul Jindal, Mohak Chadha +1
EdgeAI (Edge computing based Artificial Intelligence) has been most actively researched for the last few years to handle variety of massively distributed AI applications to meet up…
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions
Mohak Chadha, Anshul Jindal, Michael Gerndt
FaaS allows an application to be decomposed into functions that are executed on a FaaS platform. The FaaS platform is responsible for the resource provisioning of the functions. Re…
Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications
Mohak Chadha, Michael Gerndt
Energy efficiency and energy conservation are one of the most crucial constraints for meeting the 20MW power envelope desired for exascale systems. Towards this, most of the resear…
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms
Anshul Jindal, Michael Gerndt, Mohak Chadha +2
Serverless computing has rapidly grown following the launch of Amazon's Lambda platform. Function-as-a-Service (FaaS) a key enabler of serverless computing allows an application to…