Unified power and energy measurement API for HPC co-processors. - Mohak Chadha; Abhishek Srivastava 001; Santonu Sarkar (IPCCC, 2016)

A Statistical Approach to Power Estimation for x86 Processors. - Mohak Chadha; Thomas Ilsche; Mario Bielert; Wolfgang E. Nagel (IPDPS Workshops, 2017)

Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. - Mohak Chadha; Michael Gerndt (IPDPS, 2019)

Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. - Mohak Chadha; Jophin John; Michael Gerndt (HiPC, 2020)

Towards Federated Learning using FaaS Fabric. - Mohak Chadha; Anshul Jindal; Michael Gerndt (WOSC@Middleware, 2020)

Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. - Mohak Chadha; Anshul Jindal; Michael Gerndt (CLOUD, 2021)

FedLess: Secure and Scalable Federated Learning Using Serverless Computing. - Andreas Grafberger; Mohak Chadha; Anshul Jindal; Jianfeng Gu; Michael Gerndt (IEEE BigData, 2021)

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. - Stephan Patrick Baller; Anshul Jindal; Mohak Chadha; Michael Gerndt (IC2E, 2021)

Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing. - Anshul Jindal; Mohak Chadha; Michael Gerndt; Julian Frielinghaus; Vladimir Podolskiy; Pengfei Chen 002 (ICDCS, 2021)

Towards Demystifying Intra-Function Parallelism in Serverless Computing. - Michael Kiener; Mohak Chadha; Michael Gerndt (WOSC@Middleware, 2021)

Estimating the capacities of function-as-a-service functions. - Anshul Jindal; Mohak Chadha; Shajulin Benedict; Michael Gerndt (UCC Companion, 2021)

Courier: delivering serverless functions within heterogeneous FaaS deployments. - Anshul Jindal; Julian Frielinghaus; Mohak Chadha; Michael Gerndt (UCC, 2021)

Function delivery network: Extending serverless computing for heterogeneous platforms. - Anshul Jindal; Michael Gerndt; Mohak Chadha; Vladimir Podolskiy; Pengfei Chen 002 (Softw. Pract. Exp., 2021)

SLAM: SLO-Aware Memory Optimization for Serverless Applications. - Gor Safaryan; Anshul Jindal; Mohak Chadha; Michael Gerndt (CLOUD, 2022)

FedLesScan: Mitigating Stragglers in Serverless Federated Learning. - Mohamed Elzohairy; Mohak Chadha; Anshul Jindal; Andreas Grafberger; Jianfeng Gu; Michael Gerndt; Osama Abboud (IEEE Big Data, 2022)

Scalable Infrastructure for Workload Characterization of Cluster Traces. - Thomas van Loo; Anshul Jindal; Shajulin Benedict; Mohak Chadha; Michael Gerndt (CLOSER, 2022)

MAFF: Self-adaptive Memory Optimization for Serverless Functions. - Tetiana Zubko; Anshul Jindal; Mohak Chadha; Michael Gerndt (ESOCC, 2022)

FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters. - Christopher Peter Smith; Anshul Jindal; Mohak Chadha; Michael Gerndt; Shajulin Benedict (ICFEC, 2022)

Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes. - Christoph Reile; Mohak Chadha; Valentin Hauner; Anshul Jindal; Benjamin Hofmann; Michael Gerndt (SANER, 2022)

Migrating from microservices to serverless: an IoT platform case study. - Mohak Chadha; Victor Pacyna; Anshul Jindal; Jianfeng Gu; Michael Gerndt (WOSC@Middleware, 2022)

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes. - Markus Steinbach; Anshul Jindal; Mohak Chadha; Michael Gerndt; Shajulin Benedict (IEEE Access, 2022)

FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. - Jianfeng Gu; Yichao Zhu; Puxuan Wang; Mohak Chadha; Michael Gerndt (ICPP, 2023)

Exploring the Use of WebAssembly in HPC. - Mohak Chadha; Nils Krueger; Jophin John; Anshul Jindal; Michael Gerndt; Shajulin Benedict (PPoPP, 2023)

Sustainability in HPC: Vision and Opportunities. - Mohak Chadha; Eishi Arima; Amir Raoofy; Michael Gerndt; Martin Schulz 001 (SC Workshops, 2023)

GreenCourier: Carbon-Aware Scheduling for Serverless Functions. - Mohak Chadha; Thandayuthapani Subramanian; Eishi Arima; Michael Gerndt; Martin Schulz 001; Osama Abboud (WOSC@Middleware, 2023)

Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. - Mohak Chadha; Alexander Jensen; Jianfeng Gu; Osama Abboud; Michael Gerndt (CCGrid, 2024)

Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. - Mohak Chadha; Pulkit Khera; Jianfeng Gu; Osama Abboud; Michael Gerndt (SAC, 2024)

gFaaS: Enabling Generic Functions in Serverless Computing. - Mohak Chadha; Paul Wieland; Michael Gerndt (SANER, 2024)