Machine learning at the network edge for automated home intrusion monitoring. - Aditya Dhakal; K. K. Ramakrishnan (ICNP, 2017)

NetML: An NFV Platform with Efficient Support for Machine Learning Applications. - Aditya Dhakal; K. K. Ramakrishnan (NetSoft, 2019)

GSLICE: controlled spatial sharing of GPUs for a scalable inference platform. - Aditya Dhakal; Sameer G. Kulkarni; K. K. Ramakrishnan (SoCC, 2020)

ECML: Improving Efficiency of Machine Learning in Edge Clouds. - Aditya Dhakal; Sameer G. Kulkarni; K. K. Ramakrishnan (CloudNet, 2020)

Machine Learning at the Edge: Efficient Utilization of Limited CPU/GPU Resources by Multiplexing. - Aditya Dhakal; Sameer G. Kulkarni; K. K. Ramakrishnan (ICNP, 2020)

Spatial Sharing of GPU for Autotuning DNN models. - Aditya Dhakal; Junguk Cho; Sameer G. Kulkarni; K. K. Ramakrishnan; Puneet Sharma (CoRR, 2020)

Primitives Enhancing GPU Runtime Support for Improved DNN Performance. - Aditya Dhakal; Sameer G. Kulkarni; K. K. Ramakrishnan (CLOUD, 2021)

SLAM-share: visual simultaneous localization and mapping for real-time multi-user augmented reality. - Aditya Dhakal; Xukan Ran; Yunshu Wang; Jiasi Chen; K. K. Ramakrishnan (CoNEXT, 2022)

Slice-Tune: a system for high performance DNN autotuning. - Aditya Dhakal; K. K. Ramakrishnan; Sameer G. Kulkarni; Puneet Sharma; Junguk Cho (Middleware, 2022)

Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling. - Gourav Rattihalli; Ninad Hogade; Aditya Dhakal; Eitan Frachtenberg; Rolando P. Hong Enriquez; Pedro Bruel; Alok Mishra 002; Dejan S. Milojicic (CLOUD, 2023)

Kernel-as-a-Service: A Serverless Programming Model for Heterogeneous Hardware Accelerators. - Tobias Pfandzelter; Aditya Dhakal; Eitan Frachtenberg; Sai Rahul Chalamalasetti; Darel Emmot; Ninad Hogade; Rolando Pablo Hong Enriquez; Gourav Rattihalli; David Bermbach; Dejan S. Milojicic (Middleware, 2023)

Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. - Aditya Dhakal; Philipp Raith; Logan T. Ward; Rolando P. Hong Enriquez; Gourav Rattihalli; Kyle Chard; Ian T. Foster; Dejan S. Milojicic (SC Workshops, 2023)

Networked Architectures for Localization-Based Multi-User Augmented Reality. - Jiasi Chen; K. K. Ramakrishnan; Aditya Dhakal; Xukan Ran (IEEE Commun. Mag., 2023)

Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks. - Philipp Raith; Gourav Rattihalli; Aditya Dhakal; Sai Rahul Chalamalasetti; Dejan S. Milojicic; Eitan Frachtenberg; Stefan Nastic; Schahram Dustdar (CCGrid, 2024)

Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. - Kaiwen Cao; Archit Gajjar; Liad Gerstman; Kun Wu 002; Sai Rahul Chalamalasetti; Aditya Dhakal; Giacomo Pedretti; Pavana Prakash; Wen-Mei Hwu; Deming Chen; Dejan S. Milojicic (SC Workshops, 2024)

DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection. - Ebad Taheri; Pedro Bruel; Pavana Prakash; Gourav Rattihalli; Ninad Hogade; Aditya Dhakal; Rolando P. Hong Enriquez; Torsten Wilde; Leo Popokh; Dejan S. Milojicic; Cullen E. Bash (SC Workshops, 2024)

Conspirator: SmartNIC-Aided Control Plane for Distributed ML Workloads. - Yunming Xiao; Diman Zad Tootaghaj; Aditya Dhakal; Lianjie Cao; Puneet Sharma; Aleksandar Kuzmanovic (USENIX ATC, 2024)

D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs. - Aditya Dhakal; Sameer G. Kulkarni; K. K. Ramakrishnan (IEEE Trans. Cloud Comput., 2024)

Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows. - Pedro Bruel; Sai Rahul Chalamalasetti; Aditya Dhakal; Eitan Frachtenberg; Ninad Hogade; Rolando Pablo Hong Enriquez; Alok Mishra 002; Dejan S. Milojicic; Pavana Prakash; Gourav Rattihalli (Computer, 2024)

Quantum optimization algorithms: Energetic implications. - Rolando P. Hong Enriquez; Rosa M. Badia; Barbara M. Chapman; Kirk Bresniker; Scott Pakin; Alok Mishra 002; Pedro Bruel; Aditya Dhakal; Gourav Rattihalli; Ninad Hogade; Eitan Frachtenberg; Dejan S. Milojicic (Concurr. Comput. Pract. Exp., 2024)

Serverless Graph Analytics on Multi-Instance GPU. - Mohammad Sonji; Mohammed Baydoun; Aditya Dhakal; Gourav Rattihalli; Dejan S. Milojicic; Izzat El Hajj (IPDPS (Workshops), 2025)