Aditya Dhakal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2017–2025
Best venue rank
A
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | WAGES: Workload-Aware GPU Sharing System for Energy-Efficient Serverless LLM Serving. | Tianyu Wang, Gourav Rattihalli, Aditya Dhakal, Xulong Tang, Dejan S. Milojicic |
| 2025 | SC | An RDMA-First Object Storage System with SmartNIC Offload. | Yu Zhu, Aditya Dhakal, Pedro Bruel, Gourav Rattihalli, Yunming Xiao, Johann Lombardi, Dejan S. Milojicic |
| 2024 | CCGRID | 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 |
| 2024 | SC | Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. | Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-Mei Hwu, Deming Chen, Dejan S. Milojicic |
| 2024 | SC | 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 |
| 2024 | USENIX | Conspirator: SmartNIC-Aided Control Plane for Distributed ML Workloads. | Yunming Xiao, Diman Zad Tootaghaj, Aditya Dhakal, Lianjie Cao, Puneet Sharma, Aleksandar Kuzmanovic |
| 2023 | Middleware | 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 |
| 2023 | SC | 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 |
| 2022 | CoNEXT | 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 |
| 2022 | Middleware | Slice-Tune: a system for high performance DNN autotuning. | Aditya Dhakal, K. K. Ramakrishnan, Sameer G. Kulkarni, Puneet Sharma, Junguk Cho |
| 2020 | CLOUD | GSLICE: controlled spatial sharing of GPUs for a scalable inference platform. | Aditya Dhakal, Sameer G. Kulkarni, K. K. Ramakrishnan |
| 2020 | ICNP | Machine Learning at the Edge: Efficient Utilization of Limited CPU/GPU Resources by Multiplexing. | Aditya Dhakal, Sameer G. Kulkarni, K. K. Ramakrishnan |
| 2019 | NetSoft | NetML: An NFV Platform with Efficient Support for Machine Learning Applications. | Aditya Dhakal, K. K. Ramakrishnan |
| 2017 | ICNP | Machine learning at the network edge for automated home intrusion monitoring. | Aditya Dhakal, K. K. Ramakrishnan |