Selected Publications
Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan Milojicic, Pavana Prakash, Gourav Rattihalli. "Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows", IEEE Computer 2024.
Tobias Pfandzelter, Aditya Dhakal, Eitan Frachtenberg, Sai Rahul Chalamalasetti, Darel Emmot, Ninad Hogade, Rolando Pablo Hong Enriquez, Gourav Rattihalli, David Bermbach, Dejan Milojicic. "Kernel-as-a-Service: A serverless programming model for heterogeneous hardware accelerators", Proceedings of the 24th International Middleware Conference (Middleware'23).
Aditya Dhakal, Philipp Raith, Logan Ward, Rolando P Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian Foster, Dejan Milojicic. "Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform", Proceedings of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC'23 Workshops).
Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando Pablo Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan Milojicic. "Fine-Grained Heterogeneous Execution Framework With Energy Aware Scheduling", IEEE 16th International Conference on Cloud Computing (CLOUD 2023).
Aditya Dhakal, Xukan Ran, Yunshu Wang, Jiasi Chen, and KK Ramakrishnan. "SLAM-Share: Visual Simultaneous Localization and Mapping for Real-Time Multi-User Augmented Reality", Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2022).
Aditya Dhakal, K. K. Ramakrishnan, Sameer G Kulkarni, Puneet Sharma, and Junguk Cho. "Slice-Tune: a System for High Performance DNN Autotuning", Proceedings of the 23rd ACM/IFIP International Middleware Conference (Middleware 2022).
Aditya Dhakal, Sameer G Kulkarni,, and K. K. Ramakrishnan. "Primitives Enhancing GPU Runtime Support for Improved DNN Performance", IEEE International Conference on Cloud Computing (CLOUD 2021). Awarded Special Paper Award
Aditya Dhakal, Sameer G Kulkarni, and K. K. Ramakrishnan. "GSLICE: Controlled Spatial Sharing of GPUs for a Scalable Inference Platform." Proceedings of the ACM Symposium on Cloud Computing (SOCC 2020).
Aditya Dhakal, Sameer G Kulkarni, and K. K. Ramakrishnan. "ECML: Improving Efficiency of Machine Learning in Edge Clouds." IEEE International Conference on Cloud Networking (CloudNet 2020). Awarded Best Student Paper Award
Aditya Dhakal, Sameer G Kulkarni, and K. K. Ramakrishnan. "Machine Learning at the Edge: Efficient Utilization of Limited CPU/GPU Resources by Multiplexing" AI towards Mission-Critical Communications and Computing at the Edge (AIMCOM2) workshop in ICNP 2020.
Aditya Dhakal, and K. K. Ramakrishnan. "NetML: An NFV Platform with Efficient Support for Machine Learning Applications." 2019 IEEE Conference on Network Softwarization (NetSoft 2019).
Aditya Dhakal, and K. K. Ramakrishnan. "Machine learning at the network edge for automated home intrusion monitoring." 2017, IEEE ICNP Workshop on Machine Learning and Artificial Intelligence in Computer Networks (ML&AI @ Network 2017).