| Gslice: controlled spatial sharing of gpus for a scalable inference platform A Dhakal, SG Kulkarni, KK Ramakrishnan Proceedings of the 11th ACM Symposium on Cloud Computing, 492-506, 2020 | 123 | 2020 |
| SLAM-share: visual simultaneous localization and mapping for real-time multi-user augmented reality A Dhakal, X Ran, Y Wang, J Chen, KK Ramakrishnan Proceedings of the 18th International Conference on emerging Networking …, 2022 | 24 | 2022 |
| Machine learning at the network edge for automated home intrusion monitoring A Dhakal, KK Ramakrishnan 2017 IEEE 25th International Conference on Network Protocols (ICNP), 1-6, 2017 | 19 | 2017 |
| Netml: An nfv platform with efficient support for machine learning applications A Dhakal, KK Ramakrishnan 2019 IEEE Conference on Network Softwarization (NetSoft), 396-404, 2019 | 16 | 2019 |
| ECML: Improving efficiency of machine learning in edge clouds A Dhakal, SG Kulkarni, KK Ramakrishnan 2020 IEEE 9th International Conference on Cloud Networking (CloudNet), 1-6, 2020 | 10 | 2020 |
| Fine-grained heterogeneous execution framework with energy aware scheduling G Rattihalli, N Hogade, A Dhakal, E Frachtenberg, RPH Enriquez, P Bruel, ... 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 35-44, 2023 | 9 | 2023 |
| Spatial Sharing of GPU for Autotuning DNN models A Dhakal, J Cho, SG Kulkarni, KK Ramakrishnan, P Sharma arXiv preprint arXiv:2008.03602, 2020 | 9 | 2020 |
| Predicting heterogeneity and serverless principles of converged high-performance computing, artificial intelligence, and workflows P Bruel, SR Chalamalasetti, A Dhakal, E Frachtenberg, N Hogade, ... Computer 57 (1), 136-144, 2024 | 5 | 2024 |
| Kernel-as-a-service: A serverless programming model for heterogeneous hardware accelerators T Pfandzelter, A Dhakal, E Frachtenberg, SR Chalamalasetti, D Emmot, ... Proceedings of the 24th International Middleware Conference, 192-206, 2023 | 4 | 2023 |
| Slice-tune: A system for high performance dnn autotuning A Dhakal, KK Ramakrishnan, SG Kulkarni, P Sharma, J Cho Proceedings of the 23rd ACM/IFIP International Middleware Conference, 228-240, 2022 | 4 | 2022 |
| Networked architectures for localization-based multi-user augmented reality J Chen, KK Ramakrishnan, A Dhakazl, X Ran IEEE Communications Magazine 61 (12), 104-110, 2023 | 3 | 2023 |
| Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform A Dhakal, P Raith, L Ward, RP Hong Enriquez, G Rattihalli, K Chard, ... Proceedings of the SC'23 Workshops of the International Conference on High …, 2023 | 3 | 2023 |
| Primitives enhancing gpu runtime support for improved dnn performance A Dhakal, SG Kulkarni, KK Ramakrishnan 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 53-64, 2021 | 3 | 2021 |
| D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs A Dhakal, SG Kulkarni, KK Ramakrishnan IEEE Transactions on Cloud Computing, 2024 | 2 | 2024 |
| Conspirator:{SmartNIC-Aided} Control Plane for Distributed {ML} Workloads Y Xiao, DZ Tootaghaj, A Dhakal, L Cao, P Sharma, A Kuzmanovic 2024 USENIX Annual Technical Conference (USENIX ATC 24), 767-784, 2024 | 1 | 2024 |
| Estimating energy-efficiency in quantum optimization algorithms RPH Enriquez, RM Badia, B Chapman, K Bresniker, A Dhakal, ... Cray User Group Conference Proceedings, 2023 | 1 | 2023 |
| DyTwin: Federated Adaptive Digital Twins for Data Centers–Visualization and Anomaly Detection E Taheri, P Bruel, P Prakash, G Rattihalli, N Hogade, A Dhakal, ... SC24-W: Workshops of the International Conference for High Performance …, 2024 | | 2024 |
| Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture K Cao, A Gajjar, L Gerstman, K Wu, SR Chalamalasetti, A Dhakal, ... SC24-W: Workshops of the International Conference for High Performance …, 2024 | | 2024 |
| Dynamic communication architecture for decentralized heterogenous accelerators DS Milojicic, K Cao, A Dhakal US Patent App. 18/309,203, 2024 | | 2024 |
| Automated program conversion for heterogeneous and faas computing with minimal human intervention DS Milojicic, A Dhakal, E Frachtenberg, NS Hogade, RPH Enriques, ... US Patent App. 18/308,570, 2024 | | 2024 |
K. K. RamakrishnanDistinguished Professor of Computer Science and Engineering, University of California, Riversidecs.ucr.edu의 이메일 확인됨