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2020 – today
- 2024
[j2]M. L. Tlachac
, Michael Heinz, Miranda Reisch, Samuel S. Ogden:
Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 19:1-19:28 (2024)- 2023
- [c8]Samuel S. Ogden, Tian Guo:
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. CCGrid 2023: 191-202 - 2022
- [c7]M. L. Tlachac, Samuel S. Ogden:
Left on Read: Reply Latency for Anxiety & Depression Screening. UbiComp/ISWC Adjunct 2022: 500-502 - 2021
- [c6]Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo:
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching. ACSOS 2021: 51-60 - [c5]Samuel S. Ogden, Xiangnan Kong, Tian Guo:
PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference. ICPE 2021: 249-256 - 2020
- [j1]Guin Gilman, Samuel S. Ogden, Tian Guo, Robert J. Walls:
Demystifying the Placement Policies of the NVIDIA GPU Thread Block Scheduler for Concurrent Kernels. SIGMETRICS Perform. Evaluation Rev. 48(3): 81-88 (2020) - [c4]Samuel S. Ogden, Tian Guo:
MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications. IC2E 2020: 28-39 - [i4]Samuel S. Ogden, Tian Guo:
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications. CoRR abs/2002.06603 (2020)
2010 – 2019
- 2019
- [c3]Tian Guo, Robert J. Walls, Samuel S. Ogden:
EdgeServe: efficient deep learning model caching at the edge. SEC 2019: 313-315 - [c2]Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo:
Challenges and Opportunities of DNN Model Execution Caching. DIDL@Middleware 2019: 7-12 - [i3]Samuel S. Ogden, Tian Guo:
CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling. CoRR abs/1907.02162 (2019) - [i2]Samuel S. Ogden, Tian Guo:
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference. CoRR abs/1909.02053 (2019) - [i1]Samuel S. Ogden, Tian Guo:
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications. CoRR abs/1909.04783 (2019) - 2018
- [c1]Samuel S. Ogden, Tian Guo:
MODI: Mobile Deep Inference Made Efficient by Edge Computing. HotEdge 2018
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last updated on 2024-10-07 21:25 CEST by the dblp team
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