Samuel S. Ogden

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Mobile Platform

Cpu Implementation

Efficient Inference

Top Venues

SIGMETRICS Perform. Evaluation Rev.

UbiComp/ISWC Adjunct

Publications

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) (2024)
Samuel S. Ogden, Tian Guo
Layercake: Efficient Inference Serving with Cloud and Mobile Resources. CCGrid (2023)
M. L. Tlachac, Samuel S. Ogden
Left on Read: Reply Latency for Anxiety & Depression Screening. UbiComp/ISWC Adjunct (2022)
Samuel S. Ogden, Xiangnan Kong, Tian Guo
PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference. ICPE (2021)
Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching. ACSOS (2021)
Samuel S. Ogden, Tian Guo
MDInference: Balancing Inference Accuracy and Latency for Mobile Applications. CoRR (2020)
Samuel S. Ogden, Tian Guo
MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications. IC2E (2020)
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) (2020)
Samuel S. Ogden, Tian Guo
CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling. CoRR (2019)
Samuel S. Ogden, Tian Guo
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference. CoRR (2019)
Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo
Challenges and Opportunities of DNN Model Execution Caching. DIDL@Middleware (2019)
Samuel S. Ogden, Tian Guo
Characterizing the Deep Neural Networks Inference Performance of Mobile Applications. CoRR (2019)
Tian Guo, Robert J. Walls, Samuel S. Ogden
EdgeServe: efficient deep learning model caching at the edge. SEC (2019)
Samuel S. Ogden, Tian Guo
MODI: Mobile Deep Inference Made Efficient by Edge Computing. HotEdge (2018)