Samuel S. Ogden

According to our database, Samuel S. Ogden authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening.

M. L. Tlachac, Michael Heinz, Miranda Reisch, Samuel S. Ogden

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

2023

Layercake: Efficient Inference Serving with Cloud and Mobile Resources.

Samuel S. Ogden, Tian Guo

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Left on Read: Reply Latency for Anxiety & Depression Screening.

M. L. Tlachac, Samuel S. Ogden

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021

PieSlicer: Dynamically Improving Response Time for Cloud-based CNN Inference.

Samuel S. Ogden, Xiangnan Kong, Tian Guo

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Many Models at the Edge: Scaling Deep Inference via Model-Level Caching.

Samuel S. Ogden, Guin Gilman, Robert J. Walls, Tian Guo

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

Demystifying the Placement Policies of the NVIDIA GPU Thread Block Scheduler for Concurrent Kernels.

Guin Gilman, Samuel S. Ogden, Tian Guo, Robert J. Walls

SIGMETRICS Perform. Evaluation Rev., 2020

MDINFERENCE: Balancing Inference Accuracy and Latency for Mobile Applications.

Samuel S. Ogden, Tian Guo

Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

2019

Characterizing the Deep Neural Networks Inference Performance of Mobile Applications.

Samuel S. Ogden, Tian Guo

CoRR, 2019

ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference.

Samuel S. Ogden, Tian Guo

CoRR, 2019

CloudCoaster: Transient-aware Bursty DatacenterWorkload Scheduling.

Samuel S. Ogden, Tian Guo

CoRR, 2019

Challenges and Opportunities of DNN Model Execution Caching.

Guin Gilman, Samuel S. Ogden, Robert J. Walls, Tian Guo

Proceedings of the DIDL '19: Proceedings of the Workshop on Distributed Infrastructures for Deep Learning, 2019

EdgeServe: efficient deep learning model caching at the edge.

Tian Guo, Robert J. Walls, Samuel S. Ogden

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018

MODI: Mobile Deep Inference Made Efficient by Edge Computing.

Samuel S. Ogden, Tian Guo

Proceedings of the USENIX Workshop on Hot Topics in Edge Computing, 2018