20 citations · 54 across the 15 of their papers we have counts for
16 papers
Partition-Aware Scheduling for Mobile Heterogeneous Inference Co-Execution
Zhuojin Li, Marco Paolieri, Leana Golubchik
Modern mobile inference runs on heterogeneous platforms combining mobile GPUs with multiple CPU core clusters. Existing optimizations typically exploit either inter-operator parall…
Efficient Algorithms for Interdicting Facilities in Trees and Bounded Treewidth Graphs
Ali Abbasi, Eli Friedman, Leana Golubchik +2
Given a graph of nodes partitioned into facilities and customers, the -edge interdiction covering problem (REIC) is to remove up to edges so as to maximize the total…
A Study on Inference Latency for Vision Transformers on Mobile Devices
Zhuojin Li, Marco Paolieri, Leana Golubchik
Given the significant advances in machine learning techniques on mobile devices, particularly in the domain of computer vision, in this work we quantitatively study the performance…
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
Zhuojin Li, Marco Paolieri, Leana Golubchik
Deploying deep neural networks on mobile devices is increasingly important but remains challenging due to limited computing resources. On the other hand, their unified memory archi…
Estimating Ground Reaction Forces from Inertial Sensors
Bowen Song, Marco Paolieri, Harper E. Stewart +4
Objective: Our aim is to determine if data collected with inertial measurement units (IMUs) during steady-state running could be used to estimate ground reaction forces (GRFs) and…
Queue Scheduling with Adversarial Bandit Learning
Jiatai Huang, Leana Golubchik, Longbo Huang
In this paper, we study scheduling of a queueing system with zero knowledge of instantaneous network conditions. We consider a one-hop single-server queueing system consisting of $…