2 citations · 5 across the 6 of their papers we have counts for
6 papers
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo +4
Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Collaborative end-edge-cloud computing for dee…
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri +5
Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Deploying deep-learning-based intelligence nea…
MARS: Middleware for Adaptive Reflective Computer Systems
Tiago Mück, Bryan Donyanavard, Biswadip Maity +2
Self-adaptive approaches for runtime resource management of manycore computing platforms often require a runtime model of the system that represents the software organization or th…
AXES: Approximation Manager for Emerging Memory Architectures
Biswadip Maity, Bryan Donyanavard, Anmol Surhonne +3
Memory approximation techniques are commonly limited in scope, targeting individual levels of the memory hierarchy. Existing approximation techniques for a full memory hierarchy de…
Intelligent Management of Mobile Systems through Computational Self-Awareness
Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch +2
Runtime resource management for many-core systems is increasingly complex. The complexity can be due to diverse workload characteristics with conflicting demands, or limited shared…
The Information Processing Factory: Organization, Terminology, and Definitions
Eberle A. Rambo, Bryan Donyanavard, Minjun Seo +9
The Information Processing Factory (IPF) project has recently introduced the abstraction of complex architectures as self-aware information processing factories. These factories co…