5 papers
E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems
Ali Mokhtari, Drake Rawls, Tony Huynh +2
With the increasing popularity of accelerator technologies (e.g., GPUs and TPUs) and the emergence of domain-specific computing via ASICs and FPGA, the matter of heterogeneity and…
E2C: A Visual Simulator for Heterogeneous Computing Systems
Ali Mokhtari, Mohsen Amini Salehi
Heterogeneity has been an indispensable aspect of distributed computing throughout the history of these systems. In particular, with the increasing prevalence of accelerator techno…
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge
SM Zobaed, Ali Mokhtari, Jaya Prakash Champati +2
Smart IoT-based systems often desire continuous execution of multiple latency-sensitive Deep Learning (DL) applications. The edge servers serve as the cornerstone of such IoT-based…
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems
Ali Mokhtari, Md Abir Hossen, Pooyan Jamshidi +1
Edge computing enables smart IoT-based systems via concurrent and continuous execution of latency-sensitive machine learning (ML) applications. These edge-based machine learning sy…
Autonomous Task Dropping Mechanism to Achieve Robustness in Heterogeneous Computing Systems
Ali Mokhtari, Chavit Denninnart, Mohsen Amini Salehi
Robustness of a distributed computing system is defined as the ability to maintain its performance in the presence of uncertain parameters. Uncertainty is a key problem in heteroge…