HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems

6 December 2023

Papers citing "HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems"

5 / 5 papers shown

Title
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge S. Zobaed Ali Mokhtari J. Champati M. Kourouma M. Salehi 31 9 0 14 Nov 2022
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems Ali Mokhtari Md. Abir Hossen Pooyan Jamshidi M. Salehi 39 9 0 31 May 2022
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads Deepak Narayanan Keshav Santhanam Fiodar Kazhamiaka Amar Phanishayee Matei A. Zaharia 43 208 0 20 Aug 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 219 5,767 0 20 Jun 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 188 7,465 0 02 Oct 2019