36 citations · 48 across the 6 of their papers we have counts for
6 papers
Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters
Zizhao Mo, Huanle Xu, Wing Cheong Lau
Ensuring the highest training throughput to maximize resource efficiency, while maintaining fairness among users, is critical for deep learning (DL) training in heterogeneous GPU c…
Online Job Scheduling with Redundancy and Opportunistic Checkpointing: A Speedup-Function-Based Analysis
Huanle Xu, Gustavo de Veciana, Wing Cheong Lau +1
In a large-scale computing cluster, the job completions can be substantially delayed due to two sources of variability, namely, variability in the job size and that in the machine…
Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications
Zhibo Yang, Huanle Xu, Jianyuan Deng +2
The use of color in QR codes brings extra data capacity, but also inflicts tremendous challenges on the decoding process due to chromatic distortion, cross-channel color interferen…
Similar Handwritten Chinese Character Discrimination by Weakly Supervised Learning
Zhibo Yang, Huanle Xu, Keda Fu +1
Traditional approaches for handwritten Chinese character recognition suffer in classifying similar characters. In this paper, we propose to discriminate similar handwritten Chinese…
Task-Cloning Algorithms in a MapReduce Cluster with Competitive Performance Bounds
Huanle Xu, Wing Cheong Lau
Job scheduling for a MapReduce cluster has been an active research topic in recent years. However, measurement traces from real-world production environment show that the duration…
Optimization for Speculative Execution of Multiple Jobs in a MapReduce-like Cluster
Huanle Xu, Wing Cheong Lau
Nowadays, a computing cluster in a typical data center can easily consist of hundreds of thousands of commodity servers, making component/ machine failures the norm rather than exc…