activity
20202025
most citedDeep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

22 citations · 28 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2025

A Heuristic Algorithm for Shortest Path Search

Huashan Yu, Xiaolin Wang, Yingwei Luo

The Single-Source Shortest Path (SSSP) problem is well-known for the challenges in developing fast, practical, and work-efficient parallel algorithms. This work introduces a novel…

cs.DC2024★ 6 cited

Characterization of Large Language Model Development in the Datacenter

Qinghao Hu, Zhisheng Ye, Zerui Wang +9

Large Language Models (LLMs) have presented impressive performance across several transformative tasks. However, it is non-trivial to efficiently utilize large-scale cluster resour…

cs.OS2023

FHPM: Fine-grained Huge Page Management For Virtualization

Chuandong Li, Sai Sha, Yangqing Zeng +4

As more data-intensive tasks with large footprints are deployed in virtual machines (VMs), huge pages are widely used to eliminate the increasing address translation overhead. Howe…

cs.OS2022

HMM-V: Heterogeneous Memory Management for Virtualization

Sai sha, Chuandong Li, Yingwei Luo +2

The memory demand of virtual machines (VMs) is increasing, while DRAM has limited capacity and high power consumption. Non-volatile memory (NVM) is an alternative to DRAM, but it h…

cs.DC2022★ 22 cited

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Wei Gao, Qinghao Hu, Zhisheng Ye +5

Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accele…

cs.LG2020

GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection

Yixin Guo, Pengcheng Li, Yingwei Luo +2

Production software oftentimes suffers from the issue of performance inefficiencies caused by inappropriate use of data structures, programming abstractions, and conservative compi…