ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.04610
  4. Cited By
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning
  Applications

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

12 February 2019
Peifeng Yu
Mosharaf Chowdhury
ArXivPDFHTML

Papers citing "Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications"

10 / 10 papers shown
Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Legilimens: Performant Video Analytics on the System-on-Chip Edge
M. Ramanujam
Yinwei Dai
Kyle Jamieson
Ravi Netravali
83
0
0
29 Apr 2025
Communication-Efficient Large-Scale Distributed Deep Learning: A
  Comprehensive Survey
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
Xiping Hu
GNN
39
6
0
09 Apr 2024
Towards providing reliable job completion time predictions using PCS
Towards providing reliable job completion time predictions using PCS
Abdullah Bin Faisal
Noah Martin
Hafiz Mohsin Bashir
Swaminathan Lamelas
Fahad R. Dogar
22
0
0
18 Jan 2024
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO
  Guarantees via DNN Re-alignment
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment
Jing Wu
Lin Wang
Qirui Jin
Fangming Liu
33
11
0
17 Dec 2023
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model
  Swapping
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping
Minchen Yu
Ao Wang
Dong-dong Chen
Haoxuan Yu
Xiaonan Luo
Zhuohao Li
Wei Wang
Ruichuan Chen
Dapeng Nie
Haoran Yang
21
12
0
06 Jun 2023
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep
  Learning Clusters
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters
Yihao Zhao
Xin Liu
Shufan Liu
Xiang Li
Yibo Zhu
Gang Huang
Xuanzhe Liu
Xin Jin
35
11
0
24 Mar 2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and
  Inference Workloads on Multi-Instance GPUs
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
Huaizheng Zhang
Yuanming Li
Wencong Xiao
Yizheng Huang
Xing Di
Jianxiong Yin
Simon See
Yong Luo
C. Lau
Yang You
VLM
31
3
0
01 Jan 2023
A Study on the Intersection of GPU Utilization and CNN Inference
A Study on the Intersection of GPU Utilization and CNN Inference
J. Kosaian
Amar Phanishayee
25
3
0
15 Dec 2022
Speculative Container Scheduling for Deep Learning Applications in a
  Kubernetes Cluster
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster
Ying Mao
Yuqi Fu
Wenjia Zheng
Long Cheng
Qingzhi Liu
Dingwen Tao
21
29
0
21 Oct 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,180
0
16 Sep 2016
1