MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems
for Machine Learning

MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems for Machine Learning

23 July 2022

Baolin Li

Devesh Tiwari

Papers citing "MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant Systems for Machine Learning"

9 / 9 papers shown

Title
LithOS: An Operating System for Efficient Machine Learning on GPUs Patrick H. Coppock Brian Zhang Eliot H. Solomon Vasilis Kypriotis Leon Yang Bikash Sharma Dan Schatzberg Todd C. Mowry Dimitrios Skarlatos 40 0 0 21 Apr 2025
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach Urvij Saroliya Eishi Arima Dai Liu Martin Schulz 46 1 0 14 May 2024
Fair Resource Allocation in Virtualized O-RAN Platforms Fatih Aslan Georgios Iosifidis J. Ayala-Romero A. Garcia-Saavedra Xavier Costa Pérez 30 9 0 17 Feb 2024
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service Baolin Li S. Samsi V. Gadepally Devesh Tiwari 28 27 0 19 Apr 2023
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources Baolin Li S. Samsi V. Gadepally Devesh Tiwari 30 11 0 12 Oct 2022
An Analysis of Collocation on GPUs for Deep Learning Training Ties Robroek Ehsan Yousefzadeh-Asl-Miandoab Pınar Tözün 22 9 0 13 Sep 2022
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers K. Ranganath Joshua D. Suetterlein Joseph Manzano Shuaiwen Leon Song Daniel Wong 23 15 0 07 Oct 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O Nikoli Dryden Roman Böhringer Tal Ben-Nun Torsten Hoefler 31 56 0 21 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,599 0 17 Apr 2017