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Zhu et al., 2019 - Google Patents

Kelp: Qos for accelerated machine learning systems

Zhu et al., 2019

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Document ID
15418716861471748353
Author
Zhu H
Lo D
Cheng L
Govindaraju R
Ranganathan P
Erez M
Publication year
Publication venue
2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)

External Links

Snippet

Development and deployment of machine learning (ML) accelerators in Warehouse Scale Computers (WSCs) demand significant capital investments and engineering efforts. However, even though heavy computation can be offloaded to the accelerators, applications …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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