Heterogeneous Hardware Support for Apiary
Name
Weckwerth-nweck-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
1.07 MB
Format
Adobe PDF
Checksum (MD5)
03ceae5eac5bb0c0b09856e78740edd2
Author(s)
Weckwerth, Nathan
Advisor(s)
Stonebraker, Michael
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
Function-as-a-Service (FaaS) platforms are an appealing option for developers because they save time and money by eliminating the work spent managing application servers. Apiary is a novel FaaS platform which performs extremely well on datacentric tasks by tightly integrating computation and storage layers, eliminating the time spent transferring data between the two. Moreover, Apiary’s robust provenance system and straightforward programming model provide compelling reasons for developers to use it for both data-centric and compute-intensive tasks. In this paper, we detail a general architecture for using Apiary’s asynchronous programming model to implement compute-intensive tasks as external services. These external services are free to make usage of specialized hardware such as GPUs, which provide extremely good performance for many typical compute-intensive tasks such as machine learning inference.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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