2026-09-18T21:47:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1448782022-08-30T03:01:09Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stonebraker, Michael
Weckwerth, Nathan
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2022-08-29T16:18:01Z
2022-08-29T16:18:01Z
2022-05
2022-05-27T16:19:39.913Z
https://hdl.handle.net/1721.1/144878
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.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Heterogeneous Hardware Support for Apiary
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<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.</Abstract>
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