Heterogeneous Hardware Support for Apiary

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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Weckwerth, Nathan

Advisor dc:contributor.advisor

• Stonebraker, Michael

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/144878

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/144878