Nimblock 2.0: Serverless computing with multi-tenant FPGAS

Mandava, Meghna

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https://hdl.handle.net/2142/120445 Copy

Description

Title

Nimblock 2.0: Serverless computing with multi-tenant FPGAS

Author(s)

Mandava, Meghna

Issue Date

2023-05-01

Director of Research (if dissertation) or Advisor (if thesis)

Chen, Deming

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• FPGA
• Serverless Computing
• Reconfigurable Computing
• Heterogeneous Cloud

Abstract

Serverless computing has gained significant popularity in recent years, especially in cloud computing environments. Although Field-Programmable Gate Arrays (FPGAs) have become increasingly common in cloud computing environments, there has been limited research into how FPGAs can be integrated into serverless computing frameworks to further improve performance and cost-efficiency. We propose Nimblock 2.0 as a means of integrating FPGAs into serverless platforms, enabling developers to leverage the speed and versatility of FPGAs to build and execute high-performance, customizable applications easily. Our evaluation of the Nimblock 2.0 heterogeneous serverless computing model shows that running FPGA workloads in a serverless environment results in an average overhead of only 13%. Allocating requests to both CPU and FPGA compute resources can provide up to a 12% performance improvement. The ability to allocate requests to different resource types can provide significant performance improvements, while considering workload characteristics and priority can further optimize performance. Nimblock 2.0 can enable the efficient use of FPGAs in serverless computing, enabling support for frameworks such as Library-as-a-Service.

Graduation Semester

2023-05

Type of Resource

Thesis

Handle URL

https://hdl.handle.net/2142/120445

Copyright and License Information

Copyright 2023 Meghna Mandava

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