Beehive: A Flexible Network Stack for Direct-Attached Accelerators

Direct-attached accelerators, where application accelerators are directly connected to the datacenter network via a hardware network stack, offer substantial benefits in terms of reduced latency, CPU overhead, and energy use. However, a key challenge is that modern datacenter network stacks are complex, with interleaved protocol layers, network management functions, and virtualization support. To operators, network feature agility, diagnostics, and manageability are often considered just as important as raw performance. By contrast, existing hardware network stacks only support basic protocols and are often difficult to extend since they use fixed processing pipelines. We propose Beehive, a new, open-source FPGA network stack for direct-attached accelerators designed to enable flexible and adaptive construction of complex network functionality in hardware. Application and network protocol elements are modularized as tiles over a network-on-chip substrate. Elements can be added or scaled up/down to match workload characteristics with minimal effort or changes to other elements. Flexible diagnostics and control are integral, with tooling to ensure deadlock safety. Our implementation interoperates with standard Linux TCP and UDP clients, with a 4x improvement in end-to-end RPC tail latency for Linux UDP clients versus a CPU-attached accelerator. Beehive is available at https://github:com/beehive-fpga/beehive

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/micro61859.2024.00037
Citations
1
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.66

Funders

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article

Beehive: A Flexible Network Stack for Direct-Attached Accelerators

Katie Lim, Jacob Nelson, Matthew Giordano, Theano Stavrinos et al.
1 citations
Particle Detector Development and Performance
0.66
article

Beehive: A Flexible Network Stack for Direct-Attached Accelerators

Katie Lim, Jacob Nelson, Matthew Giordano, Theano Stavrinos, Thomas E. Anderson, Irene Zhang, Baris Kasikci
article en
1 citations

Abstract

Direct-attached accelerators, where application accelerators are directly connected to the datacenter network via a hardware network stack, offer substantial benefits in terms of reduced latency, CPU overhead, and energy use. However, a key challenge is that modern datacenter network stacks are complex, with interleaved protocol layers, network management functions, and virtualization support. To operators, network feature agility, diagnostics, and manageability are often considered just as important as raw performance. By contrast, existing hardware network stacks only support basic protocols and are often difficult to extend since they use fixed processing pipelines. We propose Beehive, a new, open-source FPGA network stack for direct-attached accelerators designed to enable flexible and adaptive construction of complex network functionality in hardware. Application and network protocol elements are modularized as tiles over a network-on-chip substrate. Elements can be added or scaled up/down to match workload characteristics with minimal effort or changes to other elements. Flexible diagnostics and control are integral, with tooling to ensure deadlock safety. Our implementation interoperates with standard Linux TCP and UDP clients, with a 4x improvement in end-to-end RPC tail latency for Linux UDP clients versus a CPU-attached accelerator. Beehive is available at https://github:com/beehive-fpga/beehive

Microsoft (United States) (US), University of Washington (US), University of Washington Applied Physics Laboratory (US), Microsoft Research (United Kingdom) (GB)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 14%
Particle Detector Development and Performance
0.66
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Beehive: A Flexible Network Stack for Direct-Attached Accelerators — Katie Lim, Jacob Nelson, et al. · (2024) | TGRS Research Map | TGRS