Abstract
Datacenter servers are increasingly heterogeneous: from x86 host CPUs, to ARM or RISC-V CPUs in NICs/SSDs, to FPGAs. Previous works have demonstrated that migrating application execution at run-time across heterogeneous-ISA CPUs can yield significant performance and energy gains, with relatively little programmer effort. However, FPGAs have often been overlooked in that context: hardware acceleration using FPGAs involves statically implementing select application functions, which prohibits dynamic and transparent migration. We present Xar-Trek, a new compiler and run-time software framework that overcomes this limitation. Xar-Trek compiles an application for several CPU ISAs and select application functions for acceleration on an FPGA, allowing execution migration between heterogeneous-ISA CPUs and FPGAs at run-time. Xar-Trek's run-time monitors server workloads and migrates application functions to an FPGA or to heterogeneous-ISA CPUs based on a scheduling policy. We develop a heuristic policy that uses application workload profiles to make scheduling decisions. Our evaluations conducted on a system with x86-64 server CPUs, ARM64 server CPUs, and an Alveo accelerator card reveal 88%-l% performance gains over no-migration baselines.
Original language | English |
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Title of host publication | Proceedings of the 22nd International Middleware Conference |
Place of Publication | New York, NY, USA |
Publisher | ACM Association for Computing Machinery |
Pages | 104–118 |
Number of pages | 15 |
ISBN (Electronic) | 9781450385343 |
DOIs | |
Publication status | Published - 6 Dec 2021 |
Event | 22nd International Middleware Conference 2021 - Virtual Conference Duration: 6 Dec 2021 → 10 Dec 2021 Conference number: 22 https://middleware-conf.github.io/2021/ |
Conference
Conference | 22nd International Middleware Conference 2021 |
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Period | 6/12/21 → 10/12/21 |
Internet address |
Keywords
- execution migration
- heterogeneous-ISA
- datacenters
- FPGAs
- hardware accelerator
- reconfigurable computing