(2020) Type-Directed Scheduling of Streaming Accelerators.
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Abstract
Designing efficient, application-specialized hardware accelerators requires assessing trade-offs between a hardware module’s performance and resource requirements. To facilitate hardware design space exploration, we describe Aetherling, a system for automatically compiling data-parallel programs into statically scheduled, streaming hardware circuits. Aetherling contributes a space- and time-aware intermediate language featuring data-parallel operators that represent parallel or sequential hardware modules, and sequence data types that encode a module’s throughput by specifying when sequence elements are produced or consumed. As a result, well-typed operator composition in the space-time language corresponds to connecting hardware modules via statically scheduled, streaming interfaces. We provide rules for transforming programs written in a standard data-parallel language (that carries no information about hardware implementation) into equivalent space-time language programs. We then provide a scheduling algorithm that searches over the space of transformations to quickly generate area-efficient hardware designs that achieve a programmer-specified throughput. Using benchmarks from the image processing domain, we demonstrate that Aetherling enables rapid exploration of hardware designs with different throughput and area characteristics, and yields results that require 1.8-7.9× fewer FPGA slices than those of prior hardware generation systems.
| Item Type: | Conference or Workshop Item (A Paper) (Paper) |
|---|---|
| Uncontrolled Keywords: | image processing, space-time types, hardware description languages, FPGAs, scheduling |
| Conference: | PLDI ACM-SIGPLAN Conference on Programming Language Design and Implementation |
| Depositing User: | Marco Patrignani |
| Date Deposited: | 14 Dec 2020 09:42 |
| Last Modified: | 13 Oct 2022 08:29 |
| Primary Research Area: | NRA1: Trustworthy Information Processing |
| URI: | https://publications.cispa.saarland/id/eprint/3333 |
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