PLD: fast FPGA compilation to make reconfigurable acceleration compatible with modern incremental refinement software development
Yuanlong Xiao, Eric Micallef, Andrew Butt, Matthew Hofmann, Marc Alston, Matthew Goldsmith, Andrew Merczynski-Hait, André DeHon
摘要
FPGA-based accelerators are demonstrating significant absolute performance and energy efficiency compared with general-purpose CPUs. While FPGA computations can now be described in standard, programming languages, like C, development for FPGAs accelerators remains tedious and inaccessible to modern software engineers. Slow compiles (potentially taking tens of hours) inhibit the rapid, incremental refinement of designs that is the hallmark of modern software engineering. To address this issue, we introduce separate compilation and linkage into the FPGA design flow, providing faster design turns more familiar to software development. To realize this flow, we provide abstractions, compiler options, and compiler flow that allow the same C source code to be compiled to processor cores in seconds and to FPGA regions in minutes, providing the missing -O0 and -O1 options familiar in software development. This raises the FPGA programming level and standardizes the programming experience, bringing FPGA-based accelerators into a more familiar software platform ecosystem for software engineers.
• Hardware → Reconfigurable logic and FPGAs; • Software and its engineering → Development frameworks and environments.
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引用它的顶会 Paper2
- OverGen: Improving FPGA Usability through Domain-specific Overlay GenerationSihao Liu, Jian Weng, Dylan Kupsh, Atefeh Sohrabizadeh 等MICRO 2022 · 被引用 32 次
- Zoomie: A Software-like Debugging Tool for FPGAsTianrui Wei, Kevin Laeufer, Katie Lim, Jerry Zhao 等ASPLOS 2024 · 被引用 1 次
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- Virtualizing FPGAs in the CloudYue Zha, Jing LiASPLOS 2020 · 被引用 92 次
- Fleet: A Framework for Massively Parallel Streaming on FPGAsJames Thomas, Pat Hanrahan, Matei ZahariaASPLOS 2020 · 被引用 39 次
- When application-specific ISA meets FPGAs: a multi-layer virtualization framework for heterogeneous cloud FPGAsYue Zha, Jing LiASPLOS 2021 · 被引用 24 次
- Compiler-driven FPGA virtualization with SYNERGYJoshua Landgraf, Tiffany Yang, Will Lin, Christopher J. Rossbach 等ASPLOS 2021 · 被引用 22 次
- SOFF: An OpenCL High-Level Synthesis Framework for FPGAsGangwon Jo, Heehoon Kim, Jeesoo Lee, Jaejin LeeISCA 2020 · 被引用 20 次
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