Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm

Coarse-Grained Reconfigurable Arrays (CGRAs) balance the performance and power efficiency in computing systems. Effective compilers play a crucial role in fully realizing its potential. The compiler maps Data Flow Graphs (DFGs), which represent compute-intensive loop kernels, onto CGRAs. However, existing compilers often tackle DFG nodes individually, neglecting their intricate inter-dependencies. We introduce a novel mapping paradigm called Rewire that can place and route multiple nodes in one shot. Rewire first generates routing information that is shareable among multiple nodes via propagation. Then, Rewire intersects the routing information to generate individual placement candidates for each node. Finally, Rewire innovatively utilizes data dependencies as constraints to quickly find suitable placement for multiple nodes together. Our evaluation demonstrates that Rewire can generate more near-optimal mappings than prior works. Rewire achieves 2.1x and 1.3x performance improvement and 13.5x and 4.7x compilation time reduction, respectively, compared to two popular mappers.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11133240
Primary Topic
Geographic Information Systems Studies
Type
article
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article

Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm

Zhaoying Li, Tulika Mitra, Cheng Tan, Huize Li et al.
Geographic Information Systems Studies
article

Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm

Zhaoying Li, Tulika Mitra, Cheng Tan, Huize Li, Dhananjaya Wijerathne, Dan Wu, Dan Chen
article en

Abstract

Coarse-Grained Reconfigurable Arrays (CGRAs) balance the performance and power efficiency in computing systems. Effective compilers play a crucial role in fully realizing its potential. The compiler maps Data Flow Graphs (DFGs), which represent compute-intensive loop kernels, onto CGRAs. However, existing compilers often tackle DFG nodes individually, neglecting their intricate inter-dependencies. We introduce a novel mapping paradigm called Rewire that can place and route multiple nodes in one shot. Rewire first generates routing information that is shareable among multiple nodes via propagation. Then, Rewire intersects the routing information to generate individual placement candidates for each node. Finally, Rewire innovatively utilizes data dependencies as constraints to quickly find suitable placement for multiple nodes together. Our evaluation demonstrates that Rewire can generate more near-optimal mappings than prior works. Rewire achieves 2.1x and 1.3x performance improvement and 13.5x and 4.7x compilation time reduction, respectively, compared to two popular mappers.

University of Central Florida (US), Google (United States) (US), National University of Singapore (SG)
Openalex Percentile: Top 70%
Geographic Information Systems Studies
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Rewire: Advancing CGRA Mapping Through a Consolidated Routing Paradigm — Zhaoying Li, Tulika Mitra, et al. · (2025) | TGRS Research Map | TGRS