An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration

The generation of custom hardware accelerators for applications implemented within high-level productive programming frameworks requires considerable manual effort. To automate this process, we introduce SODA-OPT, a compiler tool that extends the MLIR infrastructure. SODA-OPT automatically searches,...

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Bibliographic Details

Published in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) pp. 1 - 9
Main Authors:	Agostini, Nicolas Bohm, Curzel, Serena, Amatya, Vinay, Tan, Cheng, Minutoli, Marco, Castellana, Vito Giovanni, Manzano, Joseph, Kaeli, David, Tumeo, Antonino
Format:	Conference Proceeding
Language:	English
Published:	ACM 29.10.2022
Subjects:	Benchmark testing Compilers Deep learning High-Level Optimizations HLS Kernel MLIR Neural networks Performance evaluation Program processors Programming
ISSN:	1558-2434
Online Access:	Get full text
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