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- research-articleJune 2022
Optimizing data reshaping operations in functional IRs for high-level synthesis
LCTES 2022: Proceedings of the 23rd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded SystemsPages 61–72https://doi.org/10.1145/3519941.3535069FPGAs (Field Programmable Gate Arrays) have become the substrate of choice to implement accelerators. They deliver high performance with low power consumption, while offering the flexibility of being re-programmable. But they are notoriously hard to ...
- research-articleJanuary 2022
Memory-Aware Functional IR for Higher-Level Synthesis of Accelerators
ACM Transactions on Architecture and Code Optimization (TACO), Volume 19, Issue 2Article No.: 16, Pages 1–26https://doi.org/10.1145/3501768Specialized accelerators deliver orders of a magnitude of higher performance than general-purpose processors. The ever-changing nature of modern workloads is pushing the adoption of Field Programmable Gate Arrays (FPGAs) as the substrate of choice. ...