DaCe - Data Centric Parallel Programming

593 stars 163 forks 593 watchers Python BSD 3-Clause "New" or "Revised" License
cuda fpga high-level-synthesis high-performance-computing programming-language vivado-hls
5 Open Issues Need Help Last updated: Sep 14, 2026

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DaCe - Data Centric Parallel Programming

Python
#cuda#fpga#high-level-synthesis#high-performance-computing#programming-language#vivado-hls

DaCe - Data Centric Parallel Programming

Python
#cuda#fpga#high-level-synthesis#high-performance-computing#programming-language#vivado-hls
good first issue

DaCe - Data Centric Parallel Programming

Python
#cuda#fpga#high-level-synthesis#high-performance-computing#programming-language#vivado-hls
enhancement help wanted codegen frontend

DaCe - Data Centric Parallel Programming

Python
#cuda#fpga#high-level-synthesis#high-performance-computing#programming-language#vivado-hls

AI Summary: Implement a simpler interface for expanding library nodes in the DaCe parallel programming framework. This involves creating two new methods: one within the `LibraryNode` class to handle expansion with fewer parameters, and another within the `SDFGState` class to manage the expansion process. The task also requires writing unit tests for the new API.

Complexity: 4/5
enhancement good first issue

DaCe - Data Centric Parallel Programming

Python
#cuda#fpga#high-level-synthesis#high-performance-computing#programming-language#vivado-hls