Enhancing High-Level Synthesis Using a Meta-Programming Approach

In today's increasingly heterogeneous compute landscape, there is high demand for design tools that offer seemingly contradictory features: portable programming abstractions hide underlying architectural detail, and the capability to optimise exploit features. Our meta-programming approach, Artisan, decouples application functionality from optimisation concerns address complexity of mapping high-level descriptions onto platforms which they are abstracted. With experts focus on algorithmic behaviour, while platform domain mapping. Artisan offers complete design-flow orchestration in a unified environment based Python 3 enable accessible codification reusable strategies can be automatically applied descriptions. We have developed evaluated an prototype set customised meta-programs used six case study applications CPU+FPGA targets. our experiments, Artisan-optimised designs achieve same order magnitude speedup as manually optimised compared corresponding unoptimised software.