Context-aware Simopt-Power cuts FPGA dynamic power by 6.8%
Yosys-based framework recycles discarded simulation data for smarter optimizations.
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Deep Dive
Context-aware Simopt-Power, an open-source simulation-guided FPGA design optimization framework, combines switching-activity metadata from pre-implementation simulations with structural features like logic depth and fan-out to target high-impact netlist regions. On the Koios deep-learning benchmarks, it achieved an average 6.8% dynamic-power reduction with 11.2% LUT overhead, using a Yosys/ABC flow.
Key Points
- Pre-implementation simulation metadata is typically discarded; Simopt-Power reuses it for power optimization.
- Achieves average 6.8% dynamic-power reduction on Koios deep-learning accelerator benchmarks.
- Open-source implementation using Yosys/ABC flow; replaces fixed thresholds with architecture-aware parameters.
Why It Matters
Enables FPGA designers to cut power consumption with minimal area overhead using widely available simulation data.