HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning

Name: HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning
Uploaded: 2026-09-07T03:34:36.323611+00:00
Duration: 434 s
Description: The episode discusses HLS-Seek, a system that uses Reinforcement Learning to bridge the gap between writing software code and achieving optimal hardware performance. The AI model is trained using a Proxy Comparative Reward, allowing it to generate code optimized for specific physical metrics like latency or area utilization on specialized silicon.

The episode discusses HLS-Seek, a system that uses Reinforcement Learning to bridge the gap between writing software code and achieving optimal hardware performance. The AI model is trained using a Proxy Comparative Reward, allowing it to generate code optimized for specific physical metrics like latency or area utilization on specialized silicon.

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