EDA Job Scheduling Using Reinforcement Learning with Adaptive Macro Actions
Job scheduling in Electronic Design Automation (EDA) environments presents unique challenges due to high-frequency job submissions, short job durations, and strict latency requirements. Production schedulers such as IBM Spectrum LSF employ robust heuristics like First-Come-First-Served (FCFS) that provide predictable b...