Jing Chen

DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes

DEFT is presented, an energy-aware scheduling framework that jointly optimizes task-to-device assignment and per-GPU DVFS configuration for task-based multi-GPU applications and employs a cost-model–driven strategy that integrates slack awareness, throughput awareness, and explicit modeling of task execution cost, inter-GPU data movement, and DVFS transition overheads, enabling coordinated placement and frequency decisions under dynamic runtime conditions.