EVeREST: An Effective and Versatile Runtime Energy Saving Tool for GPUs
Anna Yue, Pen-Chung Yew, Sanyam Mehta
2025年份
3被引次数
摘要
Amid conflicting demands for ever-improving performance and maximizing energy savings, it is important to have a tool that automatically identifies opportunities to save power/energy at runtime without compromising performance. GPUs in particular present challenges due to (1) reduced savings available from memory bound applications, and (2) limited availability of low overhead performance counters. Thus, a successful tool must address these issues while still tackling the challenges of dynamic application characterization, versatility across processors from different vendors, and effectiveness at making the right power-performance tradeoffs for desired energy savings.
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