Energy Proportional Computing With Heterogeneous and Reconfigurable Processors (ENPOWER)

能源效率是现代加工系统设计的主要制约因素之一。有限的电池寿命和过高的内部功率密度限制了硅芯片中可以同时工作的晶体管数量。传统计算的能源和功率降低受到无法修改架构或适应制造工艺、温度或芯片制造后应用要求变化的限制。当这些变化可能发生时，会受到“边际”需求的限制，即引入安全边际，使设备在最恶劣的条件下运行。最坏的情况很少发生，如果技术能够适应实际的操作条件，就有可能获得重要的能源和性能收益。本研究通过研究具有新型电压、频率和逻辑缩放三重组的能量比例计算来解决这一挑战，以适应应用、制造或操作条件的变化。这项研究的结果有望为以下问题提供新的基本见解：未来的计算机如何在有限的能源预算下获得数量级的更高性能？

Energy efficiency is one of the primary design constraints for modern processing systems. Limited battery life and excessive internal power densities limit the number of transistors that can be active simultaneous in a silicon chip. Energy and power reduction in conventional computing is limited by the inability of modifying the architecture or adapting to changes in the fabrication process, temperature or application requirements after chip fabrication. When these changes are possible are limited by the need of "margining" that introduces safety margins so devices operate under worst conditions. Worst conditions are rarely the case an important energy and performance gains are possible if technology can adapt to the real conditions of operation. This research addresses this challenge by investigating energy proportional computing with a novel voltage, frequency and logic scaling triplet to adapt to changes in applications, fabrication or operating conditions. The results from this research are expected to deliver new fundamental insights to the question of: How future computers can obtain orders of magnitude higher performance with limited energy budgets?