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Energy implications of common operations in resource-intensive Java-based scientific applications

机译：基于资源密集型Java的科学应用中共同运营的能量影响

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摘要

Today's scientific applications usually take considerable time to run, and hence parallel computing environments, such as Grids and data centers/Clouds, have emerged. Indeed, traditionally, much research in high-performance computing has been conducted with the goal of executing such applications as fast as possible. However, energy has recently been recognized as another crucial goal to consider, because of its negative economic and ecological implications. Energy-driven solutions in these environments are mostly focused on the hardware and middleware layers, but little efforts target the application level. We revisit a catalog of primitives commonly used in object oriented-based scientific programming, or micro-benchmarks, to identify energy-friendly variants of the same primitive. Based on this, we refactor three existing scientific applications, resulting in energy improvements ranging from 2.58% to 96.74%.
机译：今天的科学应用程序通常需要相当长的时间来运行，因此出现了并行计算环境，例如网格和数据中心/云。事实上，传统上，已经在高性能计算中进行了许多研究，该研究已经开始尽可能快地执行这些应用。然而，由于其负面经济和生态影响，能源最近被认为是另一种重要目标是考虑的另一个重要目标。这些环境中的能源驱动的解决方案主要集中在硬件和中间件层上，但努力的努力达到应用级别。我们重新审视常用于面向对象的科学编程或微基准的基元目录，以识别相同原语的能量友好型变体。基于此，我们重构了三种现有的科学应用，导致能量改进的增长率为2.58％至96.74％。

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