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Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics
راه پیما: یک سیستم ناهمگن حمایتی انرژی آگاه محاسبات با کارایی بالا و تحلیل داده های بزرگ-2017 Excessive energy consumption is a major constraint in designing and deploying the next generation
of supercomputers. Minimizing energy consumption of high performance computing and big data
applications requires novel energy-conscious technologies (both hardware and software) at multiple
layers from architecture, system support, and applications. In the past decade, we have witnessed
the significant progress toward developing more energy-efficient hardware and facility infrastructure.
However, the energy efficiency of software has not been improved much. One obstacle that hinders the
exploration of green software technologies is the lack of tools and systems that can provide accurate,
fine-grained, and real-time power and energy measurement for technology evaluation and verification.
Marcher, a heterogeneous high performance computing infrastructure, is built to fill the gap by providing
support to research in energy-aware high performance computing and big data analytics. The Marcher
system is equipped with Intel Xeon CPUs, Intel Many Integrated Cores (Xeon Phi), Nvidia GPUs, power
aware memory systems and hybrid storage with Hard Disk Drives (HDDs) and Solid State Disks (SSDs). It
provides easy-to-use tools and interfaces for researchers to obtain decomposed and fine-grained power
consumption data of these primary computing components. This paper presents the design of the
Marcher system and demonstrates the usage of Marcher power measurement tools to obtain detailed
power consumption data in various research projects.
Keywords:Energy efficient high performance|computing|Energy-aware big data analytics|Power-measurable systems|Power profiling |
مقاله انگلیسی |