Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, F. Catthoor, D. Soudris
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引用次数: 1
摘要
英特尔Optane DC Persistent Memory (DCPM)是为数据密集型HPC应用构建存储系统的一项有吸引力的新技术,因为它比DRAM提供更低的每字节成本、更低的待机功耗和更大的容量,并且具有相当的延迟。这项工作对Optane DCPM的能量消耗进行了深入的评估,使用了专门设计的完善的指数来解决持久记忆的挑战和限制。在不同类型的YCSB工作负载下,我们研究了几种索引数据结构和LevelDB键值存储的Optane DCPM的能源效率。通过在存储系统中集成Optane DCPM,与典型的SSD存储解决方案相比,LevelDB实验的能量降低了71.2%,吞吐量提高了37.3%。
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures
The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable latency. This work provides an in-depth evaluation of the energy consumption of the Optane DCPM, using well-established indexes specifically designed to address the challenges and constraints of the persistent memories. We study the energy efficiency of the Optane DCPM for several indexing data structures and for the LevelDB key-value store, under different types of YCSB workloads. By integrating an Optane DCPM in a memory system, the energy drops by 71.2% and the throughput increases by 37.3% for the LevelDB experiments, compared to a typical SSD storage solution.