Power and Performance Evaluation of Memory-Intensive Applications

Abstract

In terms of power and energy consumption, DRAMs play a key role in a modern server system as well as processors. Although power-aware scheduling is based on the proportion of energy between DRAM and other components, when running memory-intensive applications, the energy consumption of the whole server system will be significantly affected by the non-energy proportion of DRAM. Furthermore, modern servers usually use NUMA architecture to replace the original SMP architecture to increase its memory bandwidth. It is of great significance to study the energy efficiency of these two different memory architectures. Therefore, in order to explore the power consumption characteristics of servers under memory-intensive workload, this paper evaluates the power consumption and performance of memory-intensive applications in different generations of real rack servers. Through analysis, we find that: (1) Workload intensity and concurrent execution threads affects server power consumption, but a fully utilized memory system may not necessarily bring good energy efficiency indicators. (2) Even if the memory system is not fully utilized, the memory capacity of each processor core has a significant impact on application performance and server power consumption. (3) When running memory-intensive applications, memory utilization is not always a good indicator of server power consumption. (4) The reasonable use of the NUMA architecture will improve the memory energy efficiency significantly. The experimental results show that reasonable use of NUMA architecture can improve memory efficiency by 16% compared with SMP architecture, while unreasonable use of NUMA architecture reduces memory efficiency by 13%. The findings we present in this paper provide useful insights and guidance for system designers and data center operators to help them in energy-efficiency-aware job scheduling and energy conservation.

Application of 3D Virtual Scanning Technology in Landscape Planning of Complex Landscape Gardens

“…The system makes a landscape 3D model in 3ds Max software, the 3D model is the basis of 3D virtual VR technology landscape planning system design, 3D virtual VR technology creates a scene through the 3D model and achieves the effect of roaming landscape, and the quality of the 3D model seriously affects the interaction effect of the system. Build a three-dimensional model according to the actual situation of the landscape, select large buildings and all objects around the buildings in the landscape to build the model gradually, form a complete landscape, build a 3D model reasonably according to the scale, and arrange it in a suitable position [11].…”