Paper Info
Title
Increasing molecular dynamics simulation rates with an 8-fold increase in electrical power efficiency.
Abstract
Electrical power efficiency is a primary concern in designing modern HPC systems. Common strategies to improve CPU power efficiency rely on increased parallelism within a processor that is enabled both by an increase in the vector capabilities within the core and also the number of cores within a processor. Although many-core processors have been available for some time, achieving power-efficient performance has been challenging due to the offload model. Here, we evaluate performance of the molecular dynamics code LAMMPS on two new Intel® processors including the second generation many-core Intel® Xeon Phi™ processor that is available as a bootable CPU. We describe our approach to measure power consumption out-of-band and software optimizations necessary to achieve energy efficiency. We analyze benefits from Intel® Advanced Vector Extensions 512 instructions and demonstrate increased simulations rates with over 9X the CPU+DRAM power efficiency when compared to the unoptimized code on previous generation processors.
Year
DOI
Venue
2016
10.1109/SC.2016.7
SC
Keywords
Field
DocType
molecular dynamics simulation rates,electrical power efficiency,HPC systems,CPU power efficiency,many-core processors,power-efficient performance,offload model,molecular dynamics code LAMMPS,many-core Intel Xeon Phi processor,bootable CPU,power consumption,software optimizations,energy efficiency
Electrical efficiency,Dram,Electric power,Central processing unit,Instruction set,Computer science,Efficient energy use,Parallel computing,CPU power dissipation,Xeon
Conference
ISBN
Citations 
PageRank 
978-1-4673-8815-3
0
0.34
References 
Authors
15
6
Name
Order
Citations
PageRank
W. Michael Brown118116.09
Andrey Semin231.21
Michael Hebenstreit300.34
Sergey Khvostov400.34
Karthik Raman530923.74
Steven J. Plimpton626422.82