The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: HUST-23: 10th International Workshop on HPC User Support Tools
Authors: Andy Zhang (University of California, Los Angeles (UCLA); Lawrence Berkeley National Laboratory (LBNL)) and Sridutt Bhalachandra, SiQi Deng, and Zhengji Zhao (Lawrence Berkeley National Laboratory (LBNL))
Abstract: Power has recently become a significant limiting factor in supercomputing. It is imperative that future high-performance computing (HPC) systems are energy-efficient. Efficient system designs necessitate understanding the power signature of current supercomputing workloads. Additionally, that understanding will enable power efficiency improvements in existing systems. With advancements in power measurement and data collection techniques, many computing centers, including NERSC, collect a vast amount of data every second, including power usage and other performance metrics. However, access is not straightforward, being a time-consuming process.
We propose NPAT, a power analysis tool that aims to provide easy access to power usage data on the web. It provides a quick and accessible way to view the power usage data of NERSC systems, jobs, and applications. Being implemented in PHP, Javascript, and Python with open-source libraries and modules, it promises effortless portability to other sites.
Back to HUST-23: 10th International Workshop on HPC User Support Tools Archive Listing