@article {1440,
	title = {Race to Exascale},
	journal = {Computing in Science and Engineering},
	volume = {21},
	year = {2019},
	month = {2019-03},
	pages = {4-5},
	abstract = {Whether called leadership computing, flagship computing, or just plain exascale, over the next few years, governments around the world are planning to spend over 10 billion dollars on a handful of new computer systems that will strive to reach an exascale level of performance. These systems and projects reflect the widespread and expanding recognition that almost all science and engineering endeavors now are intrinsically reliant on computing power not just for modeling and simulation but for data analysis, big data, and machine learning. Scientists and engineers consider computers as {\textquotedblleft}universal instruments{\textquotedblright} of insight.},
	issn = {1558-366X},
	doi = {https://doi.org/10.1109/MCSE.2018.2882574},
	author = {Jack Dongarra and Steven Gottlieb and William T. Kramer}
}
