Abstract
As scientific data is reaching exascale, scalable and energy efficient data analytics is quickly becoming a top notch priority. Yet, a sustainable solution to this problem is hampered by a number of technical challenges that get exacerbated with the emerging hardware and software technology trends. In this paper, we present a number of recently created "secret sauces" that promise to address some of these challenges. We discuss transformative approaches to efficient data reduction, analytics-driven query processing, scalable analytical kernels, approximate analytics, among others. We propose a number of future directions that could be pursued on the path to sustainable data analytics at scale.
| Original language | English (US) |
|---|---|
| Title of host publication | 2012 International Green Computing Conference, IGCC 2012 |
| DOIs | |
| State | Published - 2012 |
| Event | 2012 International Green Computing Conference, IGCC 2012 - San Jose, CA, United States Duration: Jun 4 2012 → Jun 8 2012 |
Publication series
| Name | 2012 International Green Computing Conference, IGCC 2012 |
|---|
Other
| Other | 2012 International Green Computing Conference, IGCC 2012 |
|---|---|
| Country/Territory | United States |
| City | San Jose, CA |
| Period | 6/4/12 → 6/8/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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