The new paper titled “On the use of In-memory Analytics Workflows to compute eScience indicators from large climate datasets” accepted at the 1st Workshop on the Integration of Extreme Scale Computing and Big Data Management and Analytics (EBDMA 2017), which is held in conjunction with the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2017) in Madrid, Spain, May 14-17, 2017, will be presented on the 14th of May 2017 during the workshop.
