Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.The evolution in scientific computing towards data-intensive applications and the increase of heterogeneity in
the computing resources, are exposing new challenges in the I/O layer requirements. We propose a generic I/O
architecture for data-intensive applications based on in-memory distributed caching. This solution leverages
the evolution of network capacities and the price drop in memory to improve I/O performance for I/O-bounded
applications adaptable to existing high-performance scenarios. We have showed the potential improvementsEuropean Cooperation in Science and Technology. COSTThis work is partially supported by EU under the COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS). This work is partially supported by the grant TIN2013-41350-P, Scalable Data Management Techniques for High-End Computing Systems from the Spanish Ministry of Economy and Competitiveness
