An ephemeral burst-buffer file system for scientific applications

T Wang, K Mohror, A Moody, K Sato… - SC'16: Proceedings of …, 2016 - ieeexplore.ieee.org
Burst buffers are becoming an indispensable hardware resource on large-scale
supercomputers to buffer the bursty I/O from scientific applications. However, there is a lack …

Adaptive data placement for staging-based coupled scientific workflows

Q Sun, T **, M Romanus, H Bui, F Zhang… - Proceedings of the …, 2015 - dl.acm.org
Data staging and in-situ/in-transit data processing are emerging as attractive approaches for
supporting extreme scale scientific workflows. These approaches improve end-to-end …

Insights for exascale IO APIs from building a petascale IO API

J Lofstead, R Ross - Proceedings of the International Conference on …, 2013 - dl.acm.org
Near the dawn of the petascale era, IO libraries had reached a stability in their function and
data layout with only incremental changes being incorporated. The shift in technology …

MLOC: Multi-level layout optimization framework for compressed scientific data exploration with heterogeneous access patterns

Z Gong, T Rogers, J Jenkins, H Kolla… - 2012 41st …, 2012 - ieeexplore.ieee.org
The size and scope of cutting-edge scientific simulations are growing much faster than the
I/O and storage capabilities of their runtime environments. The growing gap gets …

LightPC: hardware and software co-design for energy-efficient full system persistence

S Lee, M Kwon, G Park, M Jung - Proceedings of the 49th Annual …, 2022 - dl.acm.org
We propose LightPC, a lightweight persistence-centric platform to make the system robust
against power loss. LightPC consists of hardware and software subsystems, each being …

SDS: a framework for scientific data services

B Dong, S Byna, K Wu - Proceedings of the 8th Parallel Data Storage …, 2013 - dl.acm.org
Large-scale scientific applications typically write their data to parallel file systems with
organizations designed to achieve fast write speeds. Analysis tasks frequently read the data …