Remote sensing big data computing: Challenges and opportunities

Y Ma, H Wu, L Wang, B Huang, R Ranjan… - Future Generation …, 2015 - Elsevier
As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

The Sunway TaihuLight supercomputer: system and applications

H Fu, J Liao, J Yang, L Wang, Z Song, X Huang… - Science China …, 2016 - Springer
Abstract The Sunway TaihuLight supercomputer is the world's first system with a peak
performance greater than 100 PFlops. In this paper, we provide a detailed introduction to the …

Growth of cosmic structure: Probing dark energy beyond expansion

D Huterer, D Kirkby, R Bean, A Connolly, K Dawson… - Astroparticle …, 2015 - Elsevier
The quantity and quality of cosmic structure observations have greatly accelerated in recent
years, and further leaps forward will be facilitated by imminent projects. These will enable us …

Scheduling the I/O of HPC applications under congestion

A Gainaru, G Aupy, A Benoit, F Cappello… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
A significant percentage of the computing capacity of large-scale platforms is wasted
because of interferences incurred by multiple applications that access a shared parallel file …

Modular hpc i/o characterization with darshan

S Snyder, P Carns, K Harms, R Ross… - 2016 5th workshop …, 2016 - ieeexplore.ieee.org
Contemporary high-performance computing (HPC) applications encompass a broad range
of distinct I/O strategies and are often executed on a number of different compute platforms …

A year in the life of a parallel file system

GK Lockwood, S Snyder, T Wang… - … conference for high …, 2018 - ieeexplore.ieee.org
I/O performance is a critical aspect of data-intensive scientific computing. We seek to
advance the state of the practice in understanding and diagnosing I/O performance issues …

Lightweight silent data corruption detection based on runtime data analysis for HPC applications

E Berrocal, L Bautista-Gomez, S Di, Z Lan… - Proceedings of the 24th …, 2015 - dl.acm.org
Next-generation supercomputers are expected to have more components and, at the same
time, consume several times less energy per operation. Consequently, the number of soft …

Enabling particle applications for exascale computing platforms

SM Mniszewski, J Belak, JL Fattebert… - … Journal of High …, 2021 - journals.sagepub.com
The Exascale Computing Project (ECP) is invested in co-design to assure that key
applications are ready for exascale computing. Within ECP, the Co-design Center for …

HPDBSCAN: highly parallel DBSCAN

M Götz, C Bodenstein, M Riedel - … of the workshop on machine learning …, 2015 - dl.acm.org
Clustering algorithms in the field of data-mining are used to aggregate similar objects into
common groups. One of the best-known of these algorithms is called DBSCAN. Its distinct …

BD-CATS: big data clustering at trillion particle scale

MMA Patwary, S Byna, NR Satish… - Proceedings of the …, 2015 - dl.acm.org
Modern cosmology and plasma physics codes are now capable of simulating trillions of
particles on petascale systems. Each timestep output from such simulations is on the order …