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Petascale computing

Known as: Petascale, Petascale simulation 
Petascale can also refer to very large storage systems where the capacity exceeds one petabyte (PB).
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Contemporary High Performance Computing
Exascale focuses on the ecosystems surrounding the world s leading centers for high performance computing (HPC). It covers many… 
Highly Cited
2014
Highly Cited
2014
MPI-AMRVAC FOR SOLAR AND ASTROPHYSICS
In this paper, we present an update to the open source MPI-AMRVAC simulation toolkit where we focus on solar and non-relativistic… 
Highly Cited
2014
Highly Cited
2014
Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers
We present an end-to-end optimization of the innovative Arbitrary high-order DERivative Discontinuous Galerkin (ADER-DG) software… 
Highly Cited
2011
Highly Cited
2011
Hybrid checkpointing using emerging nonvolatile memories for future exascale systems
The scalability of future Massively Parallel Processing (MPP) systems is being severely challenged by high failure rates. Current… 
Highly Cited
2011
Highly Cited
2011
High performance computing using MPI and OpenMP on multi-core parallel systems
2009
2009
Petascale computing with accelerators
A trend is developing in high performance computing in which commodity processors are coupled to various types of computational… 
Highly Cited
2009
Highly Cited
2009
Parallel Scripting for Applications at the Petascale and Beyond
Scripting accelerates and simplifies the composition of existing codes to form more powerful applications. Parallel scripting… 
Highly Cited
2009
Highly Cited
2009
Turbulent collision of inertial particles: point-particle based, hybrid simulations and beyond
Review
2008
Review
2008
Overview of the IBM Blue Gene/P Project
IBM announced the Blue Gene/Pe system as the leading offering in its massively parallel Blue Genet supercomputer line, succeeding… 
Highly Cited
2007
Highly Cited
2007
Petascale computational systems
A balanced cyberinfrastructure is necessary to meet growing data-intensitive scientific needs. We believe that available… 
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