High performance computing and simulation: architectures, systems, algorithms, technologies, services, and applications

Smari, Waleed W.; Fiore, Sandro; Hill, David R.C.

doi:10.1002/cpe.2955

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…CPM climate simulations pose a number of high‐performance scientific computing challenges. The continuous weather and climate model development that makes CPM climate simulations possible is concurrent to considerable progress of highly scalable supercomputing infrastructure with high‐bandwidth and low‐latency network connections (interconnects), multicore CPUs, or parallel file systems leading to ever‐increasing computational resources [ Navarra et al , ; Smari et al , ]. The cumulative peak performance was about 250,000 times higher in 2014 than it was in 1993 (http://www.top500.org).…”

Section: Important Components For Cpm Climate Simulationsmentioning

confidence: 99%

A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges

Prein

Langhans

Fosser

et al. 2015

Reviews of Geophysics

1,096

967

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Regional climate modeling using convection‐permitting models (CPMs; horizontal grid spacing <4 km) emerges as a promising framework to provide more reliable climate information on regional to local scales compared to traditionally used large‐scale models (LSMs; horizontal grid spacing >10 km). CPMs no longer rely on convection parameterization schemes, which had been identified as a major source of errors and uncertainties in LSMs. Moreover, CPMs allow for a more accurate representation of surface and orography fields. The drawback of CPMs is the high demand on computational resources. For this reason, first CPM climate simulations only appeared a decade ago. In this study, we aim to provide a common basis for CPM climate simulations by giving a holistic review of the topic. The most important components in CPMs such as physical parameterizations and dynamical formulations are discussed critically. An overview of weaknesses and an outlook on required future developments is provided. Most importantly, this review presents the consolidated outcome of studies that addressed the added value of CPM climate simulations compared to LSMs. Improvements are evident mostly for climate statistics related to deep convection, mountainous regions, or extreme events. The climate change signals of CPM simulations suggest an increase in flash floods, changes in hail storm characteristics, and reductions in the snowpack over mountains. In conclusion, CPMs are a very promising tool for future climate research. However, coordinated modeling programs are crucially needed to advance parameterizations of unresolved physics and to assess the full potential of CPMs.

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Section: Important Components For Cpm Climate Simulationsmentioning

confidence: 99%

A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges

Prein

Langhans

Fosser

et al. 2015

Reviews of Geophysics

1,096

967

View full text Add to dashboard Cite

show abstract

“…Benchmarking, monitoring and profiling in the era of Exascale will need to see the introduction of some disruptive technologies [6]; some of which will be considered to leverage not only the efficiency of current systems but also the reliability and thus the entire system resiliency. Without this last point our software efforts will be useless.…”

Section: Discussionmentioning

confidence: 99%

Challenges for Benchmarking, profiling and performance evaluation in the era of Exascale

Hill

2014

2014 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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New challenges will arise with the emergence or Exascale systems. Such challenges are linked power consumption, Input/Ouput and memory performances, scalability of highly concurrent and hierarchical systems and the major one could be reliability. Codesign of software tools for Exascale machines and disruptive technologies will help to face the current challenges. In this talk we will focus on benchmarking profiling and performance analysis tools which could be the basis of scalable tool support on Exascale class machines.

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Recent developments in high‐performance computing and simulation: distributed systems, architectures, algorithms, and applications

Smari¹,

Fiore

Trinitis

2015

Concurrency and Computation

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High performance computing and simulation: architectures, systems, algorithms, technologies, services, and applications

Cited by 3 publications

References 19 publications

A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges

A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges

Challenges for Benchmarking, profiling and performance evaluation in the era of Exascale

Recent developments in high‐performance computing and simulation: distributed systems, architectures, algorithms, and applications

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