NEKTAR, SPICE and Vortonics: Using Federated Grids for Large Scale Scientific Applications

2006 IEEE Challenges of Large Applications in Distributed Environments ◽

10.1109/clade.2006.1652052 ◽

2006 ◽

Cited By ~ 9

Author(s):

B. Boghosian ◽

P. Coveney ◽

Suchuan Dong ◽

L. Finn ◽

S. Jha ◽

...

Keyword(s):

Large Scale ◽

Scientific Applications

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Hardware Locality-Aware Partitioning and Dynamic Load-Balancing of Unstructured Meshes for Large-Scale Scientific Applications

Proceedings of the Platform for Advanced Scientific Computing Conference ◽

10.1145/3394277.3401851 ◽

2020 ◽

Author(s):

Pavanakumar Mohanamuraly ◽

Gabriel Staffelbach

Keyword(s):

Load Balancing ◽

Dynamic Load ◽

Large Scale ◽

Unstructured Meshes ◽

Dynamic Load Balancing ◽

Scientific Applications

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Chemical affinity assisted H2 isotope separation using Ca-rich onion-peel-derived nanoporous carbon composite

Materials Chemistry Frontiers ◽

10.1039/d1qm00894c ◽

2021 ◽

Author(s):

Raeesh Muhammad ◽

Suhwan Kim ◽

Jaewoo Park ◽

Minji Jung ◽

Myeongeun Lee ◽

...

Keyword(s):

Stable Isotopes ◽

Large Scale ◽

Isotope Separation ◽

Carbon Composite ◽

Nanoporous Carbon ◽

Chemical Affinity ◽

Scientific Applications ◽

Onion Peel

Stable isotopes of hydrogen are a prerequisite for many industrial and scientific applications and require their ready supply at a large scale. Herein, we explore the chemical affinity-assisted separation of...

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RAJA: Portable Performance for Large-Scale Scientific Applications

2019 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC) ◽

10.1109/p3hpc49587.2019.00012 ◽

2019 ◽

Cited By ~ 4

Author(s):

David A. Beckingsale ◽

Thomas RW Scogland ◽

Jason Burmark ◽

Rich Hornung ◽

Holger Jones ◽

...

Keyword(s):

Large Scale ◽

Scientific Applications

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Tuning Object-Centric Data Management Systems for Large Scale Scientific Applications

2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC) ◽

10.1109/hipc.2019.00023 ◽

2019 ◽

Author(s):

Houjun Tang ◽

Suren Byna ◽

Stephen Bailey ◽

Zarija Lukic ◽

Jialin Liu ◽

...

Keyword(s):

Data Management ◽

Large Scale ◽

Management Systems ◽

Scientific Applications ◽

Data Management Systems

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Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers

2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ◽

10.1109/ipdpsw.2016.78 ◽

2016 ◽

Cited By ~ 5

Author(s):

Xingfu Wu ◽

Valerie Taylor

Keyword(s):

Large Scale ◽

Scientific Applications ◽

Performance Counters ◽

Hardware Performance Counters ◽

And Performance ◽

Hardware Performance

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C Versus Fortran-77 for Scientific Programming

Scientific Programming ◽

10.1155/1992/439510 ◽

1992 ◽

Vol 1 (2) ◽

pp. 99-114

Author(s):

Tom MacDonald

Keyword(s):

Programming Language ◽

Large Scale ◽

Scientific Applications ◽

Linguistic Features ◽

Standard Library ◽

Fortran 77

The predominant programming language for numeric and scientific applications is Fortran-77 and supercomputers are primarily used to run large-scale numeric and scientific applications. Standard C* is not widely used for numerical and scientific programming, yet Standard C provides many desirable linguistic features not present in Fortran-77. Furthermore, the existence of a standard library and preprocessor eliminates the worst portability problems. A comparison of Standard C and Fortran-77 shows several key deficiencies in C that reduce its ability to adequately solve some numerical problems. Some of these problems have already been addressed by the C standard but others remain. Standard C with a few extensions and modifications could be suitable for all numerical applications and could become more popular in supercomputing environments.

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