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Version management

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At line 4 changed 3 lines
KMR-1.0 is available on K computer since 2013-04-26.
KMR works on ordinary clusters as well.
KMR source code is available with BSD license.
KMR-1.0 is available since 2013-04-26.
KMR works on ordinary clusters as well as large-scale supercomputers.
KMR source code is available under the BSD license.
At line 8 changed one line
__Latest release is KMR-1.8.1 (2016-04-25)__.
__Latest release is KMR-1.10 (2018-11-16)__.
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Its main targets are large-scale supercomputers with thousands of compute nodes, such as K and Fujitsu FX10.
On these platforms, KMR provides utilities other than the map-reduce operations which address issues such as accessing very large file-systems.
Its main targets are large-scale supercomputers with thousands of compute nodes.
%%strike KMR provides utilities other than map-reduce operations to address issues such as accessing very large file-systems, on platforms K and Fujitsu FX10/%.
At line 15 changed one line
KMR is designed to work in-memory and exploit large amount of memory available on supercomputers, whereas most map-reduce implementations are designed to work with external (disk-based) operations.
KMR is designed to work in-memory and to exploit large amount of memory available on supercomputers, whereas most map-reduce implementations are designed to work with external (disk-based) operations.
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* [Overview and API Document|http://pf-aics-riken.github.io/kmr-manual/]
* [Overview and API Document|https://riken-rccs.github.io/kmr/]
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* Source Code Download:
** [Download]
* [Download]
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* KMR GitHub [https://github.com/pf-aics-riken]
* Issue Reporting [https://github.com/pf-aics-riken/kmr/issues]
* Software from RIKEN R-CCS [https://riken-rccs.github.io]
* KMR in GitHub [https://github.com/riken-rccs]
* Issue reporting [https://github.com/riken-rccs/kmr/issues]
* Other software from RIKEN R-CCS [https://riken-rccs.github.io]
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* [cluster2013.pdf]: __K MapReduce: A Scalable Tool for Data-Processing and Search/Ensemble Applications on Large-Scale Supercomputers__. Motohiko Matsuda, Naoya Maruyama, and Shinichiro Takizawa. IEEE Cluster Computing (CLUSTER) 2013. (C) Copyright IEEE. [IEEE Explore|http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6702663]\\
* __K MapReduce: A Scalable Tool for Data-Processing and Search/Ensemble Applications on Large-Scale Supercomputers__. Motohiko Matsuda, Naoya Maruyama, and Shinichiro Takizawa. IEEE Cluster Computing (CLUSTER) 2013. (C) Copyright IEEE. [ieeexplore.ieee.org|https://ieeexplore.ieee.org/document/6702663]\\
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* [hpcs2014.pdf]: __Supporting Workflow Management of Scientific Applications by MapReduce Programming Model__. Shinichiro Takizawa, Motohiko Matsuda, and Naoya Maruyama. IPSJ HPCS 2014. (Japanese)\\
* __Supporting Workflow Management of Scientific Applications by MapReduce Programming Model__. Shinichiro Takizawa, Motohiko Matsuda, and Naoya Maruyama. IPSJ HPCS 2014. (in Japanese). [http://id.nii.ac.jp/1001/00096874]\\
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* [bigdata2014.pdf]: __Evaluation of Asynchronous MPI Communication in Map-Reduce System on the K Computer__. Motohiko Matsuda, Naoya Maruyama, and Shinichiro Takizawa. EuroMPI Workshop 2014. (C) Copyright ACM. [ACM Digital Library|http://dl.acm.org/citation.cfm?id=2642800]\\
* __Evaluation of Asynchronous MPI Communication in Map-Reduce System on the K Computer__. Motohiko Matsuda, Naoya Maruyama, and Shinichiro Takizawa. EuroMPI Workshop 2014. (C) Copyright ACM. [dl.acm.org|https://dl.acm.org/doi/10.1145/2642769.2642800]\\
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!!DISCLAIMER
KMR comes with ABSOLUTELY NO WARRANTY.
This wiki also comes with ABSOLUTELY NO WARRANTY.
Contents are liable to change.
----
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!!DISCLAIMER
KMR comes with ABSOLUTELY NO WARRANTY.
This wiki also comes with ABSOLUTELY NO WARRANTY.
Contents are liable to change.
This page (revision-136) was last changed on 24-Nov-2020 16:59 by kmrdev Top
put your CopyrightNotice in here !
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