Spark for HPC: a comparison with MPI on compute-intensive applications using Monte Carlo method
With the emergence of various big data platforms in recent years, Apache Spark - a distributed large-scale computing platform, is perceived as a potential substitute for Message Passing Interface (MPI) in High Performance Computing (HPC). Due to the limitations in fault-tolerance, dynamic resource h...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Uppsala universitet, Institutionen för informationsteknologi
2018
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392311 |