Performance Evaluation of Spark, Ray and MPI: A Case Study on Long Read Alignment Algorithm

Author:

Ran Kun,Cui Yingbo,Wang Zihang,Peng Shaoliang

Publisher

Springer Nature Singapore

Reference24 articles.

1. Abuín, J.M., Lopes, N., Ferreira, L., et al.: Big data in metagenomics: apache spark vs MPI. PLOS ONE 15 (2020)

2. Leiserson, C.E., et al.: There’s plenty of room at the top: what will drive computer performance after Moore’s law? Science (New York, N.Y.) 368, 6495 (2020). https://doi.org/10.1126/science.aam9744

3. Zaharia, M.A. et al.: Spark: cluster computing with working sets. In: USENIX Workshop on Hot Topics in Cloud Computing (2010)

4. Moritz, P., Nishihara, R., Wang, S., et al.: Ray: a distributed framework for emerging AI applications (2017)

5. The MPI Forum, Corporate. MPI: a message passing interface. Supercomputing’93 (1993)

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