_posts/2010-08-02-hama_in_academic_paper.html (17 lines of code) (raw):

--- layout: post status: PUBLISHED published: true title: Apache Hama in academic paper. id: d1d54bd5-9268-430c-9482-bd9c6cb9ed44 date: '2010-08-02 11:28:57 -0400' categories: hama tags: - article - computing - distributed permalink: hama/entry/hama_in_academic_paper --- <p><b>Abstract</b>&mdash;APPLICATION. Various scientific computations have become so complex, and thus computation tools play an important role. In this paper, we explore the state-of-the-art framework providing high-level matrix computation primitives with MapReduce through the case study approach, and demon-strate these primitives with different computation engines to show the performance and scalability. We believe the opportunity for using MapReduce in scientific computation is even more promising than the success to date in the parallel systems literature.<br /> <br/><br/><br /> <a href="http://csl.skku.edu/papers/CS-TR-2010-330.pdf">http://csl.skku.edu/papers/CS-TR-2010-330.pdf</a></p>