Search Results for "mapreduce"

MIT-6.824 is a study repository containing source code and supporting material for MIT's distributed systems course. Its materials are based on the 2021 version of the class and organize resources around lectures and practical exercises. Topics include MapReduce, remote procedure calls, threads, the Google File System, primary-backup replication, and Raft consensus. The repository includes Go-based exercises such as crawler, key-value, and MapReduce labs. It also collects lecture questions intended to reinforce distributed systems concepts and paper discussions. Links to course schedules, lecture videos, and foundational papers provide additional material for independent study.

Hadoop-BAM is a Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. For a longer high-level description of Hadoop-BAM, refer to the article "Hadoop-BAM: directly manipulating next generation sequencing data in the cloud" in Bioinformatics Volume 28 Issue 6 pp. 876-877, available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. ...

Aspose for Hadoop project enables Apache Hadoop / MapReduce developers to work with various binary file formats. The developers can create and convert binary sequence files into text sequence files.

MapReduce++ is a project for implementation of parallel algorithms. It has currently two C++ implementations of the MapReduce abstraction: the MapMP library (multiprocessors) and the MaPI framework (multicomputers).