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Speeding Up Distributed MapReduce Applications Using Hardware Accelerators.

, , , , , and . ICPP, page 42-49. IEEE Computer Society, (2009)

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Automatic Query Driven Data Modelling in Cassandra., , , and . ICCS, volume 51 of Procedia Computer Science, page 2822-2826. Elsevier, (2015)Improving Application Performance Through Swap Compression., , and . USENIX Annual Technical Conference, FREENIX Track, page 207-218. USENIX, (1999)Speeding Up Distributed MapReduce Applications Using Hardware Accelerators., , , , , and . ICPP, page 42-49. IEEE Computer Society, (2009)Workflow Environments for Advanced Cyberinfrastructure Platforms., , , , , , , and . ICDCS, page 1720-1729. IEEE, (2019)Evaluating the importance of virtual memory for Java., , , and . ISPASS, page 101-110. IEEE Computer Society, (2003)Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications., , , , , , , , , and 18 other author(s). SERVICES, page 394-395. IEEE, (2019)Mejora del rendimiento de las aplicaciones Java usando cooperación entre el sistema operativo y la máquina virtual de Java.. Polytechnic University of Catalonia, Spain, (2006)Performance-driven task co-scheduling for MapReduce environments., , , , and . NOMS, page 373-380. IEEE, (2010)Experiences on implementing PARMACS macros to run the SPLASH-2 suite on multiprocessors., , , and . PDP, page 64-69. IEEE Computer Society, (1998)Adaptive MapReduce Scheduling in Shared Environments., , , , , and . CCGRID, page 61-70. IEEE Computer Society, (2014)