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Disambiguation of "Shankar, Dipti"

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Accelerating Spark with RDMA for Big Data Processing: Early Experiences.

, , , , and . Hot Interconnects, page 9-16. IEEE Computer Society, (2014)

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Other publications of authors with the same name

Accelerating Spark with RDMA for Big Data Processing: Early Experiences., , , , and . Hot Interconnects, page 9-16. IEEE Computer Society, (2014)High-Performance Hybrid Key-Value Store on Modern Clusters with RDMA Interconnects and SSDs: Non-blocking Extensions, Designs, and Benefits., , , , and . IPDPS, page 393-402. IEEE Computer Society, (2016)MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers., , , , and . SBAC-PAD, page 198-205. IEEE Computer Society, (2016)MR-Advisor: A comprehensive tuning, profiling, and prediction tool for MapReduce execution frameworks on HPC clusters., , , , and . J. Parallel Distrib. Comput., (2018)A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS., , , , , and . BPOE, volume 9495 of Lecture Notes in Computer Science, page 119-132. Springer, (2015)Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-Based Key-Value Store., , , , and . ICPP, page 280-289. IEEE Computer Society, (2015)Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads., , , , and . BigData, page 539-544. IEEE Computer Society, (2015)Can RDMA benefit online data processing workloads on memcached and MySQL?, , , , , and . ISPASS, page 159-160. IEEE Computer Society, (2015)Performance characterization and acceleration of in-memory file systems for Hadoop and Spark applications on HPC clusters., , , , and . BigData, page 243-252. IEEE Computer Society, (2015)High-performance design of apache spark with RDMA and its benefits on various workloads., , , and . BigData, page 253-262. IEEE Computer Society, (2016)