NOWLAB :: Publications

This page lists the publications by Dipti Shankar

Journals (3)
1	M. W. Rahman, N. Islam, X. Lu, D. Shankar, and DK Panda, MR-Advisor: A Comprehensive Tuning, Profiling, and Prediction Tool for MapReduce Execution Frameworks on HPC Clusters, Journal of Parallel and Distributed Computing (JPDC), Nov 2017.
2	X. Lu, D. Shankar, and DK Panda, Scalable and Distributed Key-Value Store-based Data Management Using RDMA-Memcached, "IEEE Data Engineering Bulletin (DEBull), Volume 40", Bulletin of the Technical Committee on Data Engineering (TCDE), (Invited Paper), Mar 2017.
3	D. Shankar, X. Lu, M. W. Rahman, N. Islam, and DK Panda, Characterizing and benchmarking stand-alone Hadoop MapReduce on modern HPC clusters, The Journal of Supercomputing - Springer, Jun 2016.

Book Chapter (1)
1	X. Lu, M. W. Rahman, N. Islam, D. Shankar, and DK Panda, Accelerating Big Data Processing on Modern HPC Clusters , Book "Conquering Big Data with High Performance Computing", Edited by Ritu Arora - Springer International Publishing (Invited Book Chapter) , Jul 2016.

Conferences & Workshops (19)
1	SIMD-KV: Accelerating End-to-End Performance in Key-Value Stores with SIMD and RDMA over Emerging CPU Architectures D. Shankar, X. Lu, and DK Panda, 26th IEEE International Conference on High Performance Computing, Data, Analytics and Data Science (HiPC '19), Dec 2019 [Bib - Plain]
2	SimdHT-Bench: Characterizing SIMD-Aware Hash Table Designs on Emerging CPU Architectures D. Shankar, X. Lu, and DK Panda, 2019 IEEE International Symposium on Workload Characterization, Nov 2019 [Best Paper Finalist] [Bib - Plain]
3	Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud with RDMA Networks X. Lu, D. Shankar, H. Shi, and DK Panda, 2018 IEEE International Conference on Big Data, Dec 2018 [Short Paper] [Bib - Plain]
4	High-Performance Multi-Rail Erasure Coding Library over Modern Data Center Architectures: Early Experiences H. Shi, X. Lu, D. Shankar, and DK Panda, ACM Symposium on Cloud Computing (SoCC) 2018, Oct 2018 [Poster Paper] [Bib - Plain]
5	Performance Characterization and Acceleration of Big Data Workloads on OpenPOWER System X. Lu, H. Shi, D. Shankar, and DK Panda, 2017 IEEE International Conference on Big Data (IEEE Big Data 2017), Dec 2017 [Bib - Plain]
6	High-Performance and Resilient Key-Value Store with Online Erasure Coding for Big Data Workloads D. Shankar, X. Lu, and DK Panda, 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), Jun 2017 [Bib - Plain]
7	Impact of HPC Cloud Networking Technologies on Accelerating Hadoop RPC and HBase X. Lu, D. Shankar, , H. Subramoni, and DK Panda, 8th IEEE International Conference on Cloud Computing Technology and Science (IEEE CloudCom '16), Dec 2016 [Bib - Plain]
8	Boldio: A Hybrid and Resilient Burst-Buffer Over Lustre for Accelerating Big Data I/O D. Shankar, X. Lu, and DK Panda, 2016 IEEE International Conference on Big Data, Dec 2016 [Short Paper] [Bib - Plain]
9	High-Performance Design of Apache Spark with RDMA and Its Benefits on Various Workloads X. Lu, D. Shankar, , and DK Panda, 2016 IEEE International Conference on Big Data, Dec 2016 [Bib - Plain]
10	MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers M. W. Rahman, N. Islam, X. Lu, D. Shankar, and DK Panda, 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'16), Oct 2016 [Bib - Plain]
11	High-Performance Hybrid Key-Value Store on Modern Clusters with RDMA Interconnects and SSDs: Non-blocking Extensions, Designs, and Benefits D. Shankar, X. Lu, N. Islam, M. W. Rahman, and DK Panda, The 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS '16), May 2016 [Bib - Plain]
12	Benchmarking Key-Value Stores on High-Performance Storage and Interconnects for Web-Scale Workloads D. Shankar, X. Lu, M. W. Rahman, N. Islam, and DK Panda, 2015 IEEE International Conference on Big Data, Oct 2015 [Short Paper] [Bib - Plain]
13	Performance Characterization and Acceleration of In-Memory File Systems for Hadoop and Spark Applications on HPC Clusters N. Islam, M. W. Rahman, X. Lu, D. Shankar, and DK Panda, 2015 IEEE International Conference on Big Data, Oct 2015 [Bib - Plain]
14	Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-based Key-Value Store N. Islam, D. Shankar, X. Lu, M. W. Rahman, and DK Panda, The 44th International Conference on Parallel Processing (ICPP '15), Sep 2015 [Bib - Plain]
15	A Plugin-based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS A. Bhat, N. Islam, X. Lu, M. W. Rahman, D. Shankar, and DK Panda, The Sixth workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, Aug 2015 [Bib - Plain]
16	Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage Architecture N. Islam, X. Lu, M. W. Rahman, D. Shankar, and DK Panda, CCGrid '15, May 2015 [Bib - Plain]
17	Can RDMA Benefit On-Line Data Processing Workloads with Memcached and MySQL D. Shankar, X. Lu, J. Jose, M. W. Rahman, N. Islam, and DK Panda, ISPASS '15, Mar 2015 [Poster Paper] [Bib - Plain]
18	A Micro-benchmark Suite for Evaluating Hadoop MapReduce on High-Performance Networks D. Shankar, X. Lu, M. W. Rahman, N. Islam, and DK Panda, The 5th Workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware (BPOE-5), Sep 2014 [Bib - Plain]
19	Accelerating Spark with RDMA for Big Data Processing: Early Experiences X. Lu, M. W. Rahman, N. Islam, D. Shankar, and DK Panda, International Symposium on High Performance Interconnects (HotI'14), Aug 2014 [Bib - Plain]

Ph.D. Disserations (1)
1	D. Shankar, Designing Fast, Resilient and Heterogeneity-Aware Key-Value Storage for Modern HPC Clusters, Jul 2019