Dipti Shankar
Dipti Shankar
Verified email at osu.edu
Title
Cited by
Cited by
Year
Accelerating spark with rdma for big data processing: Early experiences
X Lu, MWU Rahman, N Islam, D Shankar, DK Panda
2014 IEEE 22nd Annual Symposium on High-Performance Interconnects, 9-16, 2014
1112014
Triple-H: A hybrid approach to accelerate HDFS on HPC clusters with heterogeneous storage architecture
NS Islam, X Lu, M Wasi-ur-Rahman, D Shankar, DK Panda
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
822015
High-performance design of apache spark with rdma and its benefits on various workloads
X Lu, D Shankar, S Gugnani, DK Panda
2016 IEEE International Conference on Big Data (Big Data), 253-262, 2016
482016
Accelerating I/O performance of big data analytics on HPC clusters through RDMA-based key-value store
NS Islam, D Shankar, X Lu, M Wasi-Ur-Rahman, DK Panda
2015 44th International Conference on Parallel Processing, 280-289, 2015
352015
Performance characterization and acceleration of in-memory file systems for Hadoop and Spark applications on HPC clusters
NS Islam, M Wasi-ur-Rahman, X Lu, D Shankar, DK Panda
2015 IEEE International Conference on Big Data (Big Data), 243-252, 2015
292015
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 Wasi-Ur-Rahman, DK Panda
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
242016
High-performance and resilient key-value store with online erasure coding for big data workloads
D Shankar, X Lu, DK Panda
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
172017
Boldio: A hybrid and resilient burst-buffer over lustre for accelerating big data i/o
D Shankar, X Lu, DK Panda
2016 IEEE International Conference on Big Data (Big Data), 404-409, 2016
162016
MR-Advisor: A comprehensive tuning, profiling, and prediction tool for MapReduce execution frameworks on HPC clusters
M Wasi-ur-Rahman, NS Islam, X Lu, D Shankar, DKDK Panda
Journal of Parallel and Distributed Computing 120, 237-250, 2018
142018
Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads
D Shankar, X Lu, M Wasi-ur-Rahman, N Islam, DK Panda
2015 IEEE International Conference on Big Data (Big Data), 539-544, 2015
132015
Impact of HPC Cloud Networking Technologies on Accelerating Hadoop RPC and HBase
X Lu, D Shankar, S Gugnani, H Subramoni, DK Panda
2016 IEEE International Conference on Cloud Computing Technology and Science …, 2016
122016
MR-Advisor: A comprehensive tuning tool for advising HPC users to accelerate MapReduce applications on supercomputers
M Wasi-Ur-Rahman, NS Islam, X Lu, D Shankar, DK Panda
2016 28th International Symposium on Computer Architecture and High …, 2016
112016
Can rdma benefit online data processing workloads on memcached and mysql?
D Shankar, X Lu, J Jose, M Wasi-ur-Rahman, N Islam, DK Panda
2015 IEEE International Symposium on Performance Analysis of Systems and …, 2015
92015
Scalable and Distributed Key-Value Store-based Data Management Using RDMA-Memcached.
X Lu, D Shankar, DK Panda
IEEE Data Eng. Bull. 40 (1), 50-61, 2017
82017
A micro-benchmark suite for evaluating Hadoop MapReduce on high-performance networks
D Shankar, X Lu, M Wasi-ur-Rahman, N Islam, DKDK Panda
Workshop on Big Data Benchmarks, Performance Optimization, and Emerging …, 2014
52014
Performance characterization and acceleration of big data workloads on OpenPOWER system
X Lu, H Shi, D Shankar, DKDK Panda
2017 IEEE International Conference on Big Data (Big Data), 213-222, 2017
42017
SimdHT-bench: characterizing SIMD-aware hash table designs on emerging CPU architectures
D Shankar, X Lu, DKDK Panda
2019 IEEE International Symposium on Workload Characterization (IISWC), 178-188, 2019
32019
A plugin-based approach to exploit rdma benefits for apache and enterprise hdfs
A Bhat, NS Islam, X Lu, M Wasi-ur-Rahman, D Shankar, DKDK Panda
BPOE, 119-132, 2015
32015
A plugin-based approach to exploit rdma benefits for apache and enterprise hdfs
A Bhat, NS Islam, X Lu, M Wasi-ur-Rahman, D Shankar, DKDK Panda
BPOE, 119-132, 2015
32015
UMR-EC: A unified and multi-rail erasure coding library for high-performance distributed storage systems
H Shi, X Lu, D Shankar, DK Panda
Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019
22019
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Articles 1–20