Shashank Gugnani

According to our database1, Shashank Gugnani authored at least 16 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Arcadia: A Fast and Reliable Persistent Memory Replicated Log.
CoRR, 2022

2021
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

DStore: A Fast, Tailless, and Quiescent-Free Object Store for PMEM.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020
Understanding the Idiosyncrasies of Real Persistent Memory.
Proc. VLDB Endow., 2020

RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM.
Proceedings of the International Conference for High Performance Computing, 2020

Impact of Commodity Networks on Storage Disaggregation with NVMe-oF.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2018
Analyzing, Modeling, and Provisioning QoS for NVMe SSDs.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

2017
MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

Swift-X: Accelerating OpenStack Swift with RDMA for Building an Efficient HPC Cloud.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Characterizing and accelerating indexing techniques on distributed ordered tables.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Extending Science Gateway Frameworks to Support Big Data Applications in the Cloud.
J. Grid Comput., 2016

Impact of HPC Cloud Networking Technologies on Accelerating Hadoop RPC and HBase.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Designing Virtualization-Aware and Automatic Topology Detection Schemes for Accelerating Hadoop on SR-IOV-Enabled Clouds.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

High-performance design of apache spark with RDMA and its benefits on various workloads.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2014
Rule Based Classification on a Multi Node Scalable Hadoop Cluster.
Proceedings of the Internet and Distributed Computing Systems, 2014


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