Md. Wasi-ur-Rahman

Intel (United States) — United States

Computer Science · Physical Sciences

16h-index1.0kcitations34works0.02yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Cloud Computing and Resource Management(28), Advanced Data Storage Technologies(23), Caching and Content Delivery(13), Parallel Computing and Optimization Techniques(6), Graph Theory and Algorithms(6)

Publications34 total

A Tools Information Interface for OpenSHMEM
Lecture notes in computer science·2022
Can Deferring Small Messages Enhance the Performance of OpenSHMEM Applications?
Lecture notes in computer science·2022· 1 cited
Efficient data access strategies for Hadoop and Spark on HPC cluster with heterogeneous storage
2016· 15 cited
Can Non-volatile Memory Benefit MapReduce Applications on HPC Clusters?
2016· 3 cited
MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers
2016· 14 cited
High Performance Design for HDFS with Byte-Addressability of NVM and RDMA
2016· 64 citedOpen Access
Characterizing and benchmarking stand-alone Hadoop MapReduce on modern HPC clusters
The Journal of Supercomputing·2016· 1 cited
High-Performance Hybrid Key-Value Store on Modern Clusters with RDMA Interconnects and SSDs: Non-blocking Extensions, Designs, and Benefits
2016· 23 cited
A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS
Lecture notes in computer science·2016· 2 cited
Accelerating Big Data Processing on Modern HPC Clusters
2016· 1 cited
Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads
2015· 6 cited
Performance characterization and acceleration of in-memory file systems for Hadoop and Spark applications on HPC clusters
2015· 19 cited
Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-Based Key-Value Store
2015· 29 cited
High-Performance Design of YARN MapReduce on Modern HPC Clusters with Lustre and RDMA
2015· 43 cited
Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage Architecture
2015· 75 cited
Can RDMA benefit online data processing workloads on memcached and MySQL?
2015· 6 cited
In-memory I/O and replication for HDFS with Memcached: Early experiences
2014· 14 cited
Performance Modeling for RDMA-Enhanced Hadoop MapReduce
2014· 12 cited
MIC-Check
2014· 16 cited
A Micro-benchmark Suite for Evaluating Hadoop RPC on High-Performance Networks
Lecture notes in computer science·2014· 10 cited
page 1 of 2Next →

Frequent Co-authors

Dhabaleswar K. Panda(29), Nusrat Sharmin Islam(28), Xiaoyi Lu(22), Dipti Shankar(11), Jithin Jose(8), Hari Subramoni(7), Hao Wang(4), Jian Huang(3), Xiangyong Ouyang(3), Raghunath Rajachandrasekar(3), Miao Luo(2), Chet Murthy(2), David Ozog(2), Kieran Holland(2), Minjia Zhang(1), Hao Wang(1), Sayantan Sur(1), Hao Wang(1), Mohammad Tanvir Rahman(1), Tareq Khan(1)