Enabling Efficient Big Data Services on HPC Systems with SHMEM-Based Programming Stack
Thesis abstract With the continuous expansion of the Big Data universe, researchers have been relentlessly searching for ways to improve the efficiency of big data services, including data analytics and data infrastructures. In the meantime, there has also been an increasing interest to leverage Hig...
Other Authors: | Fu, Huansong (author) |
---|---|
Format: | Others |
Language: | English English |
Published: |
Florida State University
|
Subjects: | |
Online Access: | http://purl.flvc.org/fsu/fd/2019_Spring_Fu_fsu_0071E_14906 |
Similar Items
-
High Performance File System and I/O Middleware Design for Big Data on HPC Clusters
by: Islam, Nusrat Sharmin
Published: (2016) -
Computational storage: an efficient and scalable platform for big data and HPC applications
by: Mahdi Torabzadehkashi, et al.
Published: (2019-11-01) -
HPC Software and Programming Environments for Big Data Applications
by: Youngjae Kim, et al.
Published: (2018-01-01) -
HPC, Big Data, and AI Convergence Towards Exascale : Challenge and Vision
Published: (2022) -
Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems
by: Chris P. Bradley, et al.
Published: (2018-07-01)