Index Catalog // Arch : Northwestern University Institutional Repository

Description:: The speed of the storage device has long lagged behind the computation speed of processors.As a result, the I/O performance of storage systems in a supercomputer fails to keep up with its computational power. This gap continues to widen in modern supercomputers. On future exascale supercomputers, this issue can worsen...
Keyword:: HDF5, NetCDF, Compression, Log, HPC, and Parallel I/O
Subject:: Computer engineering
Creator:: Hou, Kaiyuan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_948756 and http://dissertations.umi.com/northwestern:16383

Description:: The speed of the storage device has long lagged behind the computation speed of processors.As a result, the I/O performance of storage systems in a supercomputer fails to keep up with its computational power. This gap continues to widen in modern supercomputers. On future exascale supercomputers, this issue can worsen...
Keyword:: HDF5, NetCDF, Compression, Log, HPC, and Parallel I/O
Subject:: Computer engineering
Creator:: Hou, Kaiyuan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 03/24/2023
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_948756 and http://dissertations.umi.com/northwestern:16383

Description:: The era of big data creates opportunities for carrying out scientific simulations at exascale.With increasing data size, the complexity of the design and execution of scientific applications demand the use of high-level tools, namely workflow systems on supercomputers. The performance of workflow systems has paramount importance since the goal of...
Keyword:: High performance computing, Parallel Computing, and Parallel I/O
Subject:: Computer engineering
Creator:: Kang, Qiao
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_780039 and http://dissertations.umi.com/northwestern:15382

Description:: I/O performance has perpetually lagged well behind that of processors. This gap is made even more pronounced in the field of high-performance computing. While simply adding more network bandwidth and increasing the number of storage units is a simple way to increase theoretical peak I/O bandwidth, the software libraries for...
Keyword:: Caching, High Performance Computing, and Parallel I/O
Subject:: Electrical and Computer Engineering
Creator:: Kenin Coloma
Owner:: Scholarly Digital Publishing
Date Uploaded:: 08/28/2018
Date Modified:: 08/28/2018
Date Created:: 2007-12-11
Resource Type:: Dissertation

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