This slide is to introduce the NSF CSSI project - HyLoC, which aims to develop a hybrid lossy compression framework to automatically construct the best-fit compression for diverse user objectives in data-intensive scientific research.NSF CDS&E Awards #2042084 and #200370
Cloud based image storage and processing requires revaluation of formats and processing methods. For...
Typically used to save space, non-lossy data compression can save time and energy during communicati...
Architectural and technological trends of systems used for scientific computing call for a significa...
This poster is to present the NSF CDS&E project (#2042084 and #2003709) at 2022 NSF CSSI PI Meeting....
This slide is to introduce the NSF CSSI project - ROCCI, which aims to develop a Requirement-Oriente...
For decades, the dominant geoscience and engineering array-oriented data storage format, netCDF/HDF,...
Today\u27s scientific simulations require a significant reduction of the data size because of extrem...
This poster is to present the progress of an NSF-funded project, called ROCCI, at 2022 NSF CSSI PI M...
Compression is commonly used in HPC applications to move and store data. Traditional lossless compre...
This poster is to present the progress of the NSF CSSI project (#2104023 and #2104024) at 2022 NSF C...
With the ever-increasing volumes of data produced by today\u27s large-scale scientific simulations, ...
Error-controlled lossy compression has been studied for years because of extremely large volumes of ...
High bandwidth instruments (data production rates of GB/s) have proliferated in photon science exper...
An effective data compressor is becoming increasingly critical to today\u27s scientific research, an...
Scientific research generates vast amounts of data, and the scale of data has significantly increase...
Cloud based image storage and processing requires revaluation of formats and processing methods. For...
Typically used to save space, non-lossy data compression can save time and energy during communicati...
Architectural and technological trends of systems used for scientific computing call for a significa...
This poster is to present the NSF CDS&E project (#2042084 and #2003709) at 2022 NSF CSSI PI Meeting....
This slide is to introduce the NSF CSSI project - ROCCI, which aims to develop a Requirement-Oriente...
For decades, the dominant geoscience and engineering array-oriented data storage format, netCDF/HDF,...
Today\u27s scientific simulations require a significant reduction of the data size because of extrem...
This poster is to present the progress of an NSF-funded project, called ROCCI, at 2022 NSF CSSI PI M...
Compression is commonly used in HPC applications to move and store data. Traditional lossless compre...
This poster is to present the progress of the NSF CSSI project (#2104023 and #2104024) at 2022 NSF C...
With the ever-increasing volumes of data produced by today\u27s large-scale scientific simulations, ...
Error-controlled lossy compression has been studied for years because of extremely large volumes of ...
High bandwidth instruments (data production rates of GB/s) have proliferated in photon science exper...
An effective data compressor is becoming increasingly critical to today\u27s scientific research, an...
Scientific research generates vast amounts of data, and the scale of data has significantly increase...
Cloud based image storage and processing requires revaluation of formats and processing methods. For...
Typically used to save space, non-lossy data compression can save time and energy during communicati...
Architectural and technological trends of systems used for scientific computing call for a significa...
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