Automated Author ProfileWang, Manhui
Wang, Manhui
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 6.5 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract The Parallel Programming Interface for Distributed Data (PPIDD) library provides an interface, suitable for use in parallel scientific applications, that delivers communications and global data management. The library can be built either using the Global Arrays (GA) toolkit, or a standard MPI-2 library. This abstraction allows the programmer to write portable parallel codes that can utilise the best, or only, communications library that is available on a particular computing platform. Title of program: PPIDD Catalogue Id: AEEF_v1_0 Nature of problem Many scientific applications require management and communication of data that is global, and the standard MPI 2 protocol provides only low-level methods for the required one-sided remote memory access. Versions of this program held in the CPC repository in Mendeley Data AEEF_v1_0; PPIDD; 10.1016/j.cpc.2009.05.002 AEEF_v2_0; PPIDDv2; 10.1016/j.cpc.2011.03.020 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Wang, Manhui
Abstract We present an improved version of the Parallel Programming Interface for Distributed Data with Multiple Helper Servers (PPIDDv2) library, which provides a common application programming interface that is based on the most frequently used functionality of both MPI-2 and GA. Compared with the previous version, the PPIDDv2 library introduces multiple helper servers to facilitate global data structures, and allows programmers to make heavy use of large global data structures efficiently. Title of program: PPIDDv2 Catalogue Id: AEEF_v2_0 Nature of problem Many scientific applications require management and communication of data that is global, and the standard MPI-2 protocol provides only low-level methods for the required one-sided remote memory access. Versions of this program held in the CPC repository in Mendeley Data AEEF_v1_0; PPIDD; 10.1016/j.cpc.2009.05.002 AEEF_v2_0; PPIDDv2; 10.1016/j.cpc.2011.03.020 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Wang, Manhui
Abstract We present an improved version of the Parallel Programming Interface for Distributed Data with Multiple Helper Servers (PPIDDv2) library, which provides a common application programming interface that is based on the most frequently used functionality of both MPI-2 and GA. Compared with the previous version, the PPIDDv2 library introduces multiple helper servers to facilitate global data structures, and allows programmers to make heavy use of large global data structures efficiently. Title of program: PPIDDv2 Catalogue Id: AEEF_v2_0 Nature of problem Many scientific applications require management and communication of data that is global, and the standard MPI-2 protocol provides only low-level methods for the required one-sided remote memory access. Versions of this program held in the CPC repository in Mendeley Data AEEF_v1_0; PPIDD; 10.1016/j.cpc.2009.05.002 AEEF_v2_0; PPIDDv2; 10.1016/j.cpc.2011.03.020 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Wang, Manhui
Abstract The Parallel Programming Interface for Distributed Data (PPIDD) library provides an interface, suitable for use in parallel scientific applications, that delivers communications and global data management. The library can be built either using the Global Arrays (GA) toolkit, or a standard MPI-2 library. This abstraction allows the programmer to write portable parallel codes that can utilise the best, or only, communications library that is available on a particular computing platform. Title of program: PPIDD Catalogue Id: AEEF_v1_0 Nature of problem Many scientific applications require management and communication of data that is global, and the standard MPI 2 protocol provides only low-level methods for the required one-sided remote memory access. Versions of this program held in the CPC repository in Mendeley Data AEEF_v1_0; PPIDD; 10.1016/j.cpc.2009.05.002 AEEF_v2_0; PPIDDv2; 10.1016/j.cpc.2011.03.020 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
Authors
- Wang, Manhui