Peer-Review Record
An Efficient Parallel Framework for the Discrete Element Method Using GPU
Appl. Sci. 2022, 12(6), 3107; https://doi.org/10.3390/app12063107
Reviewer 1:
Anonymous
Reviewer 2:
Anonymous
Appl. Sci. 2022, 12(6), 3107; https://doi.org/10.3390/app12063107
Submission received: 23 January 2022
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Revised: 2 March 2022
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Accepted: 2 March 2022
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Published: 18 March 2022
(This article belongs to the Special Issue Advanced Research in Soil and Rock Behavior for Geotechnical and Geohazard Engineering)
Round 1
Reviewer 1 Report
Dear authors,
thank you for the valuable research findings.
The significance of the presented content is high, although GPU parallelization is already available in commercial DEM codes and therefore not competely new.
Please consider reading my comments in the attached PDF.
I am glad if my notes are helpful for you.
Comments for author File: 
Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.DOC
Reviewer 2 Report
The reviewer thinks that the authors present a good research work to improve the DEM computation more efficiently. Some minor revisions are suggested as follows,
- As mentioned in the abstract and conclusion, the most important contribution of this research is to establish the contact pair list with a hybrid technique. However, in Section 2.2, the term “hybrid technique” was not introduced clearly. So, please make it clear in the text what the hybrid technique is.
- A flowchart about the parallel framework can be added, so that the readers can understand it easily and quickly.
- Similarly, some figures can be added to illustrate (1) GPU parallelization of “Calculate contact forces” (Section 2.3) and (2) GPU parallelization of “Update kinematic state of particles” (section 2.4), to help the readers understand them.
- Figure 4(b). The colorful legend belongs to Figure 4(a) was added here mistakenly, please remove it.
Author Response
Please see the attachment.
Author Response File: Author Response.DOC
