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eunaeuna / GraphFrameworkOnGPUs

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table 2 (GTEPS, separated by primitive and GPU type), purpose? #12

Open jowens opened 5 years ago

jowens commented 5 years ago

What is the take-home point from this graph? What do you want the reader to take away? "Here's a bunch of data" is not a good take-home point. With every figure/graph in the paper, we want to advance the message of the paper, show the reader something beyond "Here's a bunch of data".

jowens commented 5 years ago

Same thing for Figure 3.

jowens commented 5 years ago

Also there is no point in adding a Gunrock-default bar to this graph. As previously noted, it's a waste of space.

eunaeuna commented 5 years ago

We got bunch of data showing interesting phenomenons and wanted to share as much as possible. Because of the space limitation, the size of plots are small but they have high resolution so that readers can see them better with zoom-in.

Are you suggesting removing some of them? Different frameworks, different types of graphs, different system and different algorithms show different results... how can we decide which should be kept and what should be kicked out? If you have a better suggestions, please share with us.

jowens commented 5 years ago

I'm not saying remove data. I'm saying that you actually want to have a message with any data visualization. "I want you to be able to compare Framework X vs. Framework Y and easily be able to see which is faster". "I want you to be able to compare GPU Z vs. GPU W and easily be able to see which is faster". What is the message you want to convey?

eunaeuna commented 5 years ago

I understood your perspective in Gunrock default vs. optimized. Optimization effect seems to greatly outperform in BFS and some of traversal algorithm rather than PageRank type of computation. I think it has meaning in that way; how optimization in load-balancing and algorithm can produce a good results..

eunaeuna commented 5 years ago

What is the message you want to convey? Now I understood. I think I intended to show "combination of a framework and a GPU. Let me try to review the paper if I can make that part more clear.