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In contrast, in figure 10, the score is initialized to -1, probably was just copied from the predecessor register chain, where this does hold true.
Again, this is purely a small mistake I encountered when reading the paper, but I thought I would mention it, in case somebody else stumbles upon it.
Kind regards
Christian
The text was updated successfully, but these errors were encountered:
You are correct. The initialization of score to q_span, or w[i] as in Equation (1) in our paper, is the implementation of score(i) = max{ ..., w[i] }. We missed this in Fig. 10, because it could be implemented as either the last stage or the initialization stage. We were preoccupied with the implementation of max{score[j] + weight(j,i)} when drawing the figure.
Thanks again for pointing this out! It will definitely help others who got confused by our mistake.
Hi everyone,
I have read with great interest your paper on this topic and while studying the paper in detail, I stumbled upon what I believe to be a small mistake in the printed paper: The initial value for the score is not -1, but rather initialized to qspan.
In the testbed, this is defined here: https://github.com/UCLA-VAST/minimap2-acceleration/blob/master/testbed/chain.c#L48
In the current master (of minimap2), this is also true.
I am really bad at reading HLS, but the same is done in the HLS code as well: https://github.com/UCLA-VAST/minimap2-acceleration/blob/master/kernel/hls/src/device_kernel.cpp#L218
In contrast, in figure 10, the score is initialized to -1, probably was just copied from the predecessor register chain, where this does hold true.
Again, this is purely a small mistake I encountered when reading the paper, but I thought I would mention it, in case somebody else stumbles upon it.
Kind regards
Christian
The text was updated successfully, but these errors were encountered: