<div class="Ih2E3d"><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">I'm
happy for you, but to me, you're stacking the deck by comparing to a
quite old CPU. you could break out the prices directly, but comparing
3x<br>
GPU (modern? sounds like pci-express at least) </blockquote></div><div>Mark, all CUDA capable cards are PCI-Express. (off the top of my head).<br><br><br> </div><div class="Ih2E3d"><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
to a current entry-level cluster node (8 core2/shanghai cores at 2.4-3.4 GHz) be more appropriate.<br>
<br>
at the VERY least, honesty requires comparing one GPU against all the cores<br>
in a current CPU chip. with your numbers, I expect that would change
the speedup from 117 to around 15. still very respectable.<br>
<br>
I apologize for not RTFcode, but does the host version of hmmer you're comparing with vectorize using SSE?<br></blockquote></div><br>Good question. I'd really like to see the numbers on this one also.<br>
As is clear to the list, I'm really enthusuastic about CUDA. But as you say no point in that if your compiler/application<br>could make equally good use of current on-chip SSE (etc. etc.)<br><br>(Currently sitting in an Altix Performance and Tuning class, and my head is spinning with this stuff.<br>
Pun very much intended.)<br> <br><br>
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