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<div class="moz-cite-prefix">On 3/10/2016 12:02 PM, Eliot Miranda
wrote:<br>
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cite="mid:CAC20JE3fKqOcoOVr2Hwf1wnHzh_ns7MQmJhJExjj_h5_=5h_1A@mail.gmail.com"
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<div class="gmail_quote">On Wed, Mar 9, 2016 at 5:27 PM,
Florin Mateoc <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:florin.mateoc@gmail.com" target="_blank">florin.mateoc@gmail.com</a>></span>
wrote:<br>
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On 3/9/2016 8:23 PM, Eliot Miranda wrote:<br>
><br>
> Hi Florin,<br>
><br>
> I believe the correct fix is for ObjectMemory
needs to decompose fetchLong64:ofObject: into two 32-but
reads unless BytesPerWord = 8. I'll commit asap (which
is once I have 64-bit small float tagging converted).
But your fix should keep you going until then.<br>
><br>
> _,,,^..^,,,_ (phone)<br>
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<br>
</span>Hi Eliot,<br>
<br>
I don't understand how two 32-bit reads can take care of
5-byte long largeIntegers, but you know best (usually :))<br>
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<div>Because in V3 any object occupies some number of 32-bit
words, zero padded. So a 5 byte large integer is actually
a 4 byte header followed by an 8 byte unit whose most
significant 3 bytes are always zero. In Spur, any object
occupies some number of 8-byte words, so a 5 byte integer
has an 8 byte header followed by an 8 byte unit, but a 9
byte integer occupies 24 bytes (8 byte header, 16 bytes
data).</div>
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<div>So in V3, fetching 64-bits from a 5 to 8 byte large
integer must be done in two reads because objects are only
aligned to a 4 byte boundary, but in Spur it can be done
in a single 64-bit read because all objects are aligned on
an 8 byte boundary.<br>
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<br>
Thank you, that makes perfect sense<br>
<br>
Florin<br>
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