List of all comments to this article| Sorted by date, most recent at bottom |
| Comment 1 | Hasse | | 02-Apr-2000 22:00 GMT |
| Comment 2 | Spudley | | 02-Apr-2000 22:00 GMT |
| Comment 3 | Mark Olsen | | 02-Apr-2000 22:00 GMT |
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| News coverage : Comment 4 of 5 | ANN.lu |
| Posted by Joe "Floid" Kanowitz on 03-Apr-2000 22:00 GMT | What's interesting is that I submitted a more accurate story, complete with links to ANN, Amiga, Amiga-STL, and Tao's sites early that morning. Maybe I wasn't the first to submit, or perhaps Rob & company got pissed because I accidentally submitted it under the News heading instead of the Amiga heading, but someone else's confused little blurb made it through. I also linked to the Ars Technica article (Slashdotted a while back) on HP's Dynamo technology, which is very similar to Elate, although not as production-ready.
The Dynamo article is available at http://www.ars-technica.com/reviews/1q00/dynamo/dynamo-1.html ... read it and draw your own conclusion. Elate's translation code is incredibly tiny, so I doubt it's doing any deep optimization, but the beauty of the situation is that a desktop version (say, for x86 or PPC) can add increased optimization algorithms, at the expense of larger size, while an embedded version can stay svelte.
I'd personally like to hear someone with expertise in machine language/compiler construction comment on the VP's instruction set. Both Dynamo and Transmeta's firmware are using existing sets, but Tao's design means they've cooked up their own... how does it stack up compared to what we're used to seeing in hardware? Streamlined and elegant? More x86-like, because the VP software can handle translating more complex instructions into real ML? I almost have to wonder which would be faster... OOP-based ML, anyone? |
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| List of all comments to this article (continued) |
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