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Beware, the first hardware implementations are unlikely to have full width SIMD ALUs. The 256 bits wide vectors will probably be processed as two halves of 128 bit, either occupying two (simple/integer) vector ALUs simultaneously, or one (complex/floating point) ALU for consecutive clock cycles.

Raw throughput will initially not be doubled. But future chip versions might upgrade the hardware to full width.


Intel's SIMD instruction sets have a few other conceptual limitations (lack of generic permutes and a few other processing primitives that require more operands), but fractals are usually embarrassingly parallel. So for our purposes here, AVX should pave the way for ever faster rendering.

Well, the processor of the Xbox360 has a few of these "horizontal" instructions, but they are more a convenience than a true addition to the SIMD paradigm. If an algorithm is massively data parallel, and has relatively weak data dependencies, then a resourceful programmer can usually find a data layout that fits the hardware. And when the data flow patterns are trickier, you typically need something more general, like a permute, to implement them.

At the moment it seems more likely that the GPU vendors will implement permute (and perhaps conditional split, I heard Nvidia calls it "warp reforming"), because they have more of an incentive to push their hardware to general purpose. Intel already has THE general purpose processors and there is less pressure to make the SIMD extensions more general as well.