If you want a general purpose shader, it's not very different of an
array of RISC cpus with no memory coherency ?

To raise effisciency, you maybe have to use a LIW design to have the
possiblity to use the big FPU on every cycle. Then you need complexe
load/store unit that use complexe adressing scheme to avoid loosing
time in 2D access. You also need enough register to never use RAM for
temporary variable, and you don't have the task switch problem of cpu.

To help on defining an instruction set :
* orc instruction should be studied http://code.entropywave.com/orc/
(it's a generic assembler for any SIMD instruction set)
* the extension of SPARC V9 for the super computer of Fujitsu, it's
mainly SIMD, but have some good idea like speed up polynomial calculus
(polynomial are used to approximate any function)

2012/5/30 Timothy Normand Miller <[email protected]>:
> To your list, I can add memory addresses, address calculations, and 
> coordinates.
>
> Do we need an integer multiply?  We'll already have a multiplier block
> for float, and we can route integers through that, but that still
> means extra logic in the pipeline.
>
> We'll also need instructions for converting to/from float.
>
>
> On Wed, May 30, 2012 at 2:43 PM,  <[email protected]> wrote:
>> On Wed, 30 May 2012 14:26:56 -0400, Timothy Normand Miller wrote:
>>>
>>> Someone pointed out to me that integer ops don't have much utility in
>>> GPUs.  Memory may be in integer form, but ARGB in 8888 format, for
>>> instance, would get converted to/from vec4 format (or our equivalent)
>>> as part of the memory access.  If we have no need for integer ops,
>>> that would simplify the architecture.  So can anyone make any
>>> arguments as to why it would be strictly necessary to support integer
>>> operations?
>>
>>
>> loop counters ?
>> compute array indices ?
>> helpful for crypto acceleration ?
>> (we're speaking about making an energy-efficient
>> system so if it means reusing it for other common
>> tasks, great)
>>
>> just wondering.
>>
>>
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>
>
>
> --
> Timothy Normand Miller
> http://www.cse.ohio-state.edu/~millerti
> Open Graphics Project
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