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11. Re: bits Jan 10, 2014, 01:26 mag
 
harlock wrote on Jan 9, 2014, 23:29:
mag wrote on Jan 9, 2014, 22:46:
and it could completely come to pass that this is completely ignored by developers since it doesn't work for Intel or nvidia.

To reach beyond mere niche adoption, it is essential to provide a deployment path beyond the realm of any single hardware vendor. The ultimate goal for software developers is “write once, run everywhere” which requires a unified install-base across all platforms and devices. This is the HSA vision. Thus, the HSA Foundation (HSAF) was formed as an open industry standards body to unify the computing industry around a common approach.The founding members of HSA are: AMD, ARM, Imagination Technologies, MediaTek, Texas Instruments, Samsung Electronics and Qualcomm


that doesnt sound "completely ignored" to me... and im not sure where you get the idea it wont work with intel - read the link if you really want to know more

I like AMD. I want this to succeed. I haven't purchased a desktop Intel processor since... the p166MMX. I'm just being realistic. It is an enormous hurdle to make this completely programmer-agnostic. You have to write a compiler that can intelligently offload massively-parallelizable calculations to the GPU, and that is ridiculously hard, or else it'd have been done already. As is, they're presenting it as 'extensions' to C++, and it is still going to require programmers to intentionally write things in a way that will be able to take advantage of it.

If 90% of the target market (e.g. desktop/laptop/actual computers running Windows, MacOS, or Linux) is Intel, you're probably not going to completely change the way you code to make stuff faster on AMD.
 
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