Just adds to the messy impression of that OpenCL situation I gained with nVidia: Strange enough, though, since the comprehensive Khronos conformant products list doesnt mention the GF116 or family members at all. In the end the info surfaced usually lacks detail or is devoid of key data one has to have to localize where standing at.Īccording to public sites (like two above), the GF116 GTX550TI supports OpenCL1.1 and yes, in fact, it does so, as I managed to get some code executing on it even with PyOpenCL2014.1 (this time i had to rebuild the native part against BOOST and nVidias sources, using MinGW). Totally misleading, and, since seemingly the default case: intention ? Valued users have to plow through that doc and usually end up seeking “OpenCL” using CTRL-F. Secondly, if the term is found, the link leads either nowhere or into a massive CUDA document filled with an abundance of anything but OpenCL related chapters / paragraphs. Now, everything were fine if it wasnt for nVidia’s somehow hard-to-reconstruct OpenCL support-notsupport policy.įirst of all, tech specs and OpenCL as a search term as such are incredibly hard to find on whatever nVidia website or branch thereof.
Right now my home PC sports a somewhat outdated GF116 powered GTX550 Ti featuring some neat 3GB DDR3 RAM (but the 1G DDR5 mentioned below):Ībsolutely nice, smooth, fast enough for what gaming I do every now and then and supposedly sufficiently equipped (192 cores and 3Gigs RAM, c’mon) to get a neat OpenCL snippet kicked off and compute what I usually develop primarily on my corporate laptop (again, intel platform) and which finally is going to end up in an embedded device anyway, thus both, Intel and nVidia platforms were makeshifts only, albeit useful ones.ĭue to portability, CUDA is a no go, for the targetted embedded platform doesnt feature it.
Yes, I belong to those who have been conquered by nVidia by the time they acquired 3DFX :) - and since was loyal !!!īut currently Im seriously thinking of getting to embark to new lands and sail in with AMD’s harbor maybe. My corporate laptop runs an Intel HD4000 Ivy-Bridge lower end device, yet it’s at least OpenCL 1.2 compliant and munches perfectly smooth even on that niche-like PyOpenCL package without having to rebuild the native part of that widely used and pretty matured library against BOOST and Intels SDK sources.įor like a decade it’s been that every two years I used to purchase a new nVidia (!) graphics card for my home computer - so far the “pick algo” has been driven and triggerd mainly by gaming stimuli :). In good old traidition of, and with, those individuals who dared so much as to speak out the forbidden words in this Cuda-sacred forum: >
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