DAMNIT!!! I was fooled again by the marketing term "Open". Turns out that according to
http://www.khronos.org/opencl, the Open just means "OpenCL is the first open, royalty-free standard for cross-platform"...nothing to do with implementation. Oh well... I have this nice Nvidia GeForce 9800 GX2...not doing anything...could be generating bitcoin
Do you have a link to the older binaries?
Actually, Mesa has a very early non-functional prototype that uses Gallium. I suspect in the nest 2-3 years you can run my miner on Radeon 5xxx hardware with a fully open source stack.
However, as long as Nvidia continues to unofficially threaten to sue projects like Nouveau for trying to support Nvidia on the new Gallium stack, Nvidia is probably going to go bankrupt before they turn around and quit pissing off customers.
DAMNIT!!! I swear! I will never again work at a pro-IP tech corporation in any manner!
Hey man, an open cross platform royalty free API is very important. Imagine gaming if all we had was D3D.... PC gaming would be dead. OpenGL is the only thing keeping it alive IMO.
Agreed. I'm sorry, I didn't mean to imply that I was against industry members getting together to produce and promote open, cross-platform, royality-free APIs. That is very important, and is indeed something that I encourage. I was simply remarking that I was
fooled into thinking that it included an open-source implementation...since "Open" has been thrown around as a Orwellian marketing term by some organizations, even though it isn't really open.
As for owner binaries, I don't keep those around; you can use git to pull older revisions in, but I don't recommend it because they may end up being subtly broken because I've fixed bugs since then.
OK. I'll try that.
Until I fix Nvidia (if there is any fix at all), just buy a new video card. Geforces mine very slowly, about 3x slower per watt, and maybe 4x slower per dollar depending on the card. Go buy a Radeon 5xxx, you'll be happier.
Nvidia actually gave me this GeForce 9800 Gx2 as a consolation prize for a GPGPU research proposal I submitted to Nvidia, but was rejected. So I have this big fancy GPGPU which I haven't really been using. Oh well.
