A sub-device can have just one compute unit.ĮDIT: As was brought to my attention in the comments box by AMD GPUs don't support device fission as of May 2015. However this probably won't give you very consistent results.ģ) Finally, you can also partition your device into multiple sub-devices, and then run the kernel on one these sub-devices. Using, for example, a local work size of 256, this means you're only going to use two work groups, and thus two GPU compute units (512 / 256 = 2).Ģ) Another way is to test your kernel while there is another very long kernel running in the background. SystemCompute exposes another case where the R9 285 comes up short compared to the R9 280, though only slightly. there are 4096 work units to process), reduce it to 512 and make each kernel instance process 8 work units (512 * 8 = 4096) using an outward for loop. I believe I should be getting around 105k PMKs/s Experimenting with BT5 I only got around 51k. A couple questions: - How do I get the latest ATI drivers installed for my R9 280 - How do I get Pyrit working in OpenCL I have an ATI R9 280 and I want to get Pyrit working at full speed. For example if your global work size is currently 4096 (i.e. So I just dumped BT5 and installed Kali Linux 1.0.9 32bit.

Considering, in an abstract way, that your kernels currently process one work unit:ġ) The first way is to reduce the global work size, and add an outward loop to the kernel so that each kernel instance processes more than one work unit. I wish them luck.You have three two ways of doing this, taking into account that you only want to run the kernel once.

TPUs, multi level synchronization, and what seems to be the end of warp divergence (which also cures lockless algorithm problems) are some of the biggest things they have to work on now. AMD looking into issues in Catalyst 14. Will have to see Vega 10 and any other surprises they have waiting, if any. We finally get our hands on the R9 280, a rework of the HD 7950 Boost with a new low price. I'm a huge fan of this work but the business case is still difficult. But they're building a solid platform to fight from. Unfortunately they still got their work cut out for themselves and they'll have to be pioneers and carry OpenCL into a competitive age with where CUDA 9 is going. This allows you to configure multiple monitors in order to create a more immersive gaming experience, such as having a wider field of view. Even in raw cuda enhancements hip already needs some work, but I think OpenCL is the most screwed by the disparity of feature support. The graphics card supports multi-display technology. NVidia really made the game much harder hardware wise and especially software wise as we saw in GTC last week. The complete stack is now opened, from kernel driver (amdgpu) to OpenGL 4.5 (radeonsi), Vulkan (radv), DirectX9 (galliumnine) rendering and OpenCL (rocm) computing.No, I'm afraid competition doesn't end. So, there is definitely no one reason to buy something else than an AMD discrete GPU if your workstation is running Linux:

Amr stak amd opencl driver r9 280