I apologize in advance for asking the following questions because they are not directly related to pyopencl. Also, I realize opinions can be very diverse but I think you all might be able to help me. I am planning on purchasing a new laptop to have for programming at home. I am currently using a workstation with an NVIDIA 780 TI while at work. I have been able to get my pyopencl code to run at nearly the same speed as my CUDA code on this hardware. I have tried running the pyopencl code on an AMD FirePro V4800 and see serious speed degradation. According to the AMD profiler, the bottleneck is the global add. Also, a few websites suggest utilizing float4's would increase the speed, but programming float4s in this embarrassingly parallel Monte Carlo code is impractical due to branching. Further investigation using the old CompuBench website (early 2014 ish) confirmed the global addition on anything except NVIDIA was very slow. That was nearly 2 years ago. The compubench website no longer lists global add as an evaluation. So, in your experience is this still the case, that anything except Nvidia will be slow at global additions? Or have AMD and Intel "caught up"? I cannot find any laptops spec'd exactly the way I want, but the 2015 MacBook Pro is close. I just don't want to buy one and run the code and see it also suffers a terrible loss of speed. Finally, I noticed on the compubench website that the NVIDIA GTX 980M is equal or better than the GTX 780 TI in nearly all tests. If you have this hardware, can you confirm this with your own code? I can run some tests on my computer if someone has a 980M they would be willing to give me numbers on.
Again, I apologize for being off topic, private messages might be best, and I appreciate your help. Thanks Reese Joe Reese Haywood, Ph.D., DABR Medical Physicist Johnson Family Cancer Center Mercy Health Muskegon 1440 E. Sherman Blvd, Suite 300 Muskegon, MI 49444 Phone: 231-672-2019 Email: [email protected] Confidentiality Notice: This e-mail, including any attachments is the property of Trinity Health and is intended for the sole use of the intended recipient(s). It may contain information that is privileged and confidential. Any unauthorized review, use, disclosure, or distribution is prohibited. If you are not the intended recipient, please delete this message, and reply to the sender regarding the error in a separate email.
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