http://www.k-wave.org/forum/topic/necessary-gpus-or-other-ways-for-more-than-226-grid-points Support for the k-Wave MATLAB toolbox en-US Tue, 12 May 2026 23:30:34 +0000 http://bbpress.org/?v=1.0.2 q http://www.k-wave.org/forum/search.php http://www.k-wave.org/forum/topic/necessary-gpus-or-other-ways-for-more-than-226-grid-points#post-6587 Wed, 26 Sep 2018 14:27:42 +0000 Jiri Jaros 6587@http://www.k-wave.org/forum/ <p>Hi qwen12,<br /> the code will work on NVIDIA quadro GV100. It might be necessary to recompile the code to support this GPU, but that should be trivial. 2^27 should fit within 24GBs.</p> <p>If you had a cluster of CPUs connected by a fast network, you could also try our distributed code which I can send to you. To beat a single GV100 you'd need at least 128 CPU cores.</p> <p>Best,<br /> Jiri </p> http://www.k-wave.org/forum/topic/necessary-gpus-or-other-ways-for-more-than-226-grid-points#post-6585 Tue, 25 Sep 2018 17:45:46 +0000 qwen12 6585@http://www.k-wave.org/forum/ <p>Hello!</p> <p>I knew that 2^26 grid size is the limitation of k-Wave GPU simulation due to the memory boundary, when we use 8GB or 12GB GPU such as TITAN X.<br /> However, I want to find the way to exceed this limitation (equal or more than 2^27). I thought using CPU is one of the way, but it seems to take a lot of time. The second way I thought was to buy 24 or 32 GB GPU (like NVIDIA quadro GV100 or m6000), but I don't know running k-Wave is possible with those workstation GPUs - quardo series. I will be really happy if someone helps me to find out the solutions :)</p> <p>Thank you </p>