Process explorer gpu9/20/2023 ![]() Actual results: GPU-process grew to 1.3 gb of working set (Process Explorer). Works for some classes of problems but not all. I hope that anonymized memory report would help. In Java that can only run on a single CPU, in the scala and openCL examples it runs in parallel because we haven't said how to iterate, we left that to an underlying implementation and that implementation is going to run doStuff(i) in parallel because there are no interactions between the various lists of inputs and outputs. Process Explorer shows GPU activity on a per-process basis, but its not sortable, so you have to select a process and look at its properties to see what GPU impact it has (if any) but once you find the process, you can view its GPU usage and VRAM usage ( dedicated, shared and committed). In Scala we would write something likeĬompare both these approaches to standard Java/C style where we would be writing the actual loop: Its kind of like programming exclusively in map functions. I checked these results with various utilities, such as Task Manager, Resource Monitor, Sysinternals Process Explorer, GPU-Z and AMD System Monitor: WinZip's GPU usage was exactly zero I noted that CPU usage was instead bigger, so I suppose that, enabling OpenCL option, WinZip can simply use a better multi-thread algorithm. Instead what happens is you get indexes from the API and you only write the function for mapping input to output. Tools that have been used to visualize the computational resources are: SysInternals Process Explorer 274 and GPU-Z 275. What OpenCL does is change your functions such that you don't iterate. OpenCL can be run on a computer without a GPU at all. 1 Answer Sorted by: 21 +50 Dedicated GPU memory is basically the VRAM on-board the GPU System GPU memory is memory that the graphics card driver is using the GART ( Graphics Address Remapping Table) to store resources in system memory. I think that would be nice if other enthusiasts performed similar tests on different configurations and perhaps with other "GPU accelerated" programs. I found the maximum speed up with JPEG photos (250%), whereas the minimum with PCM audio (30%). Task Manager is enough to confirm that WinZip thread count is significantly bigger, sometimes more than double, with OpenCL code path. Some malicious programs use up CPU and GPU bandwidth for different purposes. I noted that CPU usage was instead bigger, so I suppose that, enabling OpenCL option, WinZip can simply use a better multi-thread algorithm. You dont want to stop a process like explorer.exe or winlogon.exe, unless. I checked these results with various utilities, such as Task Manager, Resource Monitor, Sysinternals Process Explorer, GPU-Z and AMD System Monitor: WinZip's GPU usage was exactly zero! ![]() I tried to verify the OpenCL speed up with a supported discrete video card (HD 5830 with Catalyst 12.4 WHQL): the compression time was indeed reduced (with better speed up than Llano/Trinity), but global GPU usage was about zero (with GPU/memory clocks fixed at idle values). In Trinity review, I found very interesting that the latest WinZip version was in the growing list of GPU accelerated consumer applications.
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