Aparapi Mandelbrot Explorer

changed the description

Looks good to me. I will run it one last time locally to make sure it still works then approve it if its good.

approved this merge request

When I run this it seems to produce an error, then claim it is falling back to an AMD GPU (one of my graphics cards) but when running is very slow and appears to not put any load on my graphics card and all the load on my CPU.. GPU stays near 1% utilization where CPU quickly spikes to 100% as I drill down.

I think it would help if we added the ability to select the computer source...

Enter your selection, or q/Q to quit: 37
Aparapi Fractals - canvas : 768x768 - max_iterations : 512 

Aparapi Fractals - canvas : 1210x1480 - max_iterations : 512 
Aparapi Fractals - canvas : 1210x1480 - max_iterations : 512 
AfKernel, devices={AMD<GPU>|AMD<GPU>|AMD<GPU>|AMD<GPU>|Java Alternative Algorithm|Java Thread Pool}
Device 139860715622976
  vendor = Advanced Micro Devices, Inc.
  type:GPU
  maxComputeUnits=64
  maxWorkItemDimensions=3
  maxWorkItemSizes={1024, 1024, 1024}
  maxWorkWorkGroupSize=256
  globalMemSize=17163091968
  localMemSize=65536

double-click : recenter
mouse wheel  : zoom
mouse drag   : move

Nov 03, 2020 6:15:34 PM com.aparapi.internal.kernel.KernelRunner fallBackToNextDevice
WARNING: Device failed for AfKernel, devices={AMD<GPU>|AMD<GPU>|AMD<GPU>|AMD<GPU>|Java Alternative Algorithm|Java Thread Pool}: goto -> 0059
com.aparapi.internal.exception.CodeGenException: goto -> 0059
	at com.aparapi.internal.writer.BlockWriter.writeInstruction(BlockWriter.java:751)
	at com.aparapi.internal.writer.KernelWriter.writeInstruction(KernelWriter.java:780)
	at com.aparapi.internal.writer.BlockWriter.writeSequence(BlockWriter.java:299)
	at com.aparapi.internal.writer.BlockWriter.writeBlock(BlockWriter.java:323)
	at com.aparapi.internal.writer.BlockWriter.writeMethodBody(BlockWriter.java:873)
	at com.aparapi.internal.writer.KernelWriter.write(KernelWriter.java:738)
	at com.aparapi.internal.writer.KernelWriter.writeToString(KernelWriter.java:792)
	at com.aparapi.internal.kernel.KernelRunner.executeInternalInner(KernelRunner.java:1535)
	at com.aparapi.internal.kernel.KernelRunner.executeInternalOuter(KernelRunner.java:1383)
	at com.aparapi.internal.kernel.KernelRunner.execute(KernelRunner.java:1374)
	at com.aparapi.Kernel.execute(Kernel.java:2897)
	at com.aparapi.Kernel.execute(Kernel.java:2854)
	at com.aparapi.Kernel.execute(Kernel.java:2794)
	at com.aparapi.examples.mandel.AfMain.refresh(AfMain.java:128)
	at com.aparapi.examples.mandel.AfGUI$2.componentResized(AfGUI.java:107)
	at java.desktop/java.awt.AWTEventMulticaster.componentResized(AWTEventMulticaster.java:167)
	at java.desktop/java.awt.Component.processComponentEvent(Component.java:6462)
	at java.desktop/java.awt.Component.processEvent(Component.java:6416)
	at java.desktop/java.awt.Container.processEvent(Container.java:2263)
	at java.desktop/java.awt.Window.processEvent(Window.java:2041)
	at java.desktop/java.awt.Component.dispatchEventImpl(Component.java:5012)
	at java.desktop/java.awt.Container.dispatchEventImpl(Container.java:2321)
	at java.desktop/java.awt.Window.dispatchEventImpl(Window.java:2764)
	at java.desktop/java.awt.Component.dispatchEvent(Component.java:4844)
	at java.desktop/java.awt.EventQueue.dispatchEventImpl(EventQueue.java:772)
	at java.desktop/java.awt.EventQueue$4.run(EventQueue.java:721)
	at java.desktop/java.awt.EventQueue$4.run(EventQueue.java:715)
	at java.base/java.security.AccessController.doPrivileged(AccessController.java:391)
	at java.base/java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:85)
	at java.base/java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:95)
	at java.desktop/java.awt.EventQueue$5.run(EventQueue.java:745)
	at java.desktop/java.awt.EventQueue$5.run(EventQueue.java:743)
	at java.base/java.security.AccessController.doPrivileged(AccessController.java:391)
	at java.base/java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:85)
	at java.desktop/java.awt.EventQueue.dispatchEvent(EventQueue.java:742)
	at java.desktop/java.awt.EventDispatchThread.pumpOneEventForFilters(EventDispatchThread.java:203)
	at java.desktop/java.awt.EventDispatchThread.pumpEventsForFilter(EventDispatchThread.java:124)
	at java.desktop/java.awt.EventDispatchThread.pumpEventsForHierarchy(EventDispatchThread.java:113)
	at java.desktop/java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:109)
	at java.desktop/java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:101)
	at java.desktop/java.awt.EventDispatchThread.run(EventDispatchThread.java:90)
Nov 03, 2020 6:15:34 PM com.aparapi.internal.kernel.KernelRunner fallBackToNextDevice
WARNING: Trying next device: AMD<GPU>
Mandelbrot -2.000000000000,-2.446280991736 2.000000000000,2.446280991736 - Iterations :        512 - Elapsed : 402 ms 
Mandelbrot -2.000000000000,-2.446280991736 2.000000000000,2.446280991736 - Iterations :        512 - Elapsed : 345 ms 

Enter your selection, or q/Q to quit: Invalid selection.

Enter your selection, or q/Q to quit: Aparapi Fractals - canvas : 1210x1480 - max_iterations : 512 
Mandelbrot -2.000000000000,-2.446280991736 2.000000000000,2.446280991736 - Iterations :        512 - Elapsed : 14 ms 
Mandelbrot -1.970247933884,-2.436363636364 2.029752066116,2.456198347107 - Iterations :        512 - Elapsed : 15 ms 
Mandelbrot -1.771900826446,-2.314049586777 2.228099173554,2.578512396694 - Iterations :        512 - Elapsed : 17 ms 
Mandelbrot -1.755371900826,-2.208264462810 2.244628099174,2.684297520661 - Iterations :        512 - Elapsed : 15 ms

Truncated log...

Mandelbrot -0.087937055231,0.871903102316 -0.087913118739,0.871932380008 - Iterations :       3235 - Elapsed : 337 ms 
Mandelbrot -0.087937173924,0.871903023187 -0.087913237433,0.871932300879 - Iterations :       3235 - Elapsed : 337 ms 
^C
Profiles by Kernel Subclass (mean elapsed times in milliseconds)

Device               Count    CLASS_MODEL_BUILT          INIT_JNI  OPENCL_GENERATED   OPENCL_COMPILED   PREPARE_EXECUTE          EXECUTED  Total
----------------- [[ AfKernel ]] ---------------------------------------------------------------------------------------------------
AMD<GPU>             1                  256.458             0.184             9.508             0.000             0.000           175.781  441.931
AMD<GPU>             1                    0.000             0.050             0.091             0.000             0.000           154.417  154.559
AMD<GPU>             1                    0.000             0.018             0.048             0.000             0.000           154.247  154.312
AMD<GPU>             1                    0.000             0.019             0.064             0.000             0.000           154.071  154.154
Java Alternative Alg 1                    0.000             0.000             0.000             0.000             0.028           153.944  153.972
Java Thread Pool     224                  0.000             0.000             0.000             0.000             0.007            95.996  96.003

unapproved this merge request

Hi, I never had this kind of exception. I'm still working on the code and added some functionalities, I run It hundreds of times, but I never had that problem. So, It's not easy for me to reproduce the error.
Also, I'm empirically absolute sure It's only on GPU. It's very very fast and the final log is only on GPU usage. The Aparapi code is very simple. What can It be?
I'm on windows10 1 GPU Nvidia 1650 SUPER, CPU AMD 3700x
Shoul I try to add my old AMD GPU to my PC?

I will show you the new version with a small benchmark test.

For sure, we can not merge this one.

thx, BR

and that's my log :

Aparapi Fractals - canvas : 768x768 - max_iterations : 512 
Aparapi Fractals - canvas : 768x768 - max_iterations : 512 
Aparapi Fractals - canvas : 768x768 - max_iterations : 512 
AfKernel, devices={NVIDIA<GPU>|Java Alternative Algorithm|Java Thread Pool}
Device 1157773856
  vendor = NVIDIA Corporation
  type:GPU
  maxComputeUnits=20
  maxWorkItemDimensions=3
  maxWorkItemSizes={1024, 1024, 64}
  maxWorkWorkGroupSize=1024
  globalMemSize=4294967296
  localMemSize=49152

double-click : recenter
mouse wheel  : zoom
mouse drag   : move

Mandelbrot -2.000000000000,-2.000000000000 2.000000000000,2.000000000000 - Iterations :        512 - Elapsed : 414 ms 
Mandelbrot -2.005208333333,-2.000000000000 1.994791666667,2.000000000000 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.067708333333,-2.000000000000 1.932291666667,2.000000000000 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.145833333333,-2.015625000000 1.854166666667,1.984375000000 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.208333333333,-2.031250000000 1.791666666667,1.968750000000 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.250000000000,-2.041666666667 1.750000000000,1.958333333333 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.265625000000,-2.052083333333 1.734375000000,1.947916666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.276041666667,-2.057291666667 1.723958333333,1.942708333333 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.312500000000,-2.067708333333 1.687500000000,1.932291666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.354166666667,-2.083333333333 1.645833333333,1.916666666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.359375000000,-2.083333333333 1.640625000000,1.916666666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.369791666667,-2.083333333333 1.630208333333,1.916666666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.375000000000,-2.083333333333 1.625000000000,1.916666666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.380208333333,-2.083333333333 1.619791666667,1.916666666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.385416666667,-2.083333333333 1.614583333333,1.916666666667 - Iterations :        512 - Elapsed : 7 ms 
Mandelbrot -2.390625000000,-2.083333333333 1.609375000000,1.916666666667 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.395833333333,-2.088541666667 1.604166666667,1.911458333333 - Iterations :        512 - Elapsed : 5 ms 
Mandelbrot -2.401041666667,-2.088541666667 1.598958333333,1.911458333333 - Iterations :        512 - Elapsed : 5 ms 

Profiles by Kernel Subclass (mean elapsed times in milliseconds)

Device               Count    CLASS_MODEL_BUILT          INIT_JNI  OPENCL_GENERATED   OPENCL_COMPILED   PREPARE_EXECUTE          EXECUTED  Total
----------------- [[ AfKernel ]] ---------------------------------------------------------------------------------------------------
NVIDIA<GPU>          18                  13,216             7,677             0,370             0,151             0,016             5,803  27,233

I think your problem can be here :

Aparapi Fractals - canvas : 768x768 - max_iterations : 512 
Aparapi Fractals - canvas : 1210x1480 - max_iterations : 512 
Aparapi Fractals - canvas : 1210x1480 - max_iterations : 512

you had a resize of the canvas before starting, I'm investigating the code.

I'll let you know, but probably I'll show a new version.

thx