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Syncleus
Nvidia RTX 3080 GPU not detected
Hi,
Aparapi is not detecting my gpu even though I have OpenCL installed. When I run these two lines:
Device device = Device.firstGPU();
Range range = device.createRange(size);
It gives me null pointer exception which proves that GPU is not detected.
GPU: Nvidia RTX 3080 OpenCL version: 3.0 Operating System: Pop OS (Ubuntu)
CudaSquare.java:
/*
* Copyright (C) 2021 - present by EY LLP. and EYQP team.
* Any change of "copy" of code without author permission is not allowed.
* This is NOT a open source project, DONOT copy any Code.
* For QuantLib please see LICENSCE.TXT provided.
*/
package cudaProgramming.parallel;
import com.aparapi.Kernel;
import com.aparapi.Range;
import com.aparapi.device.Device;
/**
* An example Aparapi application which computes and displays squares of a set
* of 512 input values. While executing on GPU using Aparpi framework, each
* square value is computed in a separate kernel invocation and can thus
* maximize performance by optimally utilizing all GPU computing units
*
* @author gfrost
* @version $Id: $Id
*/
public class CudaSquare {
/**
* <p>
* main.
* </p>
*
* @param _args an array of {@link java.lang.String} objects.
*/
public static void main(String[] _args) {
// loop must be multiple of 8 or 8 bit
final int size = 160;
/** Input float array for which square values need to be computed. */
final float[] values = new float[size];
/** Initialize input array. */
for (int i = 0; i < size; i++) {
values[i] = i;
}
/**
* Output array which will be populated with square values of corresponding
* input array elements.
*/
final float[] squares = new float[size];
/**
* Aparapi Kernel which computes squares of input array elements and populates
* them in corresponding elements of output array.
**/
Kernel kernel = new Kernel() {
@Override
public void run() {
int gid = getGlobalId();
squares[gid] = values[gid] * values[gid];
}
};
Device device = Device.firstGPU();
Range range = device.createRange(size);
// Execute Kernel.
kernel.execute(range);
// Report target execution mode: GPU or JTP (Java Thread Pool).
System.out.println("Device = " + kernel.getTargetDevice().getShortDescription());
// Display computed square values.
for (int i = 0; i < size; i++) {
System.out.printf("%6.0f %8.0f\n", values[i], squares[i]);
}
// Dispose Kernel resources.
kernel.dispose();
}
}
Output of /usr/bin/clinfo:
Number of platforms 1
Platform Name NVIDIA CUDA
Platform Vendor NVIDIA Corporation
Platform Version OpenCL 3.0 CUDA 11.7.89
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_device_uuid cl_khr_pci_bus_info cl_khr_external_semaphore cl_khr_external_memory cl_khr_external_semaphore_opaque_fd cl_khr_external_memory_opaque_fd
Platform Extensions with Version cl_khr_global_int32_base_atomics 0x400000 (1.0.0)
cl_khr_global_int32_extended_atomics 0x400000 (1.0.0)
cl_khr_local_int32_base_atomics 0x400000 (1.0.0)
cl_khr_local_int32_extended_atomics 0x400000 (1.0.0)
cl_khr_fp64 0x400000 (1.0.0)
cl_khr_3d_image_writes 0x400000 (1.0.0)
cl_khr_byte_addressable_store 0x400000 (1.0.0)
cl_khr_icd 0x400000 (1.0.0)
cl_khr_gl_sharing 0x400000 (1.0.0)
cl_nv_compiler_options 0x400000 (1.0.0)
cl_nv_device_attribute_query 0x400000 (1.0.0)
cl_nv_pragma_unroll 0x400000 (1.0.0)
cl_nv_copy_opts 0x400000 (1.0.0)
cl_nv_create_buffer 0x400000 (1.0.0)
cl_khr_int64_base_atomics 0x400000 (1.0.0)
cl_khr_int64_extended_atomics 0x400000 (1.0.0)
cl_khr_device_uuid 0x400000 (1.0.0)
cl_khr_pci_bus_info 0x400000 (1.0.0)
cl_khr_external_semaphore 0x9000 (0.9.0)
cl_khr_external_memory 0x9000 (0.9.0)
cl_khr_external_semaphore_opaque_fd 0x9000 (0.9.0)
cl_khr_external_memory_opaque_fd 0x9000 (0.9.0)
Platform Numeric Version 0xc00000 (3.0.0)
Platform Extensions function suffix NV
Platform Host timer resolution 0ns
Platform Name NVIDIA CUDA
Number of devices 1
Device Name NVIDIA GeForce RTX 3080 Laptop GPU
Device Vendor NVIDIA Corporation
Device Vendor ID 0x10de
Device Version OpenCL 3.0 CUDA
Device UUID 808d8c70-1aef-49f3-cc51-44aaea760720
Driver UUID 808d8c70-1aef-49f3-cc51-44aaea760720
Valid Device LUID No
Device LUID 6d69-637300000000
Device Node Mask 0
Device Numeric Version 0xc00000 (3.0.0)
Driver Version 515.48.07
Device OpenCL C Version OpenCL C 1.2
Device OpenCL C all versions OpenCL C 0x400000 (1.0.0)
OpenCL C 0x401000 (1.1.0)
OpenCL C 0x402000 (1.2.0)
OpenCL C 0xc00000 (3.0.0)
Device OpenCL C features __opencl_c_fp64 0xc00000 (3.0.0)
__opencl_c_images 0xc00000 (3.0.0)
__opencl_c_int64 0xc00000 (3.0.0)
__opencl_c_3d_image_writes 0xc00000 (3.0.0)
Latest comfornace test passed v2021-02-01-00
Device Type GPU
Device Topology (NV) PCI-E, 0000:01:00.0
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 48
Max clock frequency 1710MHz
Compute Capability (NV) 8.6
Device Partition (core)
Max number of sub-devices 1
Supported partition types None
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 1024x1024x64
Max work group size 1024
Preferred work group size multiple (device) 32
Preferred work group size multiple (kernel) 32
Warp size (NV) 32
Max sub-groups per work group 0
Preferred / native vector sizes
char 1 / 1
short 1 / 1
int 1 / 1
long 1 / 1
half 0 / 0 (n/a)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 64, Little-Endian
Global memory size 16908353536 (15.75GiB)
Error Correction support No
Max memory allocation 4227088384 (3.937GiB)
Unified memory for Host and Device No
Integrated memory (NV) No
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing No
Fine-grained system sharing No
Atomics No
Minimum alignment for any data type 128 bytes
Alignment of base address 4096 bits (512 bytes)
Preferred alignment for atomics
SVM 0 bytes
Global 0 bytes
Local 0 bytes
Atomic memory capabilities relaxed, work-group scope
Atomic fence capabilities relaxed, acquire/release, work-group scope
Max size for global variable 0
Preferred total size of global vars 0
Global Memory cache type Read/Write
Global Memory cache size 1376256 (1.312MiB)
Global Memory cache line size 128 bytes
Image support Yes
Max number of samplers per kernel 32
Max size for 1D images from buffer 268435456 pixels
Max 1D or 2D image array size 2048 images
Max 2D image size 32768x32768 pixels
Max 3D image size 16384x16384x16384 pixels
Max number of read image args 256
Max number of write image args 32
Max number of read/write image args 0
Pipe support No
Max number of pipe args 0
Max active pipe reservations 0
Max pipe packet size 0
Local memory type Local
Local memory size 49152 (48KiB)
Registers per block (NV) 65536
Max number of constant args 9
Max constant buffer size 65536 (64KiB)
Generic address space support No
Max size of kernel argument 4352 (4.25KiB)
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Device enqueue capabilities (n/a)
Queue properties (on device)
Out-of-order execution No
Profiling No
Preferred size 0
Max size 0
Max queues on device 0
Max events on device 0
Prefer user sync for interop No
Profiling timer resolution 1000ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
Non-uniform work-groups No
Work-group collective functions No
Sub-group independent forward progress No
Kernel execution timeout (NV) Yes
Concurrent copy and kernel execution (NV) Yes
Number of async copy engines 2
IL version (n/a)
ILs with version <printDeviceInfo:186: get CL_DEVICE_ILS_WITH_VERSION : error -30>
printf() buffer size 1048576 (1024KiB)
Built-in kernels (n/a)
Built-in kernels with version <printDeviceInfo:190: get CL_DEVICE_BUILT_IN_KERNELS_WITH_VERSION : error -30>
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_device_uuid cl_khr_pci_bus_info cl_khr_external_semaphore cl_khr_external_memory cl_khr_external_semaphore_opaque_fd cl_khr_external_memory_opaque_fd
Device Extensions with Version cl_khr_global_int32_base_atomics 0x400000 (1.0.0)
cl_khr_global_int32_extended_atomics 0x400000 (1.0.0)
cl_khr_local_int32_base_atomics 0x400000 (1.0.0)
cl_khr_local_int32_extended_atomics 0x400000 (1.0.0)
cl_khr_fp64 0x400000 (1.0.0)
cl_khr_3d_image_writes 0x400000 (1.0.0)
cl_khr_byte_addressable_store 0x400000 (1.0.0)
cl_khr_icd 0x400000 (1.0.0)
cl_khr_gl_sharing 0x400000 (1.0.0)
cl_nv_compiler_options 0x400000 (1.0.0)
cl_nv_device_attribute_query 0x400000 (1.0.0)
cl_nv_pragma_unroll 0x400000 (1.0.0)
cl_nv_copy_opts 0x400000 (1.0.0)
cl_nv_create_buffer 0x400000 (1.0.0)
cl_khr_int64_base_atomics 0x400000 (1.0.0)
cl_khr_int64_extended_atomics 0x400000 (1.0.0)
cl_khr_device_uuid 0x400000 (1.0.0)
cl_khr_pci_bus_info 0x400000 (1.0.0)
cl_khr_external_semaphore 0x9000 (0.9.0)
cl_khr_external_memory 0x9000 (0.9.0)
cl_khr_external_semaphore_opaque_fd 0x9000 (0.9.0)
cl_khr_external_memory_opaque_fd 0x9000 (0.9.0)
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [NV]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) Invalid device type for platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
Raunak....
I looked at the Aparapi code here
https://github.com/Syncleus/aparapi-native/blob/bdfdb0b45c8a5105907500ec5cee701d92e35a19/src/cpp/invoke/OpenCLJNI.cpp#L472
Even though you have OpenCL 3.0 you should still see the message/warning
"Aparapi is running on an untested OpenCL platform version"
Have you built an OpenCL native program on this machine and had it actually execute?
Do you have experience compiling C++ code on Linux from cmake?
@grfrost I have experience compiling with cmake on Linux.
Can you please give me the instructions to install supported version of OpenCL?
You probably cannot get an earlier version.
But aparapi should work on yours.
You could pull the 3 maven repos and build yourself. That way we can add diagnostics in the native code to see what is going wrong.
Back top my earlier question. Have you built (and ran!) your own OpenCL C/Cpp code on this machine. I want to make sure all the shared libs are in place.
@grfrost No I have not ran my own OpenCL code. Do you have instructions where I can do that.
Also, what are the 3 maven repos you are asking me to build.
Thanks for your help.
Ok I just created a public github repo.
Can you clone this and build (cmake) and see if the build and runjava.sh script work for you?
https://github.com/grfrost/javacltest
On Tue, Jun 28, 2022 at 6:02 PM Raunak Singh @.***> wrote:
@grfrost https://github.com/grfrost No I have not ran my own OpenCL code. Do you have instructions where I can do that.
Also, what are the 3 maven repos you are asking me to build.
Thanks for your help.
— Reply to this email directly, view it on GitHub https://github.com/Syncleus/aparapi/issues/168#issuecomment-1168993074, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABBKEN4M2NDCPS7ICPHGKETVRMVZRANCNFSM5Z4VNVOQ . You are receiving this because you were mentioned.Message ID: @.***>
@grfrost Thanks for the repository link. I ran it and got this output from bash runjava.sh:
There is 1 platform
platform 0{
CL_PLATFORM_VENDOR.."NVIDIA Corporation"
CL_PLATFORM_VERSION."OpenCL 3.0 CUDA 11.7.89"
CL_PLATFORM_NAME...."NVIDIA CUDA"
Platform 0 has 1 device{
Device 0{
CL_DEVICE_TYPE..................... GPU (0x0)
CL_DEVICE_MAX_COMPUTE_UNITS........ 48
CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS. 3
dim[0] = 1024
dim[1] = 1024
dim[2] = 64
CL_DEVICE_MAX_WORK_GROUP_SIZE...... 1024
CL_DEVICE_MAX_MEM_ALLOC_SIZE....... 4227088384
CL_DEVICE_GLOBAL_MEM_SIZE.......... 16908353536
CL_DEVICE_LOCAL_MEM_SIZE........... 49152
CL_DEVICE_PROFILE.................. FULL_PROFILE
CL_DEVICE_VERSION.................. OpenCL 3.0 CUDA
CL_DRIVER_VERSION.................. 515.48.07
CL_DEVICE_OPENCL_C_VERSION......... OpenCL C 1.2
CL_DEVICE_NAME..................... NVIDIA GeForce RTX 3080 Laptop GPU
CL_DEVICE_EXTENSIONS............... cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_device_uuid cl_khr_pci_bus_info cl_khr_external_semaphore cl_khr_external_memory cl_khr_external_semaphore_opaque_fd cl_khr_external_memory_opaque_fd
CL_DEVICE_BUILT_IN_KERNELS.........
}
}
}
OK so java can call jni and opencl on this machine, Aparapi should run just fine.
I suspect that the issue is that for some reason on this platform the OpenCL shared lib is not on the default path/LD_LIBRARY_PATH
We need to find libOpenCL and either add it to LD_LIBRARY_PATH or tell java where this library is when we run Aparapi.
So first lets find your libOpenCL.so
We will use linux ldd command to query the dynamic libraries loaded by your clinfo tool and note the directory where libOpenCL.so is
$ ldd /usr/bin/clinfo linux-vdso.so.1 (0x00007ffd439b4000) libOpenCL.so.1 => /opt/rocm/lib/libOpenCL.so.1 (0x00007f504df13000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f504def2000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f504dd00000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f504dcdd000) /lib64/ld-linux-x86-64.so.2 (0x00007f504e139000)
So my libOpenCL.so (mine is from AMD) is in /opt/rocm/lib
Once you have located libOpenCL you need to add that dir to to your java command line using -Djava.library.path=/opt/rocm/lib (or whetever your path is)
$ java -Djava.library.path=/opt/rocm/lib ... other Aparapi options
Does that make sense?
On Thu, Jun 30, 2022 at 10:03 PM Raunak Singh @.***> wrote:
@grfrost https://github.com/grfrost Thanks for the repository link. I ran it and got this output from bash runjava.sh:
There is 1 platform platform 0{ CL_PLATFORM_VENDOR.."NVIDIA Corporation" CL_PLATFORM_VERSION."OpenCL 3.0 CUDA 11.7.89" CL_PLATFORM_NAME...."NVIDIA CUDA" Platform 0 has 1 device{ Device 0{ CL_DEVICE_TYPE..................... GPU (0x0) CL_DEVICE_MAX_COMPUTE_UNITS........ 48 CL_DEVICE_MAX_WORK_ITEM_DIMENSIONS. 3 dim[0] = 1024 dim[1] = 1024 dim[2] = 64 CL_DEVICE_MAX_WORK_GROUP_SIZE...... 1024 CL_DEVICE_MAX_MEM_ALLOC_SIZE....... 4227088384 CL_DEVICE_GLOBAL_MEM_SIZE.......... 16908353536 CL_DEVICE_LOCAL_MEM_SIZE........... 49152 CL_DEVICE_PROFILE.................. FULL_PROFILE CL_DEVICE_VERSION.................. OpenCL 3.0 CUDA CL_DRIVER_VERSION.................. 515.48.07 CL_DEVICE_OPENCL_C_VERSION......... OpenCL C 1.2 CL_DEVICE_NAME..................... NVIDIA GeForce RTX 3080 Laptop GPU CL_DEVICE_EXTENSIONS............... cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_device_uuid cl_khr_pci_bus_info cl_khr_external_semaphore cl_khr_external_memory cl_khr_external_semaphore_opaque_fd cl_khr_external_memory_opaque_fd CL_DEVICE_BUILT_IN_KERNELS......... } } }
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here is the output
(base) rauna@pop-os:~$ ldd /usr/bin/clinfo linux-vdso.so.1 (0x00007ffd9fbce000) libOpenCL.so.1 => /usr/local/cuda-11.7/lib64/libOpenCL.so.1 (0x00007fe000600000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fe0008f0000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fe0003d8000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fe0008eb000) /lib64/ld-linux-x86-64.so.2 (0x00007fe000939000)
@grfrost after passing the command line argument I am stil getting the same error:
/home/rauna/.jdks/openjdk-18.0.1.1/bin/java -javaagent:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/lib/idea_rt.jar=42963:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/bin -Dfile.encoding=UTF-8 -classpath /home/rauna/Documents/cudaProgramming/target/classes:/home/rauna/.m2/repository/com/aparapi/aparapi/2.0.0/aparapi-2.0.0.jar:/home/rauna/.m2/repository/com/aparapi/aparapi-jni/1.4.2/aparapi-jni-1.4.2.jar:/home/rauna/.m2/repository/org/apache/bcel/bcel/6.4.1/bcel-6.4.1.jar:/home/rauna/.m2/repository/org/scala-lang/scala-library/2.13.1/scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare -Djava.library.path=/usr/local/cuda-11.7/lib64/
Exception in thread "main" java.lang.NullPointerException: Cannot invoke "com.aparapi.device.Device.createRange(int)" because "device" is null
at cudaProgramming.parallel.CudaSquare.main(CudaSquare.java:62)
Process finished with exit code 1
I replied to your email with pictures. ;) in case you don't get that.
I think you added -Djava.library.path=...... AFTER your class name
-Dxxxxx options are intended for the JVM not params to your code
So they appear before the class you are using
You have /home/rauna/.jdks/openjdk-18.0.1.1/bin/java ...../scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare -Djava.library.path=/usr/local/cuda-11.7/lib64/
You want /home/rauna/.jdks/openjdk-18.0.1.1/bin/java ...../scala-library-2.13.1.jar -Djava.library.path=/usr/local/cuda-11.7/lib64/ cudaProgramming.parallel.CudaSquare
In intellij don't add -Dxxxx as a program argument add it as a jvmoption
So in run config
image.png
Click on modify options and then vmoptions
image.png
Then in the new 'VM Options' text field
image.png Add -Djava.library.path=/usr/local/cuda-11.7/lib64/ image.png
That should do it ;). hopefully
@grfrost now I added the java argument to the JVM as you said but I am stil getting the same error. please assist:
/home/rauna/.jdks/openjdk-18.0.1.1/bin/java -Djava.library.path=/usr/local/cuda-11.7/lib64/ -javaagent:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/lib/idea_rt.jar=43091:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/bin -Dfile.encoding=UTF-8 -classpath /home/rauna/Documents/cudaProgramming/target/classes:/home/rauna/.m2/repository/com/aparapi/aparapi/2.0.0/aparapi-2.0.0.jar:/home/rauna/.m2/repository/com/aparapi/aparapi-jni/1.4.2/aparapi-jni-1.4.2.jar:/home/rauna/.m2/repository/org/apache/bcel/bcel/6.4.1/bcel-6.4.1.jar:/home/rauna/.m2/repository/org/scala-lang/scala-library/2.13.1/scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare
Exception in thread "main" java.lang.NullPointerException: Cannot invoke "com.aparapi.device.Device.createRange(int)" because "device" is null
at cudaProgramming.parallel.CudaSquare.main(CudaSquare.java:62)
Note: I can't see the images on my end. I just see text of image.png
OK I don't run using intellij.
Two things to try.
- Try getting rid of the intellij stuff from the above command line and launch from the command line
/home/rauna/.jdks/openjdk-18.0.1.1/bin/java -Djava.library.path=/usr/local/cuda-11.7/lib64/ -classpath /home/rauna/Documents/cudaProgramming/target/classes:/home/rauna/.m2/repository/com/aparapi/aparapi/2.0.0/aparapi-2.0.0.jar:/home/rauna/.m2/repository/com/aparapi/aparapi-jni/1.4.2/aparapi-jni-1.4.2.jar:/home/rauna/.m2/repository/org/apache/bcel/bcel/6.4.1/bcel-6.4.1.jar:/home/rauna/.m2/repository/org/scala-lang/scala-library/2.13.1/scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare
- set LD_LIBRARY_PATH (intellij probably has a way to set an environment variable at launch).
LD_LIBRARY_PATH=/usr/local/cuda-11.7/lib64/ /home/rauna/.jdks/openjdk-18.0.1.1/bin/java -Djava.library.path=/usr/local/cuda-11.7/lib64/ -classpath /home/rauna/Documents/cudaProgramming/target/classes:/home/rauna/.m2/ repository/com/aparapi/aparapi/2.0.0/aparapi-2.0.0.jar:/home/rauna/.m2/ repository/com/aparapi/aparapi-jni/1.4.2/aparapi-jni- 1.4.2.jar:/home/rauna/.m2/repository/org/apache/bcel/ bcel/6.4.1/bcel-6.4.1.jar:/home/rauna/.m2/repository/org/ scala-lang/scala-library/2.13.1/scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare I left the Scala stuff, but worry a bit about why it is there?
Gary
On Mon, Jul 4, 2022 at 3:24 PM Raunak Singh @.***> wrote:
@grfrost https://github.com/grfrost now I added the java argument to the JVM as you said but I am stil getting the same error. please assist:
/home/rauna/.jdks/openjdk-18.0.1.1/bin/java -Djava.library.path=/usr/local/cuda-11.7/lib64/ -javaagent:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/lib/idea_rt.jar=43091:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/bin -Dfile.encoding=UTF-8 -classpath /home/rauna/Documents/cudaProgramming/target/classes:/home/rauna/.m2/repository/com/aparapi/aparapi/2.0.0/aparapi-2.0.0.jar:/home/rauna/.m2/repository/com/aparapi/aparapi-jni/1.4.2/aparapi-jni-1.4.2.jar:/home/rauna/.m2/repository/org/apache/bcel/bcel/6.4.1/bcel-6.4.1.jar:/home/rauna/.m2/repository/org/scala-lang/scala-library/2.13.1/scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare Exception in thread "main" java.lang.NullPointerException: Cannot invoke "com.aparapi.device.Device.createRange(int)" because "device" is null at cudaProgramming.parallel.CudaSquare.main(CudaSquare.java:62)
Note: I can't see the images on my end. I just see text of image.png
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Suggestion 1) Please give me clear starightforward instructions as I don't have that much experience compiling in Maven from command line. I rely heavily on IntelliJ
Suggestion 2) didn't work even though I set the env path here:
I have done a lot of work to try to help you.
Please read the msg i put on the aparapi gitlab page
@mandeepsingh-private you might be able to rebuild and test using
https://github.com/grfrost/aparapi- https://github.com/grfrost/aparapi-m1 builder-cmake
Build and run works for me on Apple M1 and linux x64 platforms. So hopefully it will find you NVidia CUDA OpenCL lib....
I don't generally use intellij
I have never used nvidia cards
You are going to need to be able to use the command line to debug this...
So now is your chance to learn
On Wed, Jul 6, 2022 at 2:36 AM Raunak Singh @.***> wrote:
Suggestion 1) Please give me clear starightforward instructions as I don't have that much experience compiling in Maven from command line. I rely heavily on IntelliJ
Suggestion 2) didn't work even though I set the env path here: [image: image] https://user-images.githubusercontent.com/46200816/177446684-23491aca-8035-4aee-acb5-e5356b6c2e83.png
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@grfrost I tried using CUDA C++ and it is working for me. Thanks for all of your help, I will look at this again at a later date when I'm a little more experienced :)
Excellent, cuda has some great tool support. It is a great way to learn the fundamentals
Gary
On Fri, 15 Jul 2022 at 21:07, Raunak Singh @.***> wrote:
@grfrost https://github.com/grfrost I tried using CUDA C++ and it is working for me. Thanks for all of your help, I will look at this again at a later date when I'm a little more experienced :)
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My bad ;)
-Dxxxxx options are intended for the JVM not params to your code
So they appear before the class you are using
You have /home/rauna/.jdks/openjdk-18.0.1.1/bin/java ...../scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare -Djava.library.path=/usr/local/cuda-11.7/lib64/
You want /home/rauna/.jdks/openjdk-18.0.1.1/bin/java ...../scala-library-2.13.1.jar * -Djava.library.path=/usr/local/cuda-11.7/lib64/ *cudaProgramming.parallel.CudaSquare
In intellij don't add -Dxxxx as a program argument add it as a jvmoption So in run config [image: image.png] Click on modify options and then vmoptions
[image: image.png]
Then in the new 'VM Options' text field
[image: image.png] Add -Djava.library.path=/usr/local/cuda-11.7/lib64/ [image: image.png]
That should do it ;). hopefully
On Mon, Jul 4, 2022 at 12:28 PM Raunak Singh @.***> wrote:
@grfrost https://github.com/grfrost after passing the command line argument I am stil getting the same error:
/home/rauna/.jdks/openjdk-18.0.1.1/bin/java -javaagent:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/lib/idea_rt.jar=42963:/home/rauna/.local/share/JetBrains/Toolbox/apps/IDEA-C/ch-0/221.5921.22/bin -Dfile.encoding=UTF-8 -classpath /home/rauna/Documents/cudaProgramming/target/classes:/home/rauna/.m2/repository/com/aparapi/aparapi/2.0.0/aparapi-2.0.0.jar:/home/rauna/.m2/repository/com/aparapi/aparapi-jni/1.4.2/aparapi-jni-1.4.2.jar:/home/rauna/.m2/repository/org/apache/bcel/bcel/6.4.1/bcel-6.4.1.jar:/home/rauna/.m2/repository/org/scala-lang/scala-library/2.13.1/scala-library-2.13.1.jar cudaProgramming.parallel.CudaSquare -Djava.library.path=/usr/local/cuda-11.7/lib64/ Exception in thread "main" java.lang.NullPointerException: Cannot invoke "com.aparapi.device.Device.createRange(int)" because "device" is null at cudaProgramming.parallel.CudaSquare.main(CudaSquare.java:62)
Process finished with exit code 1
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I found myself with the same problem on windows with an RTX 3060.
The website says that "It is no longer required to manually install the Aparapi JNI native interface, this is now done automatically through maven as a dependency on Aparapi."
I thought that meant this was the only needed dependency:
<dependency>
<groupId>com.aparapi</groupId>
<artifactId>aparapi</artifactId>
<version>2.0.0</version>
</dependency>
However I also needed the dependency on aparapi-jni:
<dependency>
<groupId>com.aparapi</groupId>
<artifactId>aparapi-jni</artifactId>
<version>1.4.3</version>
</dependency>
which fixed everything. just in case someone has a similar issue..
