Two A100 cards installed on the system. Attempt to use the CUDA Cmd-Line profiler. Run the simplest example of CUDA. Type the command
export COMPUTE_PROFILE=1
export CUDA_PROFILE=1
./simpleMultiGPU
output
Starting simpleMultiGPU
CUDA-capable device count: 2
Generating input data...
Computing with 2 GPUs...
GPU Processing time: 7.483000 (ms)
Computing with Host CPU...
Comparing GPU and Host CPU results...
GPU sum: 16777280.000000
CPU sum: 16777294.395033
Relative difference: 8.580068E-07
But there is no log file output. Type
ls -a
Still output
. .. Makefile NsightEclipse.xml readme.txt simpleMultiGPU simpleMultiGPU.cu simpleMultiGPU.h simpleMultiGPU.o
What could be the cause? Thanks in advance!
The command line profiler you are attempting to use isn't part of any CUDA toolkit that supports GPUs like A100. It was deprecated and removed some time ago (it was removed prior to CUDA 8.0. CUDA 11.x or newer is required for A100 support).
The recommended profilers are nsight compute and nsight systems. A set of introductory blogs starts here.
Related
I recently installed DaVinci resolve 18.1 and got "the gpu failed to perform image processing error code 999" Error as soon as I started the Program. I had no Clue . Requires solution.
How to fix Error code 999 (the gpu failed to perform image processing).
Get the latest Driver for your gpu
Switch to NVIDIA Performance mode in NVIDIA x Server Prime Profile
NVIDIA x Server -> Prime Profile -> NVIDIA (Performance mode)
Reboot
If you don't have a prime profile in the NVidia X server settings like me, acquire the nvidia-prime package and run a 'prime-run' prefix on the executable in terminal. Fixed it for me.
prime-run /opt/resolve/bin/resolve
What would be the simplest and most portable way (in the sense of only having to copy a few files to the target machine, like procdump is) to generate a kernel dump that has handle information?
procdump has the -mk option which generates a limited dump file pertaining to the specified process. It is reported in WinDbg as:
Mini Kernel Dump File: Only registers and stack trace are available. Most of the commands I try (!handle, !process 0 0) fail to read the data.
Seems that officially, windbg and kd would generate dumps (which would require kernel debugging).
A weird solution I found is using livekd with -ml: Generate live dump using native support (Windows 8.1 and above only).. livekd still looks for kd.exe, but does not use it :) so I can trick it with an empty file, and does not require kernel debugging. Any idea how that works?
LiveKD uses the undocumented NtSystemDebugControl API to capture the memory dump. While you can easily find information about that API online the easiest thing to do is just use LiveKD.
I understand that a lot of compilation issues on the Pi Zeros are due to the fact that they use armv6, whereas the newer Raspberry Pi's like the 3 A+ and B+ use armv7. However, I do not understand how to find the offending library in an application that is causing the issue, and if there is perhaps a simple fix for the problem.
Background:
I am trying to port an application from a Linux Desktop environment to the Pi Zero (running armv6). I successfully ported it to the Pi 3 B and B+. That is, I compiled the code, and checked that it is producing the correct output.
However, the Pi Zero implementation compiles, but just spits out a single message when run:
Illegal instruction
This is most likely due to some command that is not compatible with armv6, but I cannot figure out which command that is. I would like to start by determining which library is the problem child. Please tell me how I would diagnose that.
Extra Info:
I have checked that the compiler is not the issue. How? I made a simple hello world program, and compiled it for the Pi Zero:
#include<iostream>
int main(int argc, char *argv[]){
std::cout << "Hello World!" << std::endl;
return 0;
}
So the compiler itself doesn't seem to be the issue.
More details:
If I run readelf -A myapp, my understanding is that the output is reporting that the app is indeed compiled for armv6:
Attribute Section: aeabi
File Attributes
Tag_CPU_name: "6"
Tag_CPU_arch: v6
Tag_ARM_ISA_use: Yes
Tag_THUMB_ISA_use: Thumb-1
Tag_FP_arch: VFPv2
Tag_ABI_PCS_wchar_t: 4
Tag_ABI_FP_rounding: Needed
Tag_ABI_FP_denormal: Needed
Tag_ABI_FP_exceptions: Needed
Tag_ABI_FP_number_model: IEEE 754
Tag_ABI_align_needed: 8-byte
Tag_ABI_align_preserved: 8-byte, except leaf SP
Tag_ABI_enum_size: int
Tag_ABI_VFP_args: VFP registers
Tag_CPU_unaligned_access: v6
Here is the readelf -A for one of the shared libraries:
Attribute Section: aeabi
File Attributes
Tag_CPU_name: "6"
Tag_CPU_arch: v6
Tag_ARM_ISA_use: Yes
Tag_THUMB_ISA_use: Thumb-1
Tag_FP_arch: VFPv4
Tag_Advanced_SIMD_arch: NEONv1 with Fused-MAC
Tag_ABI_PCS_wchar_t: 4
Tag_ABI_FP_denormal: Needed
Tag_ABI_FP_exceptions: Needed
Tag_ABI_FP_number_model: IEEE 754
Tag_ABI_align_needed: 8-byte
Tag_ABI_align_preserved: 8-byte, except leaf SP
Tag_ABI_enum_size: int
Tag_ABI_HardFP_use: Deprecated
Tag_ABI_VFP_args: VFP registers
Tag_CPU_unaligned_access: v6
To identify a fault such as Illegal instruction you can run the program under a debugger capable of interacting with the operating system's fault handler.
On a Linux system such as the pi, that would be gdb. You may need to install this, on a debian-derived distribution that would be sudo apt-get install gdb
Then run your program
gdb myprog
or if your program needs command line arguments
gdb myprog --args some_argument another_argument
Once gdb starts up type run, and the program will execute near normally until it reaches the illegal instruction, at which point you will be dumped back at the gdb prompt with a hopefully informative error message.
There you can explore with commands such as backtrace or if the programmer has associated source, list. If the fault is at an address gdb can see as being mapped as from a file it should show you that - you can also get at the mapping information via the gdb command info files or by looking in /proc/[PID]/maps
If for some reason you can't run the program live under gdb, you can research how to enable core dumps for your system, and then load the program and the core dump into gdb for post-mortem analysis.
Depending on system configuration, if running the program on its own without a debugger, you may also see information about the fault in the output of dmesg or another system log.
i have simple answer just press up button and try
rpi0 can run all programs if you have armel
see here its a rpi0 os build script build a minimal os on based on armel architecture
https://gitlab.com/kalilinux/build-scripts/kali-arm
how i solved i tried to run java on raspbian os it did not worked i used kali for raspberry pi zero java was running
so use armel arch
I was trying to activate my configuration on my local PC, but it failed. I tried:
Isolate 1 or 2 cores on my pc (Under SYSTEM > Real-Time and reboot the PC) and run the PLC tasks on those cores. When I do this I get the following error:
'TwinCAT System' (10000): Sending ams command >> Init4\RTime: Start Interrupt: Ticker started >> AdsWarning: 4118 (0x1016, RTIME: startup of isolated CPU fails!) << failed!
I then tried to run it on the normal windows dedicated CPUs (so none of the CPU’s were isolated). When I activated the configuration (and enabled Virtualization in the BIOS) I got the following error message:
Setting TwinCAT in Run Mode with KB4056894 is not possible
Uninstall KB4056894
or
Activate a solution using only isolated cores
I could not find KB4056894 installed on my PC. Any other solution?
I'm using TwinCAT 3 Build 4022.14 under Windows 10.
From Beckhoff support:
According to the error note, the Microsoft patch for spectre/meltdown
is installed on your PC. Normally, the TC3 should work with this patch
when using isolated cores…
However, since version TC3 Build 4022.16, this problem is solved.
I installed 4022.22 and everything worked.
I just want to share my experience with this error and how I solved it. Just in real-time menu set the cpu cores as 1 shared and 3 isolated cores. since my cpu has 4 core. Then set this value on target and then it will ask for reboot. after reboot it worked without this error and I was able to run the my code.
I have a fc14 32 bit system with 2.6.35.13 custom compiled kernel.
When I try to start G-wan I get a "Segmentation fault".I've made no changes, just downloaded and unpacked the files from g-wan site.
In the log file I have:
"[Wed Dec 26 16:39:04 2012 GMT] Available network interfaces (16)"
which is not true, on the machine i have around 1k interfaces mostly ppp interfaces.
I think the crash has something to do with detecting interfaces/ip addresses because in the log after the above line I have 16 lines with ip's belonging to the fc14 machine and after that about 1k lines with "0.0.0.0" or "random" ip addresses.
I ran gwan 3.3.7 64-bit on a fc16 with about the same number of interfaces and had no problem,well it still reported a wrong number of interfaces (16) but it did not crashed and in the log file i got only 16 lines with the ip addresses belonging to the fc16 machine.
Any ideas?
Thanks
I have around 1k interfaces mostly ppp interfaces
Only the first 16 will be listed as this information becomes irrelevant with more interfaces (the intent was to let users find why a listen attempt failed).
This is probably the long 1K list, many things have changed internally after the allocator was redesigned from scratch. Thank you for reporting the bug.
I also confirm the comment which says that the maintenance script crashes. Thanks for that.
Note that bandwidth shaping will be modified to avoid the newer Linux syscalls so the GLIBC 2.7 requirement will be waved.
...with a custom compiled kernel
As a general rule, check again on a standard system like Debian 6.x before asking a question: there is room enough for trouble with a known system - there's no need to add custom system components.
Thank you all for the tons(!) of emails received these two last days about the new release!
I had a similar "Segmentation fault" error; mine happens any time I go to 9+GB of RAM. Exact same machine at 8GB works fine, and 10GB doesn't even report an error, it just returns to the prompt.
Interesting behavior... Have you tried adjusting the amount of RAM to see what happens?
(running G-WAN 4.1.25 on Debian 6.x)