MHZ | social networking web based application | Social Channel Utils library

Your GTX770 GPU is a "Kepler" architecture compute capability 3.0 device. These devices were deprecated during the CUDA 10 release cycle and support for them dropped from CUDA 11.0 onwards

The CUDA 10.2 release is the last toolkit with support for compute 3.0 devices. You will not be able to make CUDA 11.0 or newer work with your GPU. The query and bandwidth tests use APIs which don't attempt to run code on your GPU, that is why they work where any other example will not work.

Your image size is 2x2 and the image format is RGB. Therefore the length of a line is 6 bytes. By default OpenGL assumes that the start of each row of an image is aligned to 4 bytes.

This is because the GL_UNPACK_ALIGNMENT parameter by default is 4. Since the image has 3 color channels (GL_RGB), and is tightly packed the size of a row of the image may not be aligned to 4 bytes.
When a RGB image with 3 color channels is loaded to a texture object and 3*width is not divisible by 4, GL_UNPACK_ALIGNMENT has to be set to 1, before specifying the texture image with glTexImage2D:

I question the following assumption:

This didn't work. It is clear that the compiler is optimising-out much of the code related to z completely! The code then fails to function properly (running far too fast), and the size of the compiled binary drops to about 50% or so.

Looking at https://gcc.godbolt.org/z/sKdz3h8oP, it seems like the loops are actually being performed, however, for whatever reason each z++, when using a global volatile z goes from:

Rules for memory allocation.

• Do not allocate so much RAM that swapping will occur. Swapping is terrible for MySQL/MariaDB performance.
• Do adjust innodb_buffer_pool_size such that most of RAM is in use during normal time and even for spikes in activity. (I often say "set it to 70% of available RAM", but you are asking for more details.)
• Do not bother changing other settings; they add to the complexity of "getting it right".

There are 3 situations (based on innodb_buffer_pool_size and dataset size):

• Tiny dataset -- buffer_pool is bigger than necessary --> wasting some of RAM, but so what; it is not useful for anything else. And it give you some room for growth.
• Medium-sized dataset -- Most activity is done in RAM; the system will run nicely.
• Big dataset -- The system may be I/O-bound. Adding RAM is a costly and brute force solution. However, some software techniques (eg, better indexes) may help, such as this for WordPress and WooCommerce.

Intel Xeon E5-2620 is Sandy Bridge CPU which officially supports AVX and not AVX2.

DPDK 20.11 meson build, ninja -C build will generate code with AVX instructions and not AVX2. But (Based on the live debug) PKTGEN forces the compiler to add AVX2 to be inserted, thus causing illegal instruction.

Solution: edit meson.build in line 22

from

You can use the .min() and .max() functions, as follows:

I took your program (your first parentheses is redundant, so I removed):

Using processes I reduced time only by 15-20 seconds because ffmpeg even in single process was using almost full CPU power and my computer didn't have power to run other processes faster.

First I reduced code to make it shorter.

Code in try and except had similar elements so I moved them ouside try/except.

Next I used

If I understand correctly, you want a "status update" every x useconds of process execution (rather than of wall clock time, as SIGVTALRM implies ITIMER_VIRTUAL to me).

The safest, simplest way to do this will be to accept a pending signal, instead of delivering that signal to a signal handler.

Before spawning any threads, use pthread_sigmask to SIG_BLOCK at least SIGVTALRM. All new threads will inherit that signal mask. Then, spawn your status thread, detached, which sets an intervalic virtual clock timer and loops, waiting to accept VTALRM: