Anton K2 akochepasov

List docker containers running

docker ps docker container ls # same

Attach to a working container (Name555 is NAME)

docker exec -it Name555 bash

Create a docker image

docker build -t Tag123:v2 . # Uses local Dockerfile docker build -f Dockerfile22 -t Tag123:v2 .

Commit Message Guidelines

Short (72 chars or less) summary

More detailed explanatory text. Wrap it to 72 characters. The blank
line separating the summary from the body is critical (unless you omit
the body entirely).

Write your commit message in the imperative: "Fix bug" and not "Fixed
bug" or "Fixes bug." This convention matches up with commit messages

Fetch only a known branch

git fetch --depth=5 origin feature/BSD-745-db-simulation

Switch-rename existing branch

git switch feature/BSD-745-db-simulation
git switch -c BSD-745 --track origin/feature/BSD-745-db-simulation

Branch from current

git checkout -b feature/BSD-713

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or just head straight to the command line:

# Clone your fork to your local machine
git clone [email protected]:USERNAME/FORKED-PROJECT.git

	readelf -n /usr/local/cuda/lib64/libcudart.so
	# ... Build ID: 70f26eb93e24216ffc0e93ccd8da31612d277030

	# Open https://cudatoolkit-symbols.nvidia.com/libcudart.so/70f26eb93e24216ffc0e93ccd8da31612d277030/index.html to find out a filename
	wget https://cudatoolkit-symbols.nvidia.com/libcudart.so/70f26eb93e24216ffc0e93ccd8da31612d277030/libcudart.so.12.2.128.sym

	eu-unstrip /usr/local/cuda-12.2/targets/x86_64-linux/lib/libcudart.so.12.2.128 libcudart.so.12.2.128.sym –o /usr/local/cuda-12.2/targets/x86_64-linux/lib/libcudart.so.12.2.128

	# Or deploy as symbol file
	cp libcudart.so.12.2.128.sym /usr/lib/debug/.build-id/70/f26eb93e24216ffc0e93ccd8da31612d277030.debug

	" An example for a vimrc file.
	"
	" Maintainer: Bram Moolenaar <[email protected]>
	" Last change: 2008 Jul 02
	"
	" To use it, copy it to
	" for Unix and OS/2: ~/.vimrc
	" for Amiga: s:.vimrc
	" for MS-DOS and Win32: $VIM\_vimrc
	" for OpenVMS: sys$login:.vimrc

	To make Pageant automatically run and load keys at startup:

	- Find the location of pageant.exe

	- Windows key + R to open the 'run' dialog box

	- Type: 'shell:startup' in the dialog box

	- Create a shortcut to the pageant.exe and put into this startup folder.

	# Based on oneAPI description
	# Both from C order
	n, m = A.shape
	ldm, lda = n, 3
	ku, kl = 1, 1
	B = np.zeros((lda, ldm))
	for j in range(n):
	k = ku - j
	for i in range(max(0, j-ku), min(m, j + kl + 1)):
	B[(k + i), j] = A[i, j]

	def diagonal_form(a, upper = 1, lower= 1):
	"""
	a is a numpy square matrix
	this function converts a square matrix to diagonal ordered form
	returned matrix in ab shape which can be used directly for scipy.linalg.solve_banded
	"""
	n = a.shape[1]
	assert(np.all(a.shape ==(n,n)))

	ab = np.zeros((2*n-1, n))

	# https://www.brendangregg.com/perf.html

	/usr/local/bin/perf record -g -e cpu-clock -F 99 <bin_file>

	/usr/local/bin/perf script \| stackcollapse-perf.pl \| flamegraph.pl > mm_flame.svg