gpshead

# Make an Ubuntu 22.04 Docker image supporting CUDA and Linux 4 Tegra stuff on
# the nVidia Jetson Nano.  I ran this from the final nano Linux 4 Tegra JetPak
# image aka jetson-nano-jp461-sd-card-image.zip which I updated to 4.6.3
# using apt.  -- @gpshead
#
# Is there any real point to doing this?  I have no idea. :P
# If you don't care about toying with the GPU stuff, just go install Armbian.
#
# This is based off of the instructions on
# https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-Container-Runtime-on-Jetson

Tianqi26

install of 6 in SuperMike2 HPC

Reference:

• [1] https://software.intel.com/content/www/us/en/develop/articles/recipe-compile-openfoam-with-intel-compiler-for-intel-xeon-scalable-processors.html
• [2] https://thelinuxcluster.com/category/application/openfoam/

Step1. Compiler and MPI library setup

qsub -I -l nodes=1:ppn=16,walltime=02:00:00 -q workq -A hpc_cdss01

peteristhegreat

The CD that came with the device listed RTL8671B, but it's not on Realtek's website. Instead the manual points you to:

https://www.mytechkey.com/pages/driver

4.Bluetooth 5.0 Dongle

Driver Link:

https://www.dropbox.com/s/gwo9lz777i82f70/BT5.0%20Driver.zip?dl=0

stokito

# last three commits 
git format-patch -3 --stdout > multi_commit.patch
# all commits that are in your branch and not in master into a single patch file multi_commit.patch
git format-patch --signoff master --stdout > multi_commit.patch
# create patches in the folder ~/output/directory/ for all commits that are in your branch and not in master
git format-patch -o ~/output/directory/ --signoff master

Jokeren

Install spack

git clone https://github.com/spack/spack.git
export SPACK_ROOT=/path/to/spack
export PATH=${SPACK_ROOT}/bin:${PATH}
source ${SPACK_ROOT}/share/spack/setup-env.sh

Clone HPCToolkit

f0k

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
Outputs some information on CUDA-enabled devices on your computer,
including current memory usage.

It's a port of https://gist.github.com/f0k/0d6431e3faa60bffc788f8b4daa029b1
from C to Python with ctypes, so it can run without compiling anything. Note
that this is a direct translation with no attempt to make the code Pythonic.

Bulat-Ziganshin

https://devtalk.nvidia.com/default/topic/933827/cuda-programming-and-performance/fast-256-bin-histogram/
http://www.cse.uconn.edu/~zshi/course/cse5302/ref/chhugani08sorting.pdf
http://link.springer.com/chapter/10.1007/978-3-642-23397-5_16
http://arxiv.org/abs/1008.2849 Faster Radix Sort via Virtual Memory and Write-Combining Jan Wassenberg, Peter Sanders

https://devtalk.nvidia.com/default/topic/378826/cuda-programming-and-performance/my-speedy-sgemm/post/2703033/#2703033
https://devtalk.nvidia.com/default/topic/390366/cuda-programming-and-performance/instruction-latency/post/2768197/#2768197
https://devtalk.nvidia.com/default/topic/913832/cuda-programming-and-performance/sum-reduction-working-in-fermi-kepler-and-maxwell/
https://devtalk.nvidia.com/default/topic/776043/cuda-programming-and-performance/whats-new-in-maxwell-sm_52-gtx-9xx-/1
https://devtalk.nvidia.com/default/topic/690631/cuda-programming-and-performance/so-whats-new-about-maxwell-/post/4305310/#4305310

aa65535

:: 启动后需要保留窗口, 关闭窗口则结束进程

aria2c --conf-path=aria2.conf -D

vertexclique

MacOS

Build 3059

MD5: 59bab8f71f8c096cd3f72cd73851515d

Rename it to: Sublime Text

Make it executable with: chmod u+x Sublime\ Text

akorobov

import socket
from BaseHTTPServer import HTTPServer
from SimpleHTTPServer import SimpleHTTPRequestHandler

class MyHandler(SimpleHTTPRequestHandler):
  def do_GET(self):
    if self.path == '/ip':
      self.send_response(200)
      self.send_header('Content-type', 'text/html')
      self.end_headers()