inoryy

Fixing MKL on AMD Zen CPU

As per discussion on Reddit, it seems a workaround for the Intel MKL's notorious SIMD throttling of AMD Zen CPUs is as simple a setting MKL_DEBUG_CPU_TYPE=5 environment variable.

Benchmarks

All three scripts are executed in the same Python 3.7 environment on a first-gen AMD Zen CPU (1950x).
The difference will be even bigger on newer models as first-gen Zen resolves 256-bit AVX2 in two 128-bit instructions.

pika1928

import time
import math
import winsound

Torb = 'Torb player'
Mccree = 'Mccree pLayer'
Hanzo = 'Hanzo player'
Zen = 'Zen player'

xy={'6:55': 'Shock Tyre (right)',

rain-1

WannaCry|WannaDecrypt0r NSA-Cyberweapon-Powered Ransomware Worm

• Virus Name: WannaCrypt, WannaCry, WanaCrypt0r, WCrypt, WCRY
• Vector: All Windows versions before Windows 10 are vulnerable if not patched for MS-17-010. It uses EternalBlue MS17-010 to propagate.
• Ransom: between $300 to $600. There is code to 'rm' (delete) files in the virus. Seems to reset if the virus crashes.
• Backdooring: The worm loops through every RDP session on a system to run the ransomware as that user. It also installs the DOUBLEPULSAR backdoor. It corrupts shadow volumes to make recovery harder. (source: malwarebytes)
• Kill switch: If the website www.iuqerfsodp9ifjaposdfjhgosurijfaewrwergwea.com is up the virus exits instead of infecting the host. (source: malwarebytes). This domain has been sinkholed, stopping the spread of the worm. Will not work if proxied (source).

update: A minor variant of the viru

telegraphic

""" 
Parse output of nvidia-smi into a python dictionary.
This is very basic!
"""

import subprocess
import pprint

sp = subprocess.Popen(['nvidia-smi', '-q'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

jweyrich

//
// ORIGINAL CODE: http://stackoverflow.com/questions/17806760/binary-expression-tree-c
//

#include <cassert>
#include <iostream>

template <typename ExpressionT>
struct expression
{

isa

/* Source Code Windows 2000 */

#include "win31.h"
#include "win95.h"
#include "win98.h"
#include "workst~1.h"
#include "evenmore.h"
#include "oldstuff.h"
#include "billrulz.h"
#include "monopoly.h"