47%
16.05.2013
://wiki.scilab.org/Linalg%20performances
Compiling
http://wiki.scilab.org/Compiling%20Scilab%205.x%20under%20GNU-Linux%20Unix
Parallel computing
http
47%
02.08.2021
SGEMM
for N = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192]
A = single( rand(N,N) );
B = single( rand(N,N) );
start = clock();
C = A*B;
elapsedTime = etime(clock(), start
47%
30.01.2024
Dell Precision Workstation T7910
Power
1,300W
CPU
2x Intel Xeon Gold E5-2699 V4, 22 cores, 2.4GHz, 55MB of cache, LGA 2011-3
GPU, NPU
n/a*
Memory
47%
19.06.2023
range of values in x
instead of the stand deviation as the divisor:
Figure 2: Range normalization formula.
This normalization may or may not be useful because
47%
17.02.2015
for x in rep.df.rx2(2)])
17
18 devs.png(file=path, width=512, height=512)
19 ro.r.plot(x_vals, y_vals, xlab=x_lab, ylab=y_lab, main=main)
20 devs.dev_off()
21
22 rep ... The statistical programming language R dissects its database in a masterful way, and you can embed your R in Python using the Rpy2 interface.
47%
28.06.2011
: the popular buzzword that has fired the imagination of analysts [1], consultants [2], hardware vendors, data center operators, and CIOs of multinational corporations.
This continuing euphoria is based
47%
25.03.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
47%
21.08.2014
't connect to $remote_host:$remote_port: $@ \n";
17
18
19 while() {
20 my @lavg = Sys::CpuLoad::load();
21 my $ts=time();
22 print $socket "system.loadavg_1min $lavg[0] $ts\n";
23 print $socket "system
47%
05.12.2019
).
Figure 1: Flattening a 2D array in C or C++.
Listing 3
inspect.c
#include
**
int a[4][5] = { // array of 4 arrays of 5 ints each, a 4x5 matrix
{ 1, 2, 3
47%
09.01.2013
-stack-AWSEBCloudwatchAlarmLow-14SOWYQGJ2F5X
2013-05-08 20:07:51 INFO Created Auto Scaling group
policy named:
arn:aws:autoscaling:eu-west-1:894012917938:scalingPolicy:
22724a85-a99c-4a05-a66a-cb56a70f54e7:auto
