8%
15.08.2012
, elements of the distributed array, j
(created above) can be changed (not just the local references; in this case, rows 1-2 and columns 1-8):
julia> j[2,2]=0;
julia> j[8,8]=0;
julia> print(j);
8x8 Float
8%
05.12.2014
.518025 pkts=2 kpps=0.0 kbytes=0 mbps=0.0 nic_pkts=2 nic_drops=0 u=0 t=0 i=0 o=0 nonip=2
1415510238.518111 pkts=8 kpps=0.0 kbytes=1 mbps=0.0 nic_pkts=10 nic_drops=0 u=5 t=2 i=0 o=0 nonip=1
1415510241
8%
12.09.2013
=$dbh->prepare('select burncpu(?)');
12 $sth->execute((($ENV{QUERY_STRING}+0) || .5).'s');
13
14 while( my $row=$sth->fetchrow_arrayref ) {
15 print "@$row\n";
16 }
Workaround
The script is simple, but the attentive
8%
30.11.2025
;
12
13 /* sendq: servers need a higher sendq as they send more data */
14 sendq=2 megabytes;
15 };
Additionally, ircd.conf lacks a block that allows connections to other servers ... Running an IRC server might seem almost anachronistic, but the classic service from the early 1990s offers a huge amount of functionality with very little in the line of resources. In the daily grind
8%
14.03.2013
modeling, allows for more powerful mapping, and alleviates design limitations through more natural representation.
Apache Cassandra v1.2 is released under the Apache License v2.0. Cassandra releases include
8%
30.11.2025
total = summary.values.inject(0) { |sum, i| sum += i }
12 puts "Found #{total} instances in the following states:"
13 summary.keys.sort.each do |s|
14 printf "%20s %d\n", s, summary[s]
15 end
16 puts ... addresses this issue by offering a standardized API for infrastructure as a service (IaaS) clouds.
8%
05.11.2018
Name=slurm-node-0[0-1] Gres=gpu:2 CPUs=10 Sockets=1 CoresPerSocket=10 \
ThreadsPerCore=1 RealMemory=30000 State=UNKNOWN
PartitionName=compute Nodes=ALL Default=YES MaxTime=48:00:00 DefaultTime=04:00:00 \
Max
8%
13.12.2018
remember using it at Linux Networx in the early 2000s. Over the years, it has been developed by Lawrence Livermore National Laboratory, SchedMD [5], Linux Networx, Hewlett-Packard, and Groupe Bull [6
8%
30.11.2020
):
11
12 s = 0.0
13 s += h * f(a)
14 for i in range(1, n):
15 s += 2.0 * h * f(a + i*h)
16 # end for
17 s += h * f(b)
18 return (s/2.)
19 # end def
20
21
22 # Main section
23 comm = MPI
8%
30.01.2020
its execution in the real world (real), as well as how much CPU time was allocated in user and kernel (sys) modes:
$ time sleep 1
real 0m1.004s
user 0m0.002s
sys 0m0.001s
What not everyone knows
