Rackspace Nears a Private Equity Buyout, Report Says
Apollo Global is reportedly negotiated a $3.5B price for the firm.
Apollo Global is reportedly negotiated a $3.5B price for the firm.
Which is faster, Python or Go? And by how much? This is the question I found myself asking earlier this week after troubleshooting a script that my son had written in Python to calculate prime numbers.
My son worked out a fairly simple algorithm to generate prime numbers which we tweaked slightly to optimize it (things like not bothering to check even numbers, not checking divisors that are larger than 1/3 of the number, not checking any number ending in 5, and so on). I’m not saying that this is production-ready code, nor highly optimized, but it does appear to work, which is what matters. The resulting code looks like this:
#!/usr/bin/python max = 100000 for tens in xrange(0,max,10): for ones in (1, 3, 7, 9): a = tens + ones halfmax = int(a/3) + 1 prime = True for divider in xrange (3, halfmax, 2): if a % divider == 0: # Note that it's not a prime # and break out of the testing loop prime = False break # Check if prime is true if prime == True: print(a) # Fiddle to print 2 as prime if a == 1: Continue reading
Its Weekly Show 300! Time for an update about how show is doing, our public appearances, and then some tech news on Greg s trip to IETF 96 in Berlin. The post Show 300: The IETF Is The Best We’ve Got & A Packet Pushers Update appeared first on Packet Pushers.
Hey, it's HighScalability time:
The post Worth Reading: Hot Commodities appeared first on 'net work.
Over the years there have been numerous efforts to use unconventional, low-power, graphics-heavy processors for traditional supercomputing applications—with varying degrees of success. While this takes some extra footwork on the code side and delivers less performance overall than standard servers, the power is far lower and the cost isn’t even in the same ballpark.
Glenn Volkema and his colleagues at the University of Massachusetts Dartmouth are among some of the most recent researchers putting modern gaming graphics cards to the performance per watt and application benchmark test. In looking at various desktop gaming cards (Nvidia GeForce, AMD Fury X, among …
A Fresh Look at Gaming Devices for Supercomputing Applications was written by Nicole Hemsoth at The Next Platform.
As with many emerging technologies, there are pros and cons to SD-WAN adoption.
The Juniper documentation on log collector is a bit sparse to be honest, and once it is installed, SSHing to it doesn’t seem to produce a configuration menu any more. In order to change its config, there are some scripts, but I had to dig around for them:
[root@LOG-COLLECTOR bin]# ls adhoc.py disableExport.sh logcollectorWatchdog.py selfhealingES.py agentScript.sh elasticDiskAllocation.py logcollectorWatchdog.pyc selfhealingES.pyc agentUtilityScript.sh elasticDiskRollover.sh logcolmon.py startService.sh bashUtils.sh enableExport.sh logcolmon.pyc stopService.sh cleanZipLogs.sh generateReponse.pl lsStatisticsupdate.sh subsequentBootupdate.sh collectSystemLogs.sh getMountLocation.sh monitorPacketDrop.sh support-diagnostics.sh configureMailSetup.sh getRebootDetails.pl mountNfs.sh syslogForwardToggle.sh configureNameServer.sh getSystemInfo networkScript.sh updateEtcHosts.sh configureNode.sh getZipLogs.pl resizeFS.sh updateIndexerip.sh configureNtp.sh initConf.pl resourceMonitoring validateIpAddress.sh configureTimeZone.sh loadFirewal.sh rootWrapper whiteList.sh [root@LOG-COLLECTOR bin]#
They are in this directory:
[root@LOG-COLLECTOR bin]# pwd /opt/jnpr/bin [root@LOG-COLLECTOR bin]#
An important thing to be sure of is that log collector does not have two interfaces – it should have only eth0. If it gets an IP address on eth1, you might find that logging does not work. This is probably because it received a DHCP address on eth1, Continue reading