|Created on||2015-12-31 01:21:30|
|Files||ParallelsDesktop v11.1.2-32408 by TNT.dmg (376.5 MB)|
Name: Parallels Desktop
Version: 11.1.2 (32408)
Mac Platform: Intel
OS version: 10.9.5 or later
RAM minimum: 4GB
This update for Parallels Desktop 11 for Mac 11.1.2 (32408) addresses overall stability and performance issues, and includes the following fixes:
Resolves an issue with connecting USB devices to virtual machines after upgrading the host OS to OS X El Capitan 10.11.2
Resolves an issue with an error waking virtual machine from sleep
Resolves an issue with virtual machines not recognising additional displays when using all displays in Full Screen
Resolves an issue with Parallels Desktop crashing when adding a new printer in an OS X host OS
Resolves an issue with accidental network connectivity failure in virtual machines
Resolves an issue with a black screen appearing after installing Parallels Tools on OS X 10.6 and 10.7 virtual machines.
Resolves an issue with UDP port forwarding not remapping back to the source IP port
Resolves an issue with the screen blinking after Parallels Tools are installed in Fedora 23.
Courtesy of TNT Team
Link for more information: http://www.parallels.com/products/desktop/
Parallels Desktop is simply the world's bestselling, top-rated, and most trusted solution for running Windows applications on your Mac. With Parallels Desktop for Mac, you can seamlessly run both Windows and Mac OS X applications side-by-side without rebooting. Drag-and-drop files between Windows and Mac applications, launch Windows applications from your Mac dock, and do much more with speed, control and confidence.
Seamless Simplicity Use Run Windows programs like they were native to your Mac. Setting up Parallels Desktop for Mac is simple and quick. Enjoy the best of both worlds - Windows and Mac OS X - on one seamless desktop.
Performance and Personalization Experience as much or as little Windows as you want. Multiple view modes make it possible for you to customize the level of integration between Mac and Windows without compromising performance.