The 7160 is a standalone (no bus) version of the FPGA-based Anything I/O card series. It provides 96 I/O bits, and on four 50 pin connectors, 24 bits per connector. The connectors have I/O module rack-compatible pinouts. The 7160 also has two RS-485 serial ports and two RS-232 ports, one of which is used for downloading initial configurations to the on-card Flash EEPROM. Many I/O configuration files are provided, including both simple and smart remote I/O, 4- and 8-axis servo motion control and more. Available I/O interface daughter cards include an 8-channel RS-232/485 interface, a debug LED card, a 2-axis #A stepper motor driver and more.
SuSE Linux announced the Openexchange Server, an all-in-one communications and groupware solution. Openexchange provides e-mail functions, web-mail clients, a central appointment and address management system, as well as project management and task planning tools in one application. A centrally controlled document management tool and group-based discussion forums are also supported. The Openexchange interface runs on common browsers, so users can access the services on all computer platforms, including Windows and Mac OS. The data synchronization feature allows information to be shared with PDAs.
|Non-Linux FOSS: libnotify, OS X Style||Jun 18, 2013|
|Containers—Not Virtual Machines—Are the Future Cloud||Jun 17, 2013|
|Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer||Jun 12, 2013|
|Weechat, Irssi's Little Brother||Jun 11, 2013|
|One Tail Just Isn't Enough||Jun 07, 2013|
|Introduction to MapReduce with Hadoop on Linux||Jun 05, 2013|
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
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Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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