Comeau Computing Releases C++3.0.1
Comeau Computing has released Comeau C++ 3.0.1 with Templates. This high-quality, cfront-based C++ compiler comes with lifetime technical support available through Internet e-mail, vendor conferences on BIX, Compuserve, and Prodigy, as well as fax and voice telephone numbers. Comeau C++ for Linux requires at least 2MB of free RAM, 2MB of free disk space, and gcc; it sells for $250, with free second-day air shipping in the continental U.S. Comeau maintains a presence on the ISO/ANSI C++ standards committee.
Comeau Computing also has a Bourne shell compiler called CCsh, which is also available for Linux; contact the company for details.
Comeau Computing can be reached at 9134 120th Street, Richmond Hill, NY 11418; phone (718) 945-0009; fax (718) 441-2310; e-mail on the Internet email@example.com, on BIX as comeau, on Prodigy as tshp50a, or on CompuServe as 72331,3421.
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi
It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
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.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?