Graphics Tools for Linux
As you can see, there is really too much information about graphics tools to cover in a single article. Nearly all these tools are still evolving, adding new features and capabilities through the combined efforts of many people. Tools based on the more powerful programming languages, such as Java and OpenGL, are not far off, and it is only a matter of time before commercial versions begin to appear. Support for live video capture is available for some X servers and support for hardware accelerations and video capture boards is forthcoming. I intend to cover all of these in the Linux Graphics mini-HOWTO as they evolve.
You can do professional graphic art on Linux systems. The tools are available, the documentation is growing, and the user communities offer a wealth of information and help. And what's best of all—you can now find the tools you need using a single reference: The Linux Graphics mini-HOWTO.
Michael J. Hammel (mjhammel@csn.net) is a transient software engineer with a background in everything from data communications to GUI development to Interactive Cable systems—all based in Unix. His interests outside of computers include 5K/10K races, skiing, Thai food and gardening. He suggests if you have any serious interest in finding out more about him, you visit his Home Pages at www.csn.net/~mjhammel. You'll find out more there than you really wanted to know. He also requests that any commercial vendors of graphics systems contact him, as he'd like to include these in the mini-HOWTO in the future.
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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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