Linux and the Alpha
The Alpha architecture is designed for performance and its implementations do indeed make for very fast systems. Since its chips run at very high clock frequencies, the Alpha usually benefits the most from simple techniques that improve the memory-system behavior of a given program or algorithm. A few of these techniques have been demonstrated in this article and shown to achieve performance improvements anywhere in the range of 10% to 1700%. Fortunately, the same techniques also seem to benefit the other CPU architectures. This is good news since it means that usually one optimized implementation will perform well across a broad range of CPUs.
The biggest hurdle to developing high-performance applications under Linux is the current lack of sophisticated performance analysis tools. The relative lack of such tools is not surprising; while most commercial Unix vendors have tools for their own architecture, few, if any, are multi-platform. To some degree this is inherent in the problem, but there is no question it would not be very difficult to create even better portable performance-analysis tools.
Linux is what makes low-cost Alpha-based Unix workstations a reality. While Digital UNIX currently comes with better compilers, runtime libraries and more tools for the Alpha, the price difference is such that one can easily make up for the performance difference by spending a little more money on a faster machine. Also, development of gcc and better libraries doesn't stand still. However, since most work is done on a voluntary basis, it does take some time. Even so, Linux is already a highly competitive platform for integer-intensive applications. For floating-point intensive and especially FORTRAN applications, things are not yet so mature. Fortunately, if one cannot afford to wait for a better compiler, there is always the option of purchasing one of the commercial FORTRAN compilers available for Linux/Alpha.
The author would like to thank Richard Henderson of Texas A&M University and Erik Troan of Red Hat Software for reviewing this paper on short notice. Their feedback greatly improved its quality. Errors and omissions are the sole responsibility of the author. This article was first given as a speech at Linux Expo 97 on April 5.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide