Inside the Intel Compiler
While the Intel compiler is strictly ANSI-compliant, there are options to cover many GCC extensions, such as long long int, zero-length arrays or macros with variable number of arguments. GCC-style inline assembly code is also supported. DWARF2 debugging information is provided to use with standard debuggers such as GDB. Certain Microsoft extensions are also enabled, such as __declspec attributes, along with support for Microsoft-style inline assembly code.
In addition to inline assembly code, the Intel compiler also supports MMX and SSE/SSE2 intrinsics. These allow access to the processor-specific extensions without the performance and correctness problems often caused by using inline assembly that can interfere with the analysis and transformations of the Intel compiler. By using the provided intrinsics, the programmer can take advantage of specific instructions but still receive the benefits of register allocation, scheduling and other optimizations.
The Intel compiler for Linux is a state-of-the-art compiler that delivers performance among the best in the industry, using sophisticated techniques to enable advanced features of Intel IA-32 architectures. More information can be found at developer.intel.com/software/products/compilers.
Thanks to Zia Ansari and David Kreitzer for their help in describing some of the technical details of the compiler. We also thank all the other members of the Intel compiler team.
Intel, Pentium, Itanium and MMX are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries.
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.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
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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