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Open Source

Linux Kernel 2.6.32 Released 195

diegocg writes "Linus Torvalds has officially released the version 2.6.32 of the Linux kernel. New features include virtualization memory de-duplication, a rewrite of the writeback code faster and more scalable, many important Btrfs improvements and speedups, ATI R600/R700 3D and KMS support and other graphic improvements, a CFQ low latency mode, tracing improvements including a 'perf timechart' tool that tries to be a better bootchart, soft limits in the memory controller, support for the S+Core architecture, support for Intel Moorestown and its new firmware interface, run-time power management support, and many other improvements and new drivers. See the full changelog for more details."
Mozilla

New Firefox Project Could Mean Multi-Processor Support 300

suraj.sun writes with this excerpt from Mozilla Links "Mozilla has started a new project to make Firefox split in several processes at a time: one running the main user interface (chrome), and another or several others running the web content in each tab. Like Chrome or Internet Explorer 8 which have implemented this behavior to some degree, the main benefit would be the increase of stability: a single tab crash would not take down the whole session with it, as well as performance improvements in multiprocessor systems that are progressively becoming the norm. The project, which lacks a catchy name like other Mozilla projects (like TaskFox, Ubiquity, or Chocolate Factory) is coordinated by long time Mozillian, Benjamin Smedberg; and also integrated by Joe Drew, Jason Duell, Ben Turner, and Boris Zbarsky in the core team. According to the loose roadmap published, a simple implementation that works with a single tab (not sessions support, no secure connections, either on Linux or Windows, probably not even based on Firefox) should be reached around mid-July."
Intel

Submission + - Not All Cores Created Equal (gcn.com)

joabj writes: "Virginia Tech researchers have found that the performance of programs running on multicore processors can vary from server to server, and even from core to core. Factors such as which core handles interrupts, or which cache holds the needed data can change from run to run. Such resources tend to be allocated arbitrarily now. As a result, program execution times can vary up to 10 percent. So if you're wondering why your code ran faster yesterday than today, and you're running it on a multiucore processor, you may want to take a look at how the CPU is handling the processes. The good news is that the VT researchers are working on a library that will recognize inefficient behavior and rearrange things in a more timely fashion."

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