Design Automation


New version of QNX Neutrino RTOS

4 February 2009 Design Automation

QNX has announced the availability of release 6.4.0, the latest version of the QNX Neutrino RTOS and QNX Momentics tool suite. The first major product developed under QNX’s hybrid software model, this release introduces several technologies to maximise the performance, reliability and portability of embedded systems for the automotive, industrial control, networking, military and medical industries.

With release 6.4.0, the RTOS now offers a fail-safe file system to protect critical data in the event of a sudden power failure or shutdown; a dramatically faster networking stack that supports BSD 4.0 TCP/IP; variable page size tuning for faster OS performance; certification to the POSIX PSE52 standard for greater source-code portability; 802.11 a/b/g wireless networking; improved ARMv6 memory management and vector floating point math support for ARM11 processors; symmetric multiprocessing (SMP) support for the Renesas 7786 processor; and e500 SMP support for the Freescale MPC8572 processor. In addition, QNX has entered the QNX Neutrino 6.4.0 microkernel for Common Criteria certification to the Evaluation Assurance Level 4+ (EAL4+).

The QNX Momentics tool suite also offers significant enhancements, including a high-resolution application profiler that detects sluggish areas of application code through both instrumentation and statistical sampling; support for the latest versions of the GNU toolchain (4.2.4) and Eclipse CDT (4.0.x); and JTAG debugging.

Release 6.4.0 is the first major QNX product to be developed 'live' on Foundry27, the development portal where customers and other QNX community members can access new software features and patches in realtime, download OS source code, and participate in the development of QNX products. Since its launch in September 2007, the QNX Foundry27 community has grown to more than 20 000 members, with multiple customer, partner and employee projects underway, and several active forums with large numbers of posts each month.



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