The Qt Project is proud to announce the final release of Qt 5. It is the latest version of the Qt C++ UI framework and the foundation for a new way of developing applications, where Qt Quick is in the center of Qt. Qt 5 continues to offer all of the power of native Qt C++ enabling highly sophisticated user experiences, offering applications the full capabilities of OpenGL/OpenGL ES graphics acceleration. Planning has already started for an even greater role of OpenGL in Qt 5.1.
Vivante Corporation announced another major milestone in its leading multi-core GPU IP family: The world’s tiniest GPU core designed to support the Khronos Group’s OpenGL ES 3.0 API based on the GC880 IP leveraging the same ScalarMorphic technology of Vivante’s industry leading multi-core ultra-threaded GPU cores. This core is in mass production powering multiple customer silicon products used in mobile, automotive, IPTV, and other embedded and Internet enabled devices. Product is based on a published Khronos OpenGL ES 3.0 Specification, and is expected to pass the Khronos Conformance Testing Process.
AMD has released the V1.0 of CodeXL, a unified developer tool suite that enables developers to quickly and easily identify performance issues and programming errors in applications, without requiring source code modifications.
OpenCL News is reporting that the new APP SDK 2.8 includes dozens of new and improved samples for OpenCL, Aparapi and C++ AMP that deliver significantly faster performance than APP SDK 2.7 – up to 2.3x faster on average in nine key benchmarks. The APP SDK 2.8 also includes a preview version of AMD’s new open source C++ template library, codename “Bolt.”
The ACW 2012 Committee cordially invites you to join them for the Accelerated Computing Workshop at OzViz 2012. This year the workshop will be held on December 5th in Perth, WA. ACW is an co-located event that coincides with OzViz 2012. It serves as a platform for researchers, students, and practitioners working in the domains of computational science, and/or visual computing to share their work and techniques they’ve developed for targeting advanced parallel hardware architectures (such as multi-core CPUs APUs, GPUs, MIC, FPGAs).