For the third consecutive year, AMD invites computing innovators, developers and researchers in the rapidly growing field of heterogeneous computing to submit their latest work and research findings in the form of archival presentations for AMD’s annual developer summit.
The HSA Foundation, known as the “HSAF”, is an open, industry standard consortium founded to define and deliver open standards and tools for hardware and software to fully take advantage of high performance of parallel compute engines, and do so in the lowest possible power envelope.
It is known that NVIDIA dominates the HPC market with their Tesla GPU cards. In response AMD have launched new FirePro S series of graphic cards. The FirePro S series will be composed by the FirePro S9000 and FirePro S7000.
Oracle is now turning to hardware acceleration to speed up Java by utilizing GPUs. A new project to explore whether it is possible to seamlessly boost Java applications by getting the Java Virtual Machine to take advantage of a GPU has been jointly proposed by Oracle and AMD on the OpenJDK mailing list
AMD has used the Siggraph 2012 exhibition in Los Angeles to launch four workstation-class graphics cards in its FirePro range. The new line of GPUs and APUs is aimed for users looking for high-end computational and graphics performance.
Some of the biggest names in high tech came together in June and announced the formation of the Heterogeneous System Architecture (HSA) Foundation.
AMD’s GCN Architecture comes at a time of change for the industry. Graphics is an increasingly important part of the user experience, and a crucial component for SoCs that integrate CPUs and GPU side-by-side. The mandate for GPUs is expanding to include not just 3D rendering, but new general purpose, heterogeneous applications such as facial recognition, which are only feasible using the parallel performance of the GPU.
Last week AMD opened their AFDS summit with a new unified profiling and debugging tool CodeXL for both CPUs and GPUs. CodeXL brings together the GPU and CPU compute tools to enable faster and more robust development of OpenCL and OpenGL accelerated applications