Penguin Computing just announced the Altus Altus 2a30, a building block for the first application optimized accelerated processing unit (APU) clusters, making seamless GPU and CPU memory sharing on clusters a reality based on heterogeneous system architecture (HSA) from AMD. The shared memory capability involves very lightweight context switches to switch instantaneously between the GPU and CPU, whichever code runs best at a given moment.
Today AMD announced that for the third straight year it was awarded research grants for development of critical technologies needed for extreme-scale computing in conjunction with projects associated with the U.S. Department of Energy (DOE) Extreme-Scale Computing Research and Development Program, known as “FastForward 2.”
AMD has announced a new set of software development tools and solutions to optimize their applications for OpenCL standards, allowing developers to create systems more quickly based on AMD’s new Fusion Family of Accelerated Processing Units (APUs). “AMD is working closely with the developer community to make it easier to bring the benefits of heterogeneous […]