Engineering Computing News
Engineering Computing Resources
November 28, 2014
Penguin Computing, a provider of high-performance computing, has launched the first application optimized accelerated processing unit (APU) clusters. This enables graphic processing unit (GPU) and CPU memory sharing on clusters based on AMD‘s heterogeneous system architecture.
Named Jäätikkö, the cluster combines 10 AMD APU compute nodes plus a head node based on Penguin’s Altus 2A30 development platform with high-performance Ethernet. Its shared memory capability involves lightweight context switches to instantaneously switch between GPU and CPU, the company states.
“Initial feedback from early adopters reinforces our belief that this collaboration with Penguin Computing is an important step forward for the industry,” said Karl Freund, corporate vice president, Product Management and Market, Server Business Unit, AMD. “The potential of modern heterogeneous architectures is exciting, and collaborations such as these can result in significant steps forward in performance for a broad range of software applications.”
Sources: Press materials received from the company and additional information gleaned from the company’s website.