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’s High Performance Computing environments are more demanding than ever. To meet the needs of complex simulations and ever-increasing massive workloads, HPC clusters need to support faster, high core count processors, coprocessors, and higher node count clusters. Performance is key … but at what cost? In this webinar, you will learn about the factors that drive fabric performance and their impact on your investment in HPC; How the fabric is a key component of your overall HPC solution; and performance and price comparisons of some of the fabric choices available to you today.”
“The Relion 2808GT was designed to deliver maximum compute power with a minimal datacenter footprint and maximum efficiency. The system supports eight GPUs or coprocessors in two rack units and provides a higher compute density that any other server on the market. Configured with eight NVidia GPUs or eight Intel Xeon Phi co-processors a single Relion 2808GT can achieve over 8TFLOPs of double precision floating point peak performance.”
“Penguin Computing is the largest private supplier of complete high performance computing (HPC) solutions in North America and has built and operates the leading specialized public HPC cloud service Penguin Computing on Demand (POD). Penguin Computing also applies its core expertise in the field of distributed large-scale enterprise computing delivering scale-out compute, storage, virtualization, and cloud solutions for organizations looking to take advantage of modern open data center architectures.”