In this podcast, the Radio Free HPC team looks at the new OpenCAPI interconnect standard. “Released this week by the newly formed OpenCAPI Consortium, OpenCAPI provides an open, high-speed pathway for different types of technology – advanced memory, accelerators, networking and storage – to more tightly integrate their functions within servers. This data-centric approach to server design, which puts the compute power closer to the data, removes inefficiencies in traditional system architectures to help eliminate system bottlenecks and can significantly improve server performance.”
Today AMD announced that the Alibaba Cloud will use AMD Radeon Pro GPU technology to help expand its cloud computing offerings and accelerate adoption of its cloud-based services. “The partnership between AMD and Alibaba Cloud will bring both of our customers more diversified, cloud-based graphic processing solutions. It is our vision to work together with leading technology firms like AMD to empower businesses in every industry with cutting-edge technologies and computing capabilities,” said Simon Hu, president of Alibaba Cloud.
“IBM has decided to double down on our commitment to open standards and enablement of industry innovation by opening up access to our CAPI technology to the entire industry. With the support of our OpenCAPI co-founders, we have created a new OpenCAPI specification that tremendously improves performance over our prior specification and IBM will be among the first to implement it with our POWER9 products expected in 2017.”
In this video from the 2016 HPC User Forum in Austin, a select panel of HPC vendors describe their disruptive technologies for high performance computing. Vendors include: Altair, SUSE, ARM, AMD, Ryft, Red Hat, Cray, and Hewlett Packard Enterprise. “A disruptive innovation is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market leading firms, products and alliances.”
“AMD has been away from the HPC space for a while, but now they are coming back in a big way with an open software approach to GPU computing. The Radeon Open Compute Platform (ROCm) was born from the Boltzmann Initiative announced last year at SC15. Now available on GitHub, the ROCm Platform bringing a rich foundation to advanced computing by better integrating the CPU and GPU to solve real-world problems.”
The Central Processing Unit (CPU) has been at the heart of High Performance Computing (HPC) for decades. However, in recent years, advances in parallel processing technology mean the landscape has changed dramatically. To learn more download this white paper.
AMD’s motivation for developing these open-source GPU tools is based on an opportunity to remove the added complexity of proprietary programming frameworks to GPU application development. “If successful, these tools – or similar versions – could help to democratize GPU application development, removing the need for proprietary frameworks, which then makes the HPC accelerator market much more competitive for smaller players. For example, HPC users could potentially use these tools to convert CUDA code into C++ and then run it on an Intel Xeon co-processor.”
The Heterogeneous System Architecture (HSA) Foundation has released the HSA 1.1 specification, significantly enhancing the ability to integrate open and proprietary IP blocks in heterogeneous designs. The new specification is the first to define the interfaces that enable IP blocks from different vendors to communicate, interoperate and collectively compose an HSA system.
Today AMD announced the Multiuser GPU (MxGPU) for blade servers, a new graphics virtualization solution that provides workstation-class experience. Now available HPE ProLiant WS460c Gen9 blade servers, the AMD FirePro S7100X GPU is the industry’s first and only hardware-virtualized GPU that is compliant with the SR-IOV (Single Root I/O Virtualization) PCIe virtualization standard. The AMD FirePro S7100X GPU is […]
Today Bright Computing announced that Sri Sathya Sai Institute of Higher Learning (SSSIHL) in India has chosen Bright infrastructure management technology to manage its HPC environment. This heterogeneous and hybrid cluster at SSSIHL is the first step towards achieving a self-sufficient HPC facility for the Institute’s research work, and we are pleased that Bright is […]