Today Inspur unveiled GX4, a new flexible and high scalability AI accelerating box at ISC 2017. The GX4 is able to achieve the decoupling coprocessor resources including CPU and GPU, Xeon Phi and FPGA, expand the computing power on demand, and provide highly flexible support to various AI applications in GPU-accelerated computing. This is another innovative effort followed by the release of the ultra-high density AI supercomputer AGX-2 last month at GTC 2017 in California. “According to Jay Zhang from Inspur, the GX4 sufficiently addresses the major differences in the AI deep-learning training model, using a flexible expansion method to support different levels of AI training models, and effectively lowering energy consumption and delays. The GX4 provides a flexible and innovative AI computing solution for companies and research organizations engaged in artificial intelligence across the world.”
Intel’s Trish Damkroger on why HPC Matters at ISC 2017
In this video from ISC 2017, Trish Damkroger from Intel describes the company’s vision for HPC as more and more workloads move to the Cloud. She then goes on to preview the full week of Intel’s ISC activities. “Intel is transforming the future of high-performance computing with new tools for innovation and discovery.
How Intel is bringing AI & Machine Learning to the People
In this video from ISC 2017, Pradeep Dubey, Intel Fellow and Director of the Parallel Computing Lab at Intel, discusses how artificial intelligence impacts a wide range of industries and is driving the need for massive amounts of compute power enabled by Intel.
Video: Quantum Steps up with High Speed Parallel Storage at ISC 2017
In this video from ISC 2017, Molly Presley from Quantum describes the company’s advanced storage solutions for high performance computing. “At the core of all Quantum scale-out storage is StorNext advanced data management—engineered to tackle the world’s most demanding data-intensive workloads, with the performance and efficiency needed to cost-effectively achieve desired business results.”
Univa Contributes Universal Resource Broker to Open Source Community
Today Univa announced the contribution of its Universal Resource Broker (URB) technology to the open-source community. “Open source software is critical in the modern application container ecosystem and market, where availability, flexibility and integration can be enhanced by open source software components and frameworks.“ said Jay Lyman, principal analyst for 451 Research. “Univa’s URB also supports the variety of software – including big data, continuous integration and container management and orchestration technology – that is critical to success in enterprise IT today. “
Intel® HPC Orchestrator and OpenHPC: Trends and Directions
Sharing a common architecture, Intel® HPC Orchestrator and OpenHPC are changing the face of HPC by providing a cohesive and comprehensive system software stack. Dr. Robert Wisniewski, Chief Software Architect Extreme Scale Computing at Intel Corporation, discusses the advantages of this approach and how to leverage it to bring together HPC and the cloud.
Lustre Moves Forward: A Wrapup of LUG 2017
In this special guest feature, Sarp Oral from ORNL writes that the recent LUG Lustre User Group meeting in Indiana has set a new course for the popular parallel file system. “LUG is the premier event for the Lustre community and brings together developers, system architects and administrators, and users from all around the world to discuss the current status and future roadmap of Lustre.”
Dr. Eng Lim Goh on HPE’s Recent PathForward Award for Exascale Computing
In this video from ISC 2017, Dr. Eng Lim Goh from HPE discusses the company’s recent PathForward award as well as the challenges of designing energy efficient Exascale systems. After that, he gives his unique perspective on HPE’s “The Machine” architecture for memory-driven computing. “The work funded by PathForward will include development of innovative memory architectures, higher-speed interconnects, improved reliability systems, and approaches for increasing computing power without prohibitive increases in energy demand.”
NVIDIA Powers Top 13 Most Energy Efficient Supercomputers
Today Nvidia announced that the NVIDIA Tesla AI supercomputing platform powers the top 13 measured systems on the new Green500 list of the world’s most energy-efficient high performance computing systems. All 13 use NVIDIA Tesla P100 data center GPU accelerators, including four systems based on the NVIDIA DGX-1 AI supercomputer. “NVIDIA also released performance data illustrating that NVIDIA Tesla GPUs have improved performance for HPC applications by 3X over the Kepler architecture released two years ago. This significantly boosts performance beyond what would have been predicted by Moore’s Law, even before it began slowing in recent years.”
Video: HPE Moves HPC & Deep Learning Forward at ISC 2017
“Today, customer’s HPC requirements go beyond superior performance and efficiency,” said Bill Mannel, Vice President and General Manager, HPC and AI solutions, Hewlett Packard Enterprise. “They are also increasingly considering security, agility and cost control. With today’s announcements, we are addressing these considerations and delivering optimized systems, infrastructure management and services capabilities that provide A New Compute Experience.”
