The move to network offloading is the first step in co-designed systems. A large amount of overhead is required to service the huge number of packets required for modern data rates. This amount of overhead can significantly reduce network performance. Offloading network processing to the network interface card helped solve this bottleneck as well as some others.
“When the history of HPC is viewed in terms of technological approaches, three epochs emerge. The most recent epoch, that of co-design systems, is new and somewhat unfamiliar to many HPC practitioners. Each epoch is defined by a fundamental shift in design, new technologies, and the economics of the day. “A network co-design model allows data algorithms to be executed more efficiently using smart interface cards and switches. As co-design approaches become more mainstream, design resources will begin to focus on specific issues and move away from optimizing general performance.”
A single issue has always defined the history of HPC systems: performance. While offloading and co-design may seem like new approaches to computing, they actually have been used, to a lesser degree, in the past as a way to enhance performance. Current co-design methods are now going deeper into cluster components than was previously possible. These new capabilities extend from the local cluster nodes into the “computing network.”
With the release of high wattage processors liquid cooling is becoming a necessity for HPC data centers. Liquid cooling’s ability to provide the direct removal of heat from these high wattage components within the servers is well established. However, there are sometimes concerns from facilities management that need to be addressed prior to liquid cooling’s introduction to the data center.
Advancements in video technology have slowly pushed applications like video editing, video rendering and video storage editing into the High Performance Computing world. There are many different video editing programs that can cut, trim, re-sequence, and add sound, transitions and special effects to video. But with the introduction of 4K/8K video, a simple laptop isn’t powerful enough on its own anymore, especially for online editing.
At ISC 2016, HPE introduced new high-performance computing solutions that aim to accelerate HPC adoption by enabling faster time-to-value and increased competitive differentiation through better parallel processing performance, reduced complexity, and faster deployment time. “By combining these latest advancements in Intel Scalable System Framework with the scalability, flexibility and manageability of the HPE Apollo portfolio, customers will gain new levels of performance, efficiency and reliability. In addition, customers will be able to run HPC applications in a massively parallel manner with minimal code modification.”
For decades, Intel has been enabling insight and discovery through its technologies and contributions to parallel computing and High Performance Computing (HPC). Central to the company’s most recent work in HPC is a new design philosophy for clusters and supercomputers called Intel® Scalable System Framework (Intel® SSF), an approach designed to enable sustained, balanced performance as the community pushes towards the Exascale era.
In this video, CoolIT Systems CEO & CTO, Geoff Lyon, reveals details on the company’s next generation liquid cooling solutions for HPC, Cloud and Enterprise markets during ISC HPC 2016 in Frankfurt. Discussion highlights include OEM server solutions, customer case studies, product launches and more. “To learn more about how CoolIT Systems products and solutions maximize data center performance and efficiency whilst significantly reducing OPEX and overall TCO, visit www.coolitsystems.com.”
In this video from ISC 2016, Bill Bryce from Univa describes the company’s innovative container technology helps customers manage their computing workloads with Univa Grid Engine. “Grid Engine 8.4.0 has many significant updates including Docker support and integration with the new Intel Xeon Phi processor,” said Bill Bryce, Vice President of Products at Univa. “This latest release will allow a user or administrator to schedule jobs so that the right business-critical jobs are prioritized over other workloads-thus maximizing shared resources and allowing Univa customers to gain velocity.”
In this video from ISC 2016, Gabriel Broner from SGI describes the company’s innovative solutions for high performance computing. “As the trusted leader in high performance computing, SGI helps companies find answers to the world’s biggest challenges. Our commitment to innovation is unwavering and focused on delivering market leading solutions in Technical Computing, Big Data Analytics, and Petascale Storage. Our solutions provide unmatched performance, scalability and efficiency for a broad range of customers.”