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AI for Any Environment, All the Time

In this special guest feature, our friends over at Advantech takes a look at the shift to edge computing environments versus large, secure data centers, a trend in stark contrast to the other end of the spectrum where large cloud providers and on-premise data centers offer a wide range of computing, networking and storage options within carefully controlled environments. Ultimately, we need both based on their respective value. But if we look deeper into what lies between the two extremes, we find the hybrid – rugged systems that bring the high-performance data center computing power and functionality to the edge. Advantech is a global leader in the fields of IoT intelligent systems and embedded platforms.

Fast Track your AI Workflows

In this special guest feature, our friends over at Inspur write that for new workloads that are highly compute intensive, accelerators are often required. Accelerators can speed up the computation and allow for AI and ML algorithms to be used in real time. Inspur is a leading supplier of solutions for HPC and AI/ML workloads.

The Role of Middleware in Optimizing Vector Processing

A new whitepaper from NEC X delves into the world of unstructured data and explores how vector processors and their optimization software can help solve the challenges of wrangling the ever-growing volumes of data generated globally. “In short, vector processing with SX-Aurora TSUBASA will play a key role in changing the way big data is handled while stripping away the barriers to achieving even higher performance in the future.”

Is Your Storage Infrastructure Ready for the Coming AI Wave?

In this new whitepaper from our friends over at Panasas, we take a look at whether your storage infrastructure is ready for the robust requirements in support of AI workloads. AI promises to not only create entirely new industries, but it will also fundamentally change the way organizations large and small conduct business. IT planners need to start revising their storage infrastructure now to prepare the organization for the coming AI wave.

Precision Medicine pushes demand for HPC at the Edge: AI on the Fly ® Delivers

In this special guest feature, Tim Miller from One Stop Systems writes that by bringing specialized, high performance computing capabilities to the edge through AI on the Fly, OSS is helping the industry deliver on the enormous potential of precision medicine. “The common elements of these solutions are high data rate acquisition, high speed low latency storage, and efficient high performance compute analytics. With OSS, all of these building block elements are connected seamlessly with memory mapped PCI Express interconnect configured and customized as appropriate, to meet the specific environmental requirements of ‘in the field’ installations.”

Case Study: Magseis Fairfield Uses a Sea of Data to Support Environmentally Responsible Energy Exploration

This whitepaper contains a compelling HPC data storage solution case study highlighting the use of Panasas ActiveStor® by Magseis Fairfield, a geophysics firm that specializes in providing seismic 3D and 4D data acquisition services to exploration and production (E&P) companies. The whitepaper, “Magseis Fairfield Uses a Sea of Data to Support Environmentally Responsible Energy Exploration,” […]

Latest Release of Intel Parallel Studio XE Delivers New Features to Boost HPC and AI Performance

Intel Parallel Studio XE is a complete software development suite that includes highly optimized compilers and math and data analytics libraries, along with comprehensive tools for performance analysis, application debugging, and parallel processing. It’s available as a download for Windows, Linux, and MacOS. “With this release, the focus is on making it easier for HPC and AI developers to deliver fast and reliable parallel code for the most demanding applications.”

GPCNeT or GPCNoT?

In this special guest feature, Gilad Shainer from Mellanox Technologies writes that the new GPCNeT benchmark is actually a measure of relative performance under load rather than a measure of absolute performance. “When it comes to evaluating high-performance computing systems or interconnects, there are much better benchmarks available for use. Moreover, the ability to benchmark real workloads is obviously a better approach for determining system or interconnect performance and capabilities. The drawbacks of GPCNeT benchmarks can be much more than its benefits.”

Full-spectrum HPC Scheduling

Our friends over at Altair explain how a meta-scheduler, or hierarchical scheduler, can be thought of as a private or team-based scheduler that uses shared underlying resources. Difficult workloads and special workloads are good candidates for meta-scheduling. Examples include sets of several hundred thousand short jobs, jobs with complex dependencies, and workflows that are continually introspected for status.

Panasas ActiveStor Solution: Architectural Overview

Panasas has released this timely new white paper “Panasas ActiveStor Solution: Architectural Overview.” The Panasas ActiveStor architecture running the PanFS storage operating system breaks through the performance constraints of other parallel file systems. The comprehensive and tightly integrated solution enables high-performance direct parallel access to petabytes of data while avoiding the stability problems inherent in legacy NAS systems as they grow.