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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.

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.

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,” […]

Micron Acquires Machine Learning Startup from Purdue

Micron has acquired FWDNXT, a machine learning software and hardware startup that spun out of Purdue. Micron is integrating FWDNXT’s artificial intelligence hardware and software technology with its advanced memory to explore deep learning solutions for data analytics, particularly in IoT and edge computing. “Purdue provided the entrepreneurial resources to help me achieve my vision of taking our work on machine learning and deep learning technology to a much wider audience where we can have a bigger impact,” said Eugenio Culurciello, Micron fellow and chief machine learning architect.

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.

The GigaIO FabreX Network – New Frontiers in Networking For Big Data

GigaIO has developed a new whitepaper to describe GigaIO FabreX, a fundamentally new network architecture that integrates computing, storage, and other communication I/O into a single-system cluster network, using industry standard PCIe (peripheral component interconnect express) technology.

2nd Generation Intel® Xeon® Scalable Processors Demonstrate Amazing HPC Performance

In this guest article, our friends at Intel discuss how benchmarks show key workloads average 31% better on Intel Xeon Platinum 9282 than AMD EYPC “Rome” 7742. Intel analysis provides strong evidence that the 2nd Generation Intel Xeon Scalable Processor (Cascade Lake “CLX”) architecture provides dramatic performance for real-world workloads. An impressive array of benchmarks shows 2S systems built with Intel’s 56 core processors (Intel Xeon Platinum 9282 processor) solidly ahead of systems built with AMD’s 64 core processors (AMD EYPC 7742).

Cloud Adoption for HPC: Trends and Opportunities

This whitepaper is an insideHPC Special Research Report sponsored by Univa. “Today many organizations solve their most difficult computational challenges by creating their own on-premises, compute-intensive, high performance data center. The latest hardware and software innovations have removed barriers that prevented many organizations from embracing HPC solutions. With more enterprises extending their own on-premises clusters into the cloud with hybrid configurations, finding the right tools for managing and scheduling workflows and automatically controlling cost remains a critical challenge.”