Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


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.

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.

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.”

Cloud Adoption for HPC: Trends and Opportunities

This whitepaper is an insideHPC Special Research Report sponsored by Univa® Corporation: Cloud Adoption for HPC:
Trends and Opportunities. Recently, InsideHPC ran a survey, sponsored by Univa, to identify the trends and opportunities for adoption of HPC workflows in the cloud. There were 143 respondents: 39% academic/non-profit, 17%  manufacturing or engineering, 11% government research; 59% North America, 24% Europe, 8% Asia; 59% with less than 20,000 employees. This whitepaper is a summary of what was learned from this survey.

Are You Ready for the Exascale Era? Find Out at SC19

As we head into the biggest supercomputing event of the year, all eyes are on exascale. The frontrunners in the race to exascale, including our friends over at Altair, will convene at SC19 in Denver this November to share updates, address challenges, and help paint the picture of an exascale-fueled future for HPC.

Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters

In this whitepaper QCT (Quanta Cloud Technology) highlights Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters. The company is offering its QCT Platform on Demand (QCT POD) solution that empowers enterprises to kickstart their transformation journey. It combines advanced technology with a unique user experience to help enterprises reach better performance and gain more insights. With flexibility and scalability, QCT POD enables enterprises to address a broader range of HPC, Deep Learning, and Data Analytic demands that fulfill various applications.

A Liquid Cooling Petascale Supercomputing Site and GROMACS Workload Optimization Benchmark

Accelerated computing have been viewed as revolutionary breakthrough technologies for AI and HPC workloads. Significant accelerated computing power from GPUs paired with CPUs is the major contributor. Our friends over at Quanta Cloud Technology (QCT) provide QuantaGrid D52G-4U 8 NVLink GPUs servers with a liquid cooling platform successfully adopted by the National Center of High-performance Computing (NCHC) in Taiwan) for their Taiwania-II project. Rank 23rd on the Top500 as of June 2019.