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


XTREME-D IaaS Platform Works to Simplify HPC Cloud Cluster Management

An IaaS platform can help keep HPC cloud cluster users out of the cluster management business. A new white paper from XTREME-D, “Point and Click HPC: The XTREME-Stargate IaaS Platform”, explores how the Stargate platform, that provides a web portal to cluster resources, can increase user efficiency, eliminate cluster administration costs and acts as a “pay-as-you-go” cloud model, simplifying HPC cloud clusters and making them more accessible.

Deconstructing the Complexities of the Data Pipeline for Connected Cars

A connected car can generate up to a gigabyte of data per day, and perhaps even more. Impressively, it is estimated that there are approximately 2 million connected cars on our roadways at this very moment. This means the storage demands can be up to 200 exabytes per day. IBM walks readers through the complexities of the data pipeline for connected cars, and how to address these challenges and storage questions. 

Solving the Data Management Challenge of Autonomous Driving

The action of driving an automobile is destined to take a very different route in the coming years as autonomous cars become commonplace on our roadways. The notion of autonomous driving is both scary and exciting, pushing the boundaries of what we know. IBM takes a look at one of the most vexing technology challenges posed by autonomous vehicles: how to manage all the data used in artificial intelligence development.

The Right Terminations for Reliable Liquid Cooling in HPC

High performance computing manufacturers are increasingly deploying liquid cooling. To avoid damage to electronic equipment due to leaks, secure drip-free connections are essential. Quick disconnects for HPC applications simplify connector selection. And with expensive electronics at stake, understanding the components in liquid cooling systems is critical. This article details what to look for when seeking the optimal termination for connectors—a way to help ensure leak-free performance.

Parabricks and SkyScale Raise the Performance Bar for Genomic Analysis

“In the modern world of genomics where analysis of 10’s of thousands of genomes is required for research, the cost per genome and the number of genomes per time are critical parameters. Parabricks adaption of the GATK4 Best Practice workflows running seamlessly on SkyScale’s Accelerated Cloud provides unparalleled price and throughput efficiency to help unlock the power of the human genome.”

How to Control the AI Tsunami

Clients tell us there is a wide range of users beyond data scientists that want to get in on the AI action as well, so we recently updated LiCO with new “Lenovo Accelerated AI” training and inference templates. These templates allow users to simply bring their dataset into LiCO and request cluster resources to train models and run inference without coding.”

Making Storage Bigger on the Inside

This sponsored post from HPE delves into how tools like HPE Data Management Framework are working to make HPC storage “bigger on the inside” and streamline data workflows. “DMF seamlessly moves data between tiers, whether they’re “hot” tiers based on flash storage, “warm” tiers based on hard drives or “cold tiers based on tape.”

The Rising AI Tide in HPC – Are You Ready?

This guest article from Dr. Bhushan Desam, Lenovo’s Director, Global Artificial Intelligence Business covers how new HPC tools like Lenovo’s LiCO (Lenovo Intelligent Computing Orchestration) are working to address the growing popularity of AI in HPC and to simplify the convergence of HPC and AI. 

Cloud and Enterprise Adopting HPC-proven CPU-based Interactive, Photorealistic Rendering

The TACC Frontera supercomputer, which will become the fastest academic supercomputer in the United States when it becomes operational in 2019, will rely on CPUs for visualization. “The ability to run and visualize anywhere with SDVis solutions, regardless of the scale of the visualization task and without requiring specialized hardware for interactive response, is the reason HPC centers no longer need to procure GPUs for visualization clusters.”

Intel Performance Libraries Accelerate Python Performance for HPC and Data Science

Python is now the most popular programming language, according to IEEE Spectrum’s fifth annual interactive ranking of programming languages, ahead of C++ and C. Recent Intel Distributions for Python show that real HPC performance can be achieved with compilers and library packages optimized for the latest Intel architectures. Moreover, the library packages targeted for big data analysis and numerical computation included in this distribution now support scaling for multi-core and many-core processors as well as distributed cluster and cloud infrastructures.