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Building Oracle Cloud Infrastructure with Bare-Metal

In this video, Taylor Newill from Oracle describes how the Oracle Cloud Infrastructure delivers high performance for HPC applications. “From the beginning, Oracle built their bare-metal cloud with a simple goal in mind: deliver the same performance in the cloud that clients are seeing on-prem.”

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.

Video: Large scale industrial simulations using HPC at Rolls-Royce

Leigh Lapworth from Rolls-Royce gave this talk at m Computing Systems Week Edinburgh 2019. “Simulation and modeling, enabled by high performance computing, have transformed the way Rolls-Royce designs and engineers its products. Every advance in computing power unlocks the power to do more with simulation and modeling whether this is larger models to give higher fidelity; or, higher throughput of models to explore a larger part of the design space.”

D-Wave Announces First European Leap Quantum Cloud Site at Jülich

Today D-Wave Systems announced that it will house its first European Leap quantum cloud-based system outside of North America at the Jülich Supercomputing Center in Germany. The system marks the cornerstone of the new Jülich UNified Infrastructure for Quantum computing (JUNIQ) lab designed to offer practically usable quantum computers to researchers in Germany and throughout Europe.

Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job

In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.

HPE Hybrid HPC Early Access Program for your Hybrid HPC Journey

This timely article from our friends over at HPE provides the following key takeaways: HPE Hybrid HPC provides you choice to meet demanding workload needs; HPE is committed to your success by offering their Early Access Program (EAP); Take advantage of HPE’s strategically assembled partner ecosystem to maximize success.

Heterogeneous Computing: Long Live the CPU

In this guest article, our friends at Intel discuss how the company is investing in heterogeneous computing. Intel recently spoke about supporting heterogeneous computing with the catch phrase “One Size Does Not Fit All” in talking about software and Intel’s commitment to help programmers with oneAPI.

Taming the Cost of HPC in the Cloud

This timely article from our friends over at Univa examines methods for reigning in costs for managing HPC in the cloud, specifically moving beyond cloud automation to cloud expense management. Three proactive approaches for managing costs in the cloud are provided. Special focus is given to Univa’s Navops Launch which is among the first of a new generation of HPC cloud automation tools that combines multi-cloud provisioning, cloud-service expense management, and tight integrations with Univa Grid Engine, and open-source SLURM workload managers both widely used in HPC centers.

HPC in the Cloud Offers Flexible, Scalable Solutions for Enterprises and Research Institutions

In this guest article, our friends at Intel discuss how HPC as a Service (HPCaaS) reduces barriers to HPC and offers a cost-effective extension to on-premise solutions. High performance data analytics (HPDA), simulation and modeling, and artificial intelligence (AI) enable significant benefits like quicker business insights, the ability to design and bring products to market faster, or real-time monitoring of financial transactions for fraud.

Video: AI for Science

Rick Stevens from Argonne gave this talk at the HPC User Forum. “Argonne has launched an “AI for Science” initiative aimed at accelerating the development and adoption of AI approaches in scientific and engineering domains with the goal to accelerate research and development breakthroughs in energy, basic science, medicine, and national security, especially where we have significant volumes of data and relatively less developed theory. AI methods allow us to discover patterns in data that can lead to experimental hypotheses and thus link data driven methods to new experiments and new understanding.”