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NERSC and the HPC Community Bid Farewell to Cori Supercomputer
May 17, 2023
After nearly seven years of service, thousands of user projects, and tens of billions of compute hours, the Cori supercomputer at the National Energy Research S Read more…
Top Supercomputers to Shake Up Earthquake Modeling
September 29, 2022
Two DOE-funded projects — and a bunch of top supercomputers — are converging to improve our understanding of earthquakes and enable the construction of more Read more…
Quantum Bits: AQT Touts iToffoli Gate; Atom Showcases Phoenix; QED-C Benchmarks; More
May 26, 2022
Lately the quantum news cycle never slows. More advances were reported on different underlying qubit technologies (superconducting and cold atom) by Lawrence Be Read more…
Berkeley Lab Makes Strides in Autonomous Discovery to Tackle the Data Deluge
August 2, 2021
Data production is outpacing the human capacity to process said data. Whether a giant radio telescope, a new particle accelerator or lidar data from autonomous Read more…
Supercomputers Assist Hunt for Mysterious Axion Particle
January 21, 2021
In the 1970s, scientists theorized the existence of axions: particles born in the hearts of stars that, when exposed to a magnetic field, become light particles Read more…
Supercomputer-Powered Text Mining Tool Combs Through COVID-19 Studies
May 1, 2020
The COVID-19 pandemic is producing massive amounts of data – and that data is producing a positive avalanche of academic literature. To help sift through thos Read more…
Researchers Optimize Solar Energy Research Tool for Exascale Applications
March 9, 2020
Across the world, solar energy continues to boom, comprising larger and larger shares of the countries’ energy mixes as costs per megawatt-hour continue to de Read more…
Berkeley Lab Team Improves HPC Datacenter Efficiency with Analytics
February 25, 2020
As HPC datacenters scale up, improving efficiency is crucial to avoiding correspondingly large energy use (and the ensuing high costs and large carbon footprint Read more…
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Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer
The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.
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Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
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