May 1, 2023
A new report from Los Alamos National Lab sounds alarms over the declining number of Fortran programmers, the shrinking number of efforts to teach Fortran, and Read more…
November 23, 2022
With SC22 in the rearview mirror, it’s time to get back to the 2022 Great American Supercomputing Road Trip. To refresh everyone’s memory, I jumped in the c Read more…
October 22, 2022
When complete, the Crossroads supercomputer at Los Alamos National Laboratory (LANL) is expected to deliver quadruple the performance of LANL’s already-powerful Trinity supercomputer (20.16 Linpack petaflops). Now, the first phase of Crossroads – called “Tycho” – has been successfully installed at the lab, with the... Read more…
May 30, 2022
In March, Nvidia unveiled its two new Grace Superchips: the Grace CPU Superchip, aimed at datacenters, comprises dual Arm-based Grace CPU chips; the Grace Hopper Superchip, meanwhile, combines a Grace CPU with a Hopper GPU in a single SoC. Now, at ISC 2022... Read more…
March 17, 2022
In late 2020, Los Alamos National Laboratory (LANL) — which operates under the Department of Energy’s National Nuclear Security Administration (NNSA) — co Read more…
February 25, 2022
The Covid-19 pandemic has brought into sharp relief how small elements of a virus can play a crucial role in combating it with therapeutic drugs and vaccines. I Read more…
October 9, 2021
X chromosome inactivation equalizes the active X chromosomes between mammals with two X chromosomes and mammals with one X and one Y chromosome – however, the Read more…
April 5, 2021
Tape storage has dominated high-volume data storage for many decades, and with data production continuing to grow exponentially, researchers are eager to find a Read more…
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.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
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.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
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