Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
ISC Keynote: Digital Twins Aren’t About Making Pretty Pictures
“I don’t think anybody here is ignorant of what supercomputing is,” said Rev Lebaredian, Nvidia’s vice president of Omniverse and Simulation Technology, as he opened the first keynote at …
What’s New in HPC Research: Air Pollution Prediction, nOS-V, cuHARM, Quantum Ray Tracing & More
In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, …
HPCwire’s 2023 People to Watch
Find out which 12 HPC luminaries are being recognized this year for driving innovation within their particular fields.
Eyeing Nvidia’s Omniverse for Fusion Reactor Design
March 25, 2022
With climate change accelerating and fossil fuel supplies proving increasingly contentious, ensuring a secure supply of clean energy is top-of-mind for many res Read more…
Nvidia Combines Modulus, Omniverse for Earth-2 and Other Digital Twins
March 22, 2022
An accurate digital twin can be a boon to scientific endeavors, from recreating individual buildings in a city to understand energy use to recreating the Earth’s climate system to understand the effects of policies on climate change. At GTC21, Nvidia made waves by announcing that its Modulus framework for physics-based ML models and its... Read more…
Sandia Supercomputer Model Simulates a Melting Diamond
March 11, 2022
Even the toughest materials on Earth are vulnerable under the most extreme conditions. A supercomputer simulation visualized just that by cracking, melting and Read more…
Nvidia Aims Clara Healthcare at Drug Discovery, Imaging via DGX
April 12, 2021
Nvidia Corp. continues to expand its Clara healthcare platform with the addition of computational drug discovery and medical imaging tools based on its DGX A100 platform, related InfiniBand networking and its AGX developer kit. The Clara partnerships announced during... Read more…
Exascale Aurora System Will Visualize Spreading Cancer
April 1, 2021
Aurora, to be hosted by Argonne National Laboratory, is one of three planned exascale-class systems in the U.S. While the Intel-led system has encountered a variety of conceptual transformations (it was originally planned as a pre-exascale system) and setbacks... Read more…
Titech TSUBAME Solves the Mystery of Baseball Trajectories
March 24, 2021
In professional baseball and major league baseball, pitchers often use a breaking ball called a forkball or split as a decisive pitch. These balls are known to Read more…
The History of Supercomputing vs. COVID-19
March 9, 2021
The COVID-19 pandemic poses a greater challenge to the high-performance computing community than any before. HPCwire's coverage of the supercomputing response t Read more…
Australian Supercomputer Research Dives Down Under Melting Ice Shelves
February 12, 2021
Virtually all of the expected sea level rise from climate change will result from the melting of massive ice sheets and glaciers that rest comfortably above sea Read more…
SC22 Booth Videos
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
- Click Here for More Headlines
Whitepaper
Streamlining AI Data Management
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.
Download Now
Sponsored by DDN
Whitepaper
Taking research further with extraordinary compute power and efficiency
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
Download Now
Sponsored by Lenovo
Advanced Scale Career Development & Workforce Enhancement Center
Featured Advanced Scale Jobs:
HPCwire Resource Library
-
Whitepaper: Reducing Bias and Increasing Accuracy in AI Models
-
Whitepaper: A New Standard in CAE Solutions for Manufacturing
-
Whitepaper: Porting CUDA Applications to Run on AMD GPUs
-
Whitepaper: QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads
-
Webcasts and webinars: Leveraging Exascale Era Technology for Advanced Computer-Aided Engineering
-
Whitepaper: Data Center File System
HPCwire Product Showcase
© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.