Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
Optical I/O Technology Needed for Zettascale, Say Top Chipmakers
March 16, 2023
Optical I/O is being singled out by top companies to push computing beyond exascale and into zettascale. The technology was singled out in a recent speech by AM Read more…
Frontier to Meet 20MW Exascale Power Target Set by DARPA in 2008
July 14, 2021
After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…
DARPA Expands Access to Chip IP
December 17, 2020
The Pentagon’s premiere R&D agency is expanding an initiative designed to provide technology startups with broader access to semiconductor and other intellectual property in hopes of stimulating innovation. The Defense Advanced Research Projects Agency said this week... Read more…
New DARPA Director Brings AI Expertise
August 31, 2020
The Pentagon’s top research agency is extending its technology chops with the appointment of a new director with extensive industry experience in strategic se Read more…
DARPA Chip Effort Pivots to Securing US Supply Chain
August 24, 2020
A three-year-old Defense Department electronics initiative is bearing fruit in the form of public-private partnerships in areas ranging from post-Moore’s law Read more…
Chip Proposals Seek to Revive US Manufacturing
June 26, 2020
Legislation introduced in the U.S. House and Senate seeks to revive the U.S. semiconductor industry via a roughly $12 billion spending package and tax incentive Read more…
DARPA Looks to Automate Secure Silicon Designs
May 28, 2020
The U.S. military is ramping up efforts to secure semiconductors and its electronics supply chain by embedding defenses during the chip design phase. The automa Read more…
ColdQuanta – Life in Quantum’s Slow (and Cold) Lane Heats Up
April 23, 2020
Work using cold atoms to leverage quantum effects for useful applications isn’t new. Think, for example, of atomic clocks and various sensing devices. But put Read more…
- Click Here for More Headlines
Leading Solution Providers
ISC 2023 Booth Videos
 |
 |
 |
 |
 |
Whitepaper
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.
Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.
Download Now
Sponsored by ANSYS
Whitepaper
How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud
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 TotalCAE
Advanced Scale Career Development & Workforce Enhancement Center
Featured Advanced Scale Jobs:
HPCwire Resource Library
-
Whitepaper: Streamlining AI Data Management
-
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
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.