Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
The Quantum Kaleidoscope – 2022 Highlights and What to Watch in 2023
Making sense of today’s quantum computing landscape is challenging. IBM’s research chief Dario Gil says quantum computing writ large is now undeniably an industry. Jim Clarke, Intel’s quant …
Get Quantum Advantage without Quantum Devices? Yes, says Terra Quantum
Is it possible to get quantum advantage without actually using a quantum device? One Swiss start-up, Terra Quantum, says it’s not only possible but that doing so is a core part of its business …
SC22 LIVEwire Editorial Videos
• SC Conference Chair Candace Culhane
• TACC’s Vision for Leadership Computing
• Talking Carbon-free HPC with Lancium
• Frontier: From Exasperation to Exascale
Intel Quantum Wisdom: Think Quantum is Powerful? You’re Right. Think it will Happen Soon. You’re Mistaken!
December 13, 2022
Currently, Intel doesn’t have a quantum processor that potential users can access. In the fall, it launched a new quantum software development kit and simulat Read more…
Hyperion: QC Market Headed to $1.2B in 2025; Lots of Momentum but also Uncertainty
December 7, 2022
Hyperion Research delivered its latest outlook for the quantum computing market yesterday at the Q2B22 Conference, estimating revenues for 2022 will finish arou Read more…
IBM Quantum Summit: Osprey Flies; Error Handling Progress; Quantum-centric Supercomputing
December 1, 2022
Part scorecard, part grand vision, IBM’s annual Quantum Summit held last month is a fascinating snapshot of IBM’s progress, evolving technology roadmap, and Read more…
QuEra’s Quest: Build a Flexible Neutral Atom-based Quantum Computer
November 23, 2022
Last month, QuEra Computing began providing access to its 256-qubit, neutral atom-based quantum system, Aquila, from Amazon Braket. Founded in 2018, and built o Read more…
Quantum – Are We There (or Close) Yet? No, Says the Panel
November 19, 2022
For all of its politeness, a fascinating panel on the last day of SC22 – Quantum Computing: A Future for HPC Acceleration? – mostly served to illustrate the Read more…
MLCommons Issues MLPerf HPC Training Results for Larger Systems
November 14, 2022
MLCommons last week issued its third annual set of MLPerf HPC (v2.0) results intended to showcase the performance of larger systems when training more rigorous Read more…
AI Trifecta – MLPerf Issues Latest HPC, Training, and Tiny Benchmarks
November 10, 2022
MLCommons yesterday issued its latest round of MLPerf benchmarks – for Training, HPC, and Tiny. Releasing three sets of benchmarks at the same time makes pars Read more…
Quantum Annealing Pioneer D-Wave Introduces Expanded Hybrid Solver
November 3, 2022
D-Wave Systems, a pioneer in quantum annealing-based computing, today announced significant upgrades to its constrained quadratic model (CQM) hybrid solver that Read more…
SC22 Booth Videos
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
- Click Here for More Headlines
Whitepaper
A New Standard in CAE Solutions for Manufacturing
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.
Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.
Download Now
Sponsored by HPE
Whitepaper
Porting CUDA Applications to Run on AMD GPUs
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
Download Now
Sponsored by AMD
Advanced Scale Career Development & Workforce Enhancement Center
Featured Advanced Scale Jobs:
HPCwire Resource Library
-
Webcasts and webinars: Leveraging Exascale Era Technology for Advanced Computer-Aided Engineering
-
Whitepaper: Data Center File System
-
Whitepaper: 2021 Storage Technology Series
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.