Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
Solving Heterogeneous Programming Challenges with Python, Today
June 30, 2022
You may be surprised how ready Python is for heterogeneous programming, and how easy it is to use today. Our first three articles about heterogeneous programming focused primarily on C++ as we ponder “how to enable programming in the face of an explosion of hardware diversity that is coming?” For a refresher on what motivates this question... Read more…
Reflecting on the 25th Anniversary of ASCI Red and Continuing Themes for Our Heterogenous Future
April 26, 2022
In the third of a series of guest posts on heterogeneous computing, James Reinders shares experiences surrounding the creation of ASCI Red and ties that system' Read more…
Why SYCL: Elephants in the SYCL Room
February 3, 2022
Commentary -- In the second of a series of guest posts on heterogeneous computing, James Reinders, who returned to Intel last year after a short “retirement, Read more…
Solving Heterogeneous Programming Challenges with SYCL
December 8, 2021
In the first of a series of guest posts on heterogenous computing, James Reinders, who returned to Intel last year after a short “retirement,” considers how SYCL will contribute to a heterogeneous future for C++. Reinders digs into SYCL from multiple angles... Read more…
PGAS Use will Rise on New H/W Trends, Says Reinders
May 25, 2017
If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…
Exiting Intel, James Reinders Offers a Brief Personal Retrospective
June 6, 2016
You may have heard that Intel has encouraged “long timers” (like me) to consider early retirement. Well, the offer was convincing for me. After 10,001 days at Intel, it is time for me to start the next phase of my life. I've accepted the “ERP offer” (early retirement) with my last day being June 24, 2016 (exactly 10,000 days after my start date). I’ll be in the office as much as needed to help transitions and wrap things up. Let me know if you need/want anything from me as I finish up. Read more…
James Reinders: Parallelism Has Crossed a Threshold
February 4, 2016
Is the parallel everything era here? What happens when you can assume parallel cores? In the second half of our in-depth interview, Intel's James Reinders discu Read more…
A Conversation with James Reinders
January 21, 2016
As Chief Evangelist of Intel Software Products, James Reinders spends most of his working hours thinking about and promoting parallel programming. He’s ess Read more…
- Click Here for More Headlines
Leading Solution Providers
SC22 Booth Videos
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
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.