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…
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…
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…
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…
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…
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…
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…
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…
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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.
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