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State of SYCL – ECP BOF Showcases Progress and Performance
February 28, 2023
Enabling interoperability across U.S. exascale supercomputers is one of the chief goals for the U.S. Exascale Computing Project (ECP), which has broadly oversee Read more…
15 Slides on Right and Wrong Ways to Program GPU-based US Leadership Supercomputers
March 2, 2022
U.S. leadership computers today are giant GPU-based machines, whether you’re talking about the pre-exascale Summit supercomputer in operation today at the Oak 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…
SYCL 2020 Launches with New Name, New Features, and High Ambition
February 9, 2021
The Khronos Group today formally launched SYCL 2020, the parallel programming framework based on IS0 standard C++ that has been gaining traction in HPC and will Read more…
15 Slides on Programming Aurora and Exascale Systems
May 7, 2020
Sometime in 2021, Aurora, the first planned U.S. exascale system, is scheduled to be fired up at Argonne National Laboratory. Cray (now HPE) and Intel are the k Read more…
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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.
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