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A Big Step Forward: Moving Ginkgo to oneAPI

 
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Manage episode 298135582 series 1017507
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Ginkgo is a production-ready, sparse linear algebra library used for HPC on GPU architectures. It’s now using oneAPI cross-architecture programming to support its foundational design with a high level of performance portability, and focus on software sustainability. ExpertsHartwig Anzt at Karlsruhe Institute of Technology (KIT) and Univ. of Tennessee, and Terry Cojean of KIT provide their insights on lessons learned moving CUDA code to other hardware architectures, and tools that help smooth that transition. “…The oneAPI ecosystem has proven to be a very powerful and useful option for us to actually target different architectures that are all supported by oneAPI…” Listen in. [21:19]

Guests:
Hartwig Anzt, research scientist at University of Tennessee, and group leader at Karlsruhe Institute of Technology (KIT)
Terry Cojean, lead developer of Ginkgo software at KIT
George Silva, Intel academic programs – program manager

To learn more:
Ginkgo project (GitHub)
Ginkgo project using oneAPI (Intel DevMesh)
Intel oneAPI Toolkits | Intel DPC++ Compatibility Tool| Free Download of Intel oneAPI Base Toolkit
Intel DevMesh for oneAPI projects

  continue reading

86 episodes

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A Big Step Forward: Moving Ginkgo to oneAPI

Intel

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published

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Archived series ("Inactive feed" status)

When? This feed was archived on September 08, 2022 18:08 (1+ y ago). Last successful fetch was on August 08, 2022 22:24 (1+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 298135582 series 1017507
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Ginkgo is a production-ready, sparse linear algebra library used for HPC on GPU architectures. It’s now using oneAPI cross-architecture programming to support its foundational design with a high level of performance portability, and focus on software sustainability. ExpertsHartwig Anzt at Karlsruhe Institute of Technology (KIT) and Univ. of Tennessee, and Terry Cojean of KIT provide their insights on lessons learned moving CUDA code to other hardware architectures, and tools that help smooth that transition. “…The oneAPI ecosystem has proven to be a very powerful and useful option for us to actually target different architectures that are all supported by oneAPI…” Listen in. [21:19]

Guests:
Hartwig Anzt, research scientist at University of Tennessee, and group leader at Karlsruhe Institute of Technology (KIT)
Terry Cojean, lead developer of Ginkgo software at KIT
George Silva, Intel academic programs – program manager

To learn more:
Ginkgo project (GitHub)
Ginkgo project using oneAPI (Intel DevMesh)
Intel oneAPI Toolkits | Intel DPC++ Compatibility Tool| Free Download of Intel oneAPI Base Toolkit
Intel DevMesh for oneAPI projects

  continue reading

86 episodes

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