diff --git a/content/news/2025/2025-03-27-genvector-x.md b/content/news/2025/2025-03-27-genvector-x.md new file mode 100644 index 0000000..2b77c73 --- /dev/null +++ b/content/news/2025/2025-03-27-genvector-x.md @@ -0,0 +1,20 @@ +--- +contributor: max +date: '2025-03-27T14:10:22.153253' +external_url: https://www.syclops.org/updates/2025/03/05/syclops-genvector-x +title: 'CERN: The Large Hadron Collider and the ROOT Project' +image: ../../../static/images/news/2025-05-27-cern-free-image.webp +tags: + - sycl + - syclops + - portability +--- + +CERN hosts the world’s largest particle accelerator, the LHC, where beams of particles +are accelerated and made to collide to study the fundamental structures of our universe. +The LHC produces petabytes of physics data regarding particle collisions that need to be +analysed efficiently. These collisions are expressed as operations on particles, represented +as 4-dimensional time-space vectors, also known as Lorentz Vectors. Analysing these +massive amounts of data naturally requires highly efficient and complex software solutions. + +Read more on the SYCLOPS Website. diff --git a/content/news/2025/2025-05-08-migrating-synxflow-high-performance-flood-modelling-from-cuda-to-sycl.md b/content/news/2025/2025-05-08-migrating-synxflow-high-performance-flood-modelling-from-cuda-to-sycl.md new file mode 100644 index 0000000..9be2217 --- /dev/null +++ b/content/news/2025/2025-05-08-migrating-synxflow-high-performance-flood-modelling-from-cuda-to-sycl.md @@ -0,0 +1,20 @@ +--- +contributor: max +date: '2025-05-08T14:10:22.153253' +external_url: https://www.intel.com/content/www/us/en/developer/articles/case-study/synxflow-flood-modelling-cuda2sycl-migration.html +title: 'Migrating SynxFlow High-Performance Flood Modelling from CUDA to SYCL with oneAPI' +image: ../../../static/images/news/2024-09-19-intel-water.webp +tags: + - sycl + - portability + - oneapi +--- + +The SynxFlow hydrodynamic modeling code was re-engineered using oneAPI, Intel’s implementation of SYCL, +a cross-vendor heterogeneous programming model. This transformation aimed to address limitations in GPU +compatibility and enhance scalability for next-generation Exa-Scale High-Performance Computing (HPC) systems. +The new implementation delivers improved performance, interoperability, and scalability across diverse hardware +platforms, enabling ground-breaking large-scale probabilistic forecasting with high spatial and temporal resolutions. + +The SYCL implementation and Performance tests used components of the Intel® oneAPI Base Toolkit +and Dawn, one of the UK’s newest and fastest artificial intelligence (AI) supercomputers. diff --git a/static/images/news/2025-05-27-cern-free-image.webp b/static/images/news/2025-05-27-cern-free-image.webp new file mode 100644 index 0000000..1206c6f Binary files /dev/null and b/static/images/news/2025-05-27-cern-free-image.webp differ