Parallel STL now makes it possible to transform existing sequential C++ code to take advantage of the threading and vectorization capabilities of modern hardware architectures. It does this by extending the C++ Standard Template Library with an execution policy argument that specifies the degree of threading and vectorization for each algorithm used.
[SPONSORED GUEST ARTICLE] How exascale systems have been stood up has been recounted in detail, as has the dramatic moment when Frontier achieved exascale status. Now the focus has shifted to the work research organizations are doing with exascale, how it’s actually changing the world ….
Projected to reach $11.5 billion by 2026, the cloud market for HPC workloads has seen a significant shift in buying behavior. This is driven partly by the demands of artificial intelligence (AI) and machine learning (ML) workloads, with cloud computing becoming a critical environment. Hyperion Research highlights how nearly every organization adopting high performance computing […]
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