In the race to harness ever-more-powerful computing resources, we’ve created an unexpected bottleneck: our own code. Today, the brightest minds in scientific computing face challenges not from hardware limitations, but from adapting existing applications to new architectures. What should be a straightforward path to acceleration has instead become a detour that can consume years of … continue reading
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