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In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, [.]
puttingputting this all out? it can give the impression that american culture changes when you cross the state line, particularly the mason dixon line. that s bs. in a time when our differences are violently exaggerated by social media platforms as well as politicians, all trying to profit from our polarization, even provoking some sick talk about a second civil war, it is really important to remember that there is still far more that unites us than divides us. that s where baseball comes in. it remains one of the great uniters in our nation. it connects the generations, combining individual and collective achievement, captured in statistics that allow the direct comparisons of players from different eras, it provokes intense competition and conversation, respect for the rules amid the good natured ribbing of rivalries, rooted in joy and disappointment that ripens over time into shared memory, a shared love of the game. that s a reflection of the best of america. transcending of tribe
This article summarizes some lower level aspect of how GPU executes. Although GPU programming is not that complicated when compared to CPU, it also doesn’t match to what hardware is doing exactly. The reason is that we can’t just program GPU without some API, which is an abstraction over its inner workings. Since few years now, we have modern explicit APIs like DirectX 12 or Vulkan, which shrunken the gap to what is happening with hardware. Yet there still are few low-level bits (pun intended) that are worth explaining.