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What Every Developer Should Know About GPU Computing (2023)
A primer on GPU architecture and computing
Most programmers have an intimate understanding of CPUs and sequential programming because they grow up writing code for the CPU, but many are less familiar with the inner workings of GPUs and what makes them so special. All of these applications need to perform a ton of linear algebra and numerical computations at a very fast rate, because of which a lot of attention has gone into improving the throughput of these devices. As you may see, CPUs dedicate a significant amount of chip area towards features which will reduce instruction latency, such as large caches, less ALUs and more control units.
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