Communication-Avoiding algorithms are designed to minimize data movement across memory hierarchies or between processors, crucial for optimizing performance in compute-intensive tasks like General Matrix Multiplication (GEMM). They address bottlenecks where data transfer costs outweigh computation, especially on modern hardware.
Communication-Avoiding algorithms speed up complex calculations, especially in AI and scientific computing, by drastically cutting down how much data computers need to move around. This is vital because moving data is often slower than doing the actual calculations on modern hardware, leading to significant performance gains.
CA algorithms, communication-optimal algorithms, data-movement-minimizing algorithms
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