How can we write an efficient matrix multiplication method for huge matrices?

Question

Accepted Answer

Use parallel processing, cache optimization, and matrix partitioning for efficient matrix multiplication of huge matrices.

Utilize parallel processing techniques such as multi-threading or GPU acceleration to distribute the workload and speed up computation.
Implement cache optimization strategies to minimize cache misses and improve memory access efficiency.
Divide the matrices into smaller submatrices and perform matrix multiplication on these smaller blocks to reduce memory usage and improve cache locality.
Consider using optimized libraries or frameworks like BLAS (Basic Linear Algebra Subprograms) for efficient matrix multiplication.
Explore hardware-specific optimizations such as SIMD (Single Instruction, Multiple Data) instructions for vectorized computation.

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