Intel MKL Speeds Up Small Matrix-Matrix Multiplication for Automatic Driving
by Richard Friedman from Inside HPC & AI News | High-Performance Computing & Artificial Intelligence on (#3E8KR)
Certain applications, such as automated driving, require low latency small matrix-matrix multiplication in real time. They use specialized libraries that can be customized for small matrix operations. Recompiling and linking those libraries with the highly optimized DGEMM routine in the Intel(R) Math Kernel Library 2018 can give speedups many times over native libraries.
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