BLAS LIBRARY PERFORMANCE Clause Samples

BLAS LIBRARY PERFORMANCE. The BLAS library is a commonly used linear algebra library that has been highly optimised for different CPU architectures including ARM. Here some of the more commonly used BLAS functions have been benchmarked on the SOC accelerator card. 4.3.1 Building the BLAS library for ARM The BLAS source (version 2.19) was compiled with the following options to ensure the most efficient use of the device. 4.3.2 BLAS functions tested This section lists the different BLAS functions tested on the SOC accelerator. 4.3.3 Benchmark application The benchmark code executing the BLAS libraries was compiled using the gcc version “gcc-linaro-4.9- 2016.02-x86_64_arm-linux-gnueabihf” with the following options... The following table provides an explanation of each of these options. mtune=cortex-A9 Instructs the gcc compiler to tune its compilation for the cortex-A9 instruction set. Option Description 03 The standard highest level of gcc optimisation. mfpu=neon Informs the compiler that the target architecture uses the floating point units of the embedded neon processor. funsafe-math-optimizations The neon DSP engine within the Cortex-A9 is not IEEE754 compliant. Hence, for the compiler to use the floating point capability of the neon engine, gcc must be informed that non-standard floating point calculations are permitted.
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