SME1 based direct kernel (with alpha and beta) for cblas_sgemm level 3

- Sets up all the various entrypoints for `bgemv`
- Adds `bscal` for use in the `bgemv` interface
- Adds test cases for comparing `sgemv` and `bgemv`
- Adds generic kernels for `bgemv_n` and `bgemv_t` which are accurate
enough to pass above tests

This also improves the testing and generic kernel by re-using the BF16
conversion functions.

Built on top of https://github.com/OpenMathLib/OpenBLAS/pull/5357 and derived from https://github.com/OpenMathLib/OpenBLAS/pull/5287

Co-authored-by: Ye Tao <ye.tao@arm.com>

Setting up all the infrastructure for BGEMM support in OpenBLAS, hopefully I found all the right places.

Derived mostly from the previous work done in https://github.com/OpenMathLib/OpenBLAS/pull/5287

Co-authored-by: Ye Tao <ye.tao@arm.com>

Add support for FP16 to openBLAS and shgemm on RISCV

- adjust interface to disable "small matrix" pathway
- separate HFLOAT16 from BFLOAT16
- remove SHGEMM_UNROLL_M and SHGEMM_UNROLL_N equal conditions

Related to PR#5290
Co-authored-by Martin

kernel/generic: Fixed cscal and zscal

Added HFLOAT16 support for RISCV64
Added shgemm_kernel_8x8 for RISCV64_ZVL128B and shgemm_kernel_16x8 for RISCV64_ZVL256B based on HFLOAT16
The instruction sets used are ZVFH and ZFH, which need to be supported by RVV1.0

Related to issue #5279
Co-authored-by Linjin Li <linjin_li@163.com>

CMake: Pass `OpenMP` compiler and linker flags through CMake targets

Using `OpenMP::OpenMP_LANG` targets for CMake is less error-prone than
passing the compiler and linker flags manually. Furthermore, it allows
the user to customize those flags by setting `OpenMP_LANG_FLAGS`,
`OpenMP_LANG_LIB_NAMES`, and `OpenMP_omp_LIBRARY`.

Redefined threading logic for GESV and GEMV on WoA

Add throttling profile for SGEMM and SGEMV on `NEOVERSEV2`

* Added ARMV9SME target
* Added SGEMM_DIRECT kernel based on SME1

Add thread throttling profile for SGEMM on NEOVERSEV1

Signed-off-by: tingbo.liao <tingbo.liao@starfivetech.com>

Disable multithreading in ?TRTRI for small workloads