HIP: support all the same kernels as CUDA

[abouteiller]

Description

We support a limited subset of kernels with HIP devices compared to CUDA.

Describe the solution you'd like

Every algorithm that is CUDA accelerated should also be HIP accelerated.

Additional context

❯ ag type=CUDA src -l                                                                                                                                                     ─╯
src/ztrsm_LUT.jdf
src/ztrsm_LLT.jdf
src/zgemm_NN.jdf
src/ztrsm_LUN.jdf
src/zpotrf_U.jdf
src/ztrsm_LLN.jdf
src/zpoinv_L.jdf
src/zgemm_TN_summa.jdf
src/zgemm_NT.jdf
src/zgemm_NN_summa.jdf
src/zgemm_TN.jdf
src/ztrsm_RLN.jdf
src/ztrsm_RUN.jdf
src/zgemm_NN_gpu.jdf
src/zgemm_TT_summa.jdf
src/zgemm_NT_summa.jdf
src/zgemm_TT.jdf
src/zpoinv_U.jdf
src/ztrsm_RLT.jdf
src/ztrsm_RUT.jdf
src/zgetrf_nopiv.jdf
src/zpotrf_L.jdf
src/zgeqrf.jdf

     ~/parsec/dplasma     feature/hip *1 ?6 ······················································································ bouteill@methane  14:48:41   ─╮
❯ ag type=HIP src -l                                                                                                                                                      ─╯
src/zpotrf_U.jdf
src/zgemm_TN_summa.jdf
src/zgemm_NN_summa.jdf
src/zgemm_NN_gpu.jdf
src/zgemm_TT_summa.jdf
src/zgemm_NT_summa.jdf
src/zpotrf_L.jdf

[abouteiller]

In particular TRSM is used in check_solution etc, and that can be pretty slow on large matrices without it.