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--- howto:compile_with_cuda [2019/04/09 10:06] – alazzaro
+++ howto:compile_with_cuda [2020/08/21 10:15] (current) – external edit 127.0.0.1
@@ Line 10: / Line 10: @@
 NVCC    = /path_to_cuda/bin/nvcc
 DFLAGS += -D__ACC -D__DBCSR_ACC -D__PW_CUDA
-LIBS   += -lcudart -lcublas -lcufft -lrt
+LIBS   += -lcudart -lcublas -lcufft -lnvrtc
 </code>
-See [[https://github.com/cp2k/cp2k/blob/master/INSTALL.md#2j-cuda-optional-improved-performance-on-gpu-systems | here]] for more details.
+See [[https://github.com/cp2k/cp2k/blob/master/INSTALL.md#2j-cuda-optional-improved-performance-on-gpu-systems | here]] for details.
 As a prerequisite the [[https://developer.nvidia.com/cuda-toolkit |Nvidia CUDA Toolkit ]] has to be installed.
 ===== Libcusmm =====
-The acceleration of DBCSR is performed by libcusmm. This library provides a number of kernels. Each of these kernels can multiply blocks of specific blocksizes. The blocksizes of a simulation are determined by the employed basis-set. As of DBCSR 1.1, by default libcusmm is able to generate any kernel for {m,n,k}≤80, see [[ https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/libcusmm/README.md | here ]] for more details. The //DBCSR Statistics// are printed at the end of every CP2K-run, example
+The acceleration of DBCSR is performed by libcusmm. This library provides a number of kernels. Each of these kernels can multiply blocks of specific blocksizes. The blocksizes of a simulation are determined by the employed basis-set. As of DBCSR 1.1, by default libcusmm is able to generate any kernel for {m,n,k}≤80, see [[ https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/libcusmm/README.md | here]] for more details. The //DBCSR Statistics// are printed at the end of every CP2K-run, example
 <code>
@@ Line 38: / Line 38: @@
 </code>
-More supported GPUs can be added, please refer to the description [[ https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/libcusmm/README.md | here ]].
+More supported GPUs can be added, please refer to [[https://github.com/cp2k/dbcsr/blob/develop/src/acc/libsmm_acc/libcusmm/tune.md | this howto]].
-New kernel parameters have to be optimized, which [[howto:libcusmm | this howto]] explains in detail.
 ===== Profiling =====
-If you are interested in profiling CP2K with nvprof have a look at [[dev:profiling#nvprof | these remarks ]].
+If you are interested in profiling CP2K with nvprof have a look at [[dev:profiling#nvprof | these remarks]].