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SPLA provides specialized functions for linear algebra computations with a C++ and C interface, which are inspired by requirements in computational material science codes. Currently, SPLA provides functions for distributed matrix multiplications with specific matrix distributions, which cannot be used directly with a ScaLAPACK interface. All computations can optionally utilize GPUs through CUDA or ROCm, where matrices can be located either in host or device memory.