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Introduction to assembly of finite element methods on graphics processors
IOP Conference Series: Materials Science and Engineering
Recently, graphics processing units (GPUs) have had great success in accelerating numerical computations. We present their application to computations on unstructured meshes such as those in finite element methods. Multiple approaches in assembling and solving sparse linear systems with NVIDIA GPUs and the Compute Unified Device Architecture (CUDA) are presented and discussed. Multiple strategies for efficient use of global, shared, and local memory, methods to achieve memory coalescing, anddoi:10.1088/1757-899x/10/1/012009 fatcat:5t4fqgjfmng75iwjv2gmcghafq