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To realize the acceleration potential of multicore computing environments computational electromagnetics researchers must address parallel programming paradigms early in application development. We present a new blocked-pipeline-matched sparse representation and show speedup results for the conjugate gradient method by parallelizing the sparse matrix-vector multiplication kernel on multicore systems for a set of finite element matrices to demonstrate the potential of this approach. Performancedoi:10.1109/tmag.2010.2044023 fatcat:vjfxthmd5rf6nagsbv4zes267y