Wörsdörfer, FlorianFlorianWörsdörferStock, FlorianFlorianStockBayro-Corrochano, EduardoEduardoBayro-CorrochanoHildenbrand, DietmarDietmarHildenbrand2022-03-112022-03-112009https://publica.fraunhofer.de/handle/publica/36515110.1007/978-3-642-10268-4_31The usage of Conformal Geometric Algebra leads to algorithms that can be formulated in a very clear and easy to grasp way. But it can also increase the performance of an implementation because of its capabilities to be computed in parallel. In this paper we show how a grasping algorithm for a robotic arm is accelerated using a Conformal Geometric Algebra formulation. The optimized C code is produced by the CGA framework Gaalop automatically. We compare this implementation with a CUDA implementation and an implementation that uses standard vector algebra.enCompute Unified Device Architecture (CUDA)runtime performancegeometric algebraroboticForschungsgruppe Geometric Algebra Computing (GACO)006400conference paper