Joanna Porter-Sobieraj

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This paper explores the opportunities of using a GPGPU to solve systems of polynomial equations. We propose numerical real root-finding based on recursive de Casteljau subdivision over an n-dimensional rectangular domain. Two variants of parallelism - multithreading and multiprocessing - have been investigated. The speed, memory consumption and resistance(More)
Relativistic numerical hydrodynamics is an important tool in high energy nuclear science. However, such simulations are extremely demanding in terms of computing power. This paper focuses on improving the speed of solving the Riemann problem with the MUSTA-FORCE algorithm by employing the CUDA parallel programming model. We also propose a new approach to 3D(More)
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