Matrix formalism is a map integration method for ODE solving. It allows to present solution of the system as sums and multiplications of 2-indexes numeric matrix. This ap-proach can be easy implement in parallel codes. As the most natural for matrix operation GPU architecture has been chosen. The set of the methods for beam dynamics has been implemented. Particles and envelope dynamics are supported. The computing facilities are located in St. Petersburg State University and presented by the NVIDIA Tesla-based clusters
This bachelor's thesis focuses on rigid body dynamics simulation accelerated via GPU. Main subject o...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
We present several algorithms to compute the solution of a linear system of equations on a graphics ...
Simulation of particle beam dynamics in accelerators is computationally expensive, and requires ray-...
Multiphysics systems are used to simulate various physics phenomena given byPartial Differential Equ...
The article describes the matrix algebra libraries based on the modern technologies of parallel prog...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
Simulations are indispensable for engineering. They make it possible that one can perform fa...
In recent years, sufficient interest has been displayed great activity in creating of modern compute...
General purpose computing on graphics processing units (GPGPU) is fast becoming a common feature of ...
Simulations of beam dynamics vastly profit from parallelisation with high performance computing tech...
AbstractWe apply the computation with a GPU accelerator to calculate Hamiltonian matrix elements bet...
We report on the development of the new code for long-term simulation of beam-beam effects in partic...
Communicating data within the graphic processing unit (GPU) memory system and between the CPU and GP...
This bachelor's thesis focuses on rigid body dynamics simulation accelerated via GPU. Main subject o...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
We present several algorithms to compute the solution of a linear system of equations on a graphics ...
Simulation of particle beam dynamics in accelerators is computationally expensive, and requires ray-...
Multiphysics systems are used to simulate various physics phenomena given byPartial Differential Equ...
The article describes the matrix algebra libraries based on the modern technologies of parallel prog...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
We present graphics processing unit (GPU) data structures and algorithms to efficiently solve sparse...
Simulations are indispensable for engineering. They make it possible that one can perform fa...
In recent years, sufficient interest has been displayed great activity in creating of modern compute...
General purpose computing on graphics processing units (GPGPU) is fast becoming a common feature of ...
Simulations of beam dynamics vastly profit from parallelisation with high performance computing tech...
AbstractWe apply the computation with a GPU accelerator to calculate Hamiltonian matrix elements bet...
We report on the development of the new code for long-term simulation of beam-beam effects in partic...
Communicating data within the graphic processing unit (GPU) memory system and between the CPU and GP...
This bachelor's thesis focuses on rigid body dynamics simulation accelerated via GPU. Main subject o...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
We present several algorithms to compute the solution of a linear system of equations on a graphics ...