Abstract: This paper describes a library of operators to work with grid functions, aimed to simplify the calculations on three-dimensional index grid. The library is designed so that the details of its implementation are hidden from the user, allowing effective implementation on machines with different architectures (parallel, hybrid, etc.). The library creation raises several goals: the approximation of the appearance of the program to the theoretical formulas, the relative ease of use, including the work on the graphics card with CUDA architecture, computational efficiency.Note: Research direction:Programming, parallel computing, multimedi
This research study is based on the growing interest towards graphical processing unit usability for...
This paper presents the use of three-dimensional indexing available in graphic processing units (GPU...
Geometric Algebra (GA) is a mathematical framework that allows a compact, geometrically intuitive de...
Multiphysics systems are used to simulate various physics phenomena given byPartial Differential Equ...
Recent advances in GPUs opened a new opportunity in harnessing their computing power for general pur...
Geometric Algebra (GA) is a mathematical framework that allows a compact, geometrically intuitive de...
Abstract: Operator programming method allows the compact writing of mathematical formulas ...
We report on the development of one of the first libraries ever presented and based on the so-called...
A new high-performance general-purpose graphics processing unit (GPGPU) computational fluid dynamics...
This paper discusses the implementation of one-factor and three-factor PDE models on GPUs. Both expl...
The scan primitives are powerful, general-purpose data-parallel primitives that are building blocks ...
The current powerful graphics cards, providing stunning real-time visual effects for computer-based ...
This work deals with issue of general purpose computation on graphics processing units. It provides ...
Abstract—Computing platforms equipped with accelerators like GPUs have proven to provide great compu...
International audienceThanks to CUDA and OpenCL, Graphics Processing Units (GPUs) have recently gain...
This research study is based on the growing interest towards graphical processing unit usability for...
This paper presents the use of three-dimensional indexing available in graphic processing units (GPU...
Geometric Algebra (GA) is a mathematical framework that allows a compact, geometrically intuitive de...
Multiphysics systems are used to simulate various physics phenomena given byPartial Differential Equ...
Recent advances in GPUs opened a new opportunity in harnessing their computing power for general pur...
Geometric Algebra (GA) is a mathematical framework that allows a compact, geometrically intuitive de...
Abstract: Operator programming method allows the compact writing of mathematical formulas ...
We report on the development of one of the first libraries ever presented and based on the so-called...
A new high-performance general-purpose graphics processing unit (GPGPU) computational fluid dynamics...
This paper discusses the implementation of one-factor and three-factor PDE models on GPUs. Both expl...
The scan primitives are powerful, general-purpose data-parallel primitives that are building blocks ...
The current powerful graphics cards, providing stunning real-time visual effects for computer-based ...
This work deals with issue of general purpose computation on graphics processing units. It provides ...
Abstract—Computing platforms equipped with accelerators like GPUs have proven to provide great compu...
International audienceThanks to CUDA and OpenCL, Graphics Processing Units (GPUs) have recently gain...
This research study is based on the growing interest towards graphical processing unit usability for...
This paper presents the use of three-dimensional indexing available in graphic processing units (GPU...
Geometric Algebra (GA) is a mathematical framework that allows a compact, geometrically intuitive de...