The purpose of this study is to approximate the local density of states(LDOS) for a metal block by solving the Schrödinger equation in an efficient way. To make the code more effective different methods were implemented, for example trying to parallelize the process and to run the code solely on a GPU (Graphic Processing Unit). The conclusion that was drawn was that running the code in parallel over the different orbitals on a multicore central processing unit (CPU) is faster and thusmore efficient than running it in sequential order. Running the calculations on a GPU was determined to be slower because of inefficient use of its bandwidth due to individual indexing in matrices and vectors. Further tests using block versions of the same algo...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
(The following contains mathematical formula and symbols that may become distorted in ASCII text.) N...
We describe in detail our high-performance density matrix renormalization group (DMRG) algorithm for...
The purpose of this study is to approximate the local density of states(LDOS) for a metal block by s...
The Trotter-Suzuki approximation leads to an efficient algorithm for solving the time-dependent Schr...
The Trotter-Suzuki approximation leads to an efficient algorithm for solving the timedependent Schrö...
A new method of solution to the local spin density approximation to the electronic Schr\"{o}dinger e...
The purpose of this study is to simulate the application of the finite difference method for Schrodi...
We discuss the applicability of parallel-in-time integration methods to the Schrödinger equation.Mod...
The main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra m...
Designing parallel models that fully utilize the computation capabilities of Graphics Processing Uni...
The aim of this paper is to test a developed SOR R&B method using the Chebyshev accelerator algorith...
The Fast Multipole Method allows the rapid evaluation of sums of radial basis functions centered at ...
Graphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated...
In this project, various computational energy landscape methods were accelerated using graphics proc...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
(The following contains mathematical formula and symbols that may become distorted in ASCII text.) N...
We describe in detail our high-performance density matrix renormalization group (DMRG) algorithm for...
The purpose of this study is to approximate the local density of states(LDOS) for a metal block by s...
The Trotter-Suzuki approximation leads to an efficient algorithm for solving the time-dependent Schr...
The Trotter-Suzuki approximation leads to an efficient algorithm for solving the timedependent Schrö...
A new method of solution to the local spin density approximation to the electronic Schr\"{o}dinger e...
The purpose of this study is to simulate the application of the finite difference method for Schrodi...
We discuss the applicability of parallel-in-time integration methods to the Schrödinger equation.Mod...
The main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra m...
Designing parallel models that fully utilize the computation capabilities of Graphics Processing Uni...
The aim of this paper is to test a developed SOR R&B method using the Chebyshev accelerator algorith...
The Fast Multipole Method allows the rapid evaluation of sums of radial basis functions centered at ...
Graphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated...
In this project, various computational energy landscape methods were accelerated using graphics proc...
Problem statement. The use of programming technologies on modern multicore systems is an integral pa...
(The following contains mathematical formula and symbols that may become distorted in ASCII text.) N...
We describe in detail our high-performance density matrix renormalization group (DMRG) algorithm for...