The paper analyses computational model based on dynamic programming for platforms with multicore processors and heterogeneous architectures with FPGA. The models are applied for solving a canonical problem of dispatching where the computation time significantly depends on the problem scale factor. The parallel algorithms of NP-hard problem of dispatching are complicate and require intensive RAM data exchange. In order to reduce the computation time, it is suggested to use FPGA as a coprocessor providing massively parallel computation and increase the operational performance of the system in one order
The growing importance and interest in parallel processing within Computer Sciences are undeniable, ...
This dissertation addresses two applications of dynamic programming and provides insights for effici...
Many important problems faced in large infrastructure systems, such as the electricityindustry, invo...
Paper focuses on adapting the technique of dynamic programming for multicore computers, equipped wit...
Modern cyber-physical systems assume a complex and dynamic interaction between the real world and th...
A general method for parallelism of some dynamic programming algorithms on VLSI was presented in [6]...
[[abstract]]Dynamic programming is one of the most powerful approaches to many combinatorial optimiz...
This paper proposes a method for temporal parallelisation of dynamic programming solutions of optima...
Dynamic computational complexity is the study of resource-bounded ongoing computational processes. W...
A particular class of optimisation problems can be solved using a technique known as dynamic program...
TD learning and its refinements are powerful tools for approximating the solution to dynamic program...
A combinatorial optimization problem is an optimization problem where the number of possible solutio...
AbstractA general method for parallelization of some dynamic programming algorithms on VLSI was pres...
Abstract—We consider a virtual power plant, which is given the task of dispatching a fluctuating pow...
We study the parallel computation of dynamic programming. We consider four important dynamic program...
The growing importance and interest in parallel processing within Computer Sciences are undeniable, ...
This dissertation addresses two applications of dynamic programming and provides insights for effici...
Many important problems faced in large infrastructure systems, such as the electricityindustry, invo...
Paper focuses on adapting the technique of dynamic programming for multicore computers, equipped wit...
Modern cyber-physical systems assume a complex and dynamic interaction between the real world and th...
A general method for parallelism of some dynamic programming algorithms on VLSI was presented in [6]...
[[abstract]]Dynamic programming is one of the most powerful approaches to many combinatorial optimiz...
This paper proposes a method for temporal parallelisation of dynamic programming solutions of optima...
Dynamic computational complexity is the study of resource-bounded ongoing computational processes. W...
A particular class of optimisation problems can be solved using a technique known as dynamic program...
TD learning and its refinements are powerful tools for approximating the solution to dynamic program...
A combinatorial optimization problem is an optimization problem where the number of possible solutio...
AbstractA general method for parallelization of some dynamic programming algorithms on VLSI was pres...
Abstract—We consider a virtual power plant, which is given the task of dispatching a fluctuating pow...
We study the parallel computation of dynamic programming. We consider four important dynamic program...
The growing importance and interest in parallel processing within Computer Sciences are undeniable, ...
This dissertation addresses two applications of dynamic programming and provides insights for effici...
Many important problems faced in large infrastructure systems, such as the electricityindustry, invo...