Parallel programming offers the ability to simultaneously improve the performance and reduce the energy consumption of software running on heterogeneous computing systems. Software developers have long preferred
Performance analysis based on formal approaches Formal aspects of programming paradigms and languages Formal approaches to parallel architectures and weak memory models Formal approaches to deployment, run-time analysis, adaptation/evolution, reconfiguration, and monitoring Case studies developed/analyzed with f...
* Formal aspects of programming paradigms and languages; * Formal approaches to parallel architectures and weak memory models; * Formal approaches to deployment, run-time analysis, adaptation/evolution, reconfiguration, and monitoring; * Case studies developed/analyzed with formal approaches; * Formal st...
In parallel, the expression of the enzyme arginase 1 (Arg1) is a distinguishing feature of ILC2 cells. Arg1 metabolises arginine to generate ornithine and urea, with further metabolic reactions generating proline and polyamines important for cell growth and proliferation. Expression of Arg1 is a ...
In one approach, all of the data that will be needed in a processor are transferred to the processor and operated on there. In the other, each processor performs all possible operations on its local data, generating partial results which are then transferred to the processor in which they ...
A mathematical programming model is used to determine the nesting of different sizes of rectangular patterns to meet the demand for rectangular blanks for a given planning horizon. The test data used in this study is generated randomly from a specific normal distribution. The average scrap ...
The objective of the problem is to simultaneously determine the number and positions of RMAs and a schedule of jobs on parallel machines to minimize the makespan. In order to determine an optimal solution, a mixed integer linear programming (MILP) model for the PMS problem is introduced. ...
Current trends in computer programming look for solutions in the challenging task of porting and optimizing existing algorithms to many-core architectures with tens of Central Processing Units (CPUs). Yet, the lack of standardized general-purpose parallel programming and porting methodologies represents th...
Or should a researcher go back to the low-level programming models, like CUDA, to extract maximum performance of the code? Join our panel of experts as they debate the ultimate answer for the future parallel programmer. 活動: GTC Digital April 日期: April 2021 技術水平需求: Technical – ...
Haase K (2005) Solving large-scale capacitated lot-sizing problems close to optimality. Working paper, Technische Universität Dresden Haase K, Kohlmorgen U (1995) Parallel genetic algorithm for the capacitated lot-sizing problem. In: Kleinschmidt P, Bachem A, Derigs U, Fischer D, Leopold-...