This paper deals with high performance computing in heterogeneous clusters using the Distributed Object-Oriented Threads System (DOTS). DOTS is a paralleliza-tion platform that enables the programmer to build dis-tributed parallel applications using a high level and easy-to-use parallel programming paradigm. It integrates a wide range of different systems (from realtime kernels to main-frames) into a single system environment for high perfor-mance computing. A special design focus of DOTS is to optimize usability aspects. Additionally, the paper discusses three advanced fea-tures of DOTS that especially support its deployment in het-erogeneous environments for high performance computing. For defining the parallel environment and for documen...
The paper overviews the state of the art in design and implementation of data parallel scientific ap...
Abstract. Distributed computing is a means to overcome the limita-tions of single computing systems....
High performance computing in heterogeneous environments is a dynamically developing area. A number ...
We describe the distributed object-oriented threads system (DOTS), a programming environment designe...
Abstract. We describe the design and implementation of the Distributed Object-Oriented Threads Syste...
Diese Arbeit behandelt die Realisierung und die Anwendung der Systemumgebung DOTS (Distributed Obje...
The era of big data has led to problems of unprecedented scale and complexity that are challenging t...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
A recurring problem with high-performance computing is that advanced architectures generally achieve...
Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are curre...
Distributed computing platforms are evolving to heterogeneous ecosystems with Clusters, Grids and Cl...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
This thesis presents a distributed object model, MOIDE (Multithreading Object-oriented Infrastructur...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
The paper overviews the state of the art in design and implementation of data parallel scientific ap...
Abstract. Distributed computing is a means to overcome the limita-tions of single computing systems....
High performance computing in heterogeneous environments is a dynamically developing area. A number ...
We describe the distributed object-oriented threads system (DOTS), a programming environment designe...
Abstract. We describe the design and implementation of the Distributed Object-Oriented Threads Syste...
Diese Arbeit behandelt die Realisierung und die Anwendung der Systemumgebung DOTS (Distributed Obje...
The era of big data has led to problems of unprecedented scale and complexity that are challenging t...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
A recurring problem with high-performance computing is that advanced architectures generally achieve...
Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are curre...
Distributed computing platforms are evolving to heterogeneous ecosystems with Clusters, Grids and Cl...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
This thesis presents a distributed object model, MOIDE (Multithreading Object-oriented Infrastructur...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
The paper overviews the state of the art in design and implementation of data parallel scientific ap...
Abstract. Distributed computing is a means to overcome the limita-tions of single computing systems....
High performance computing in heterogeneous environments is a dynamically developing area. A number ...