Add to ORKGThe aim of this master thesis is to both give the programmer some guidelines to achieve good scalabilities with tasked based programming models and to improve the COMPSs runtime scheduler the capabilities to reach this scaling objectives
The computing and communication resources of high performance computing systems are becoming heterog...
In this document, I explore the problem of scheduling pipelined applications onto large-scale distri...
Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industr...
The aim of this master thesis is to both give the programmer some guidelines to achieve good scalabi...
In the recent joint venture between High-Performance Computing (HPC) and Big-Data (BD) Ecosystems t...
In recent years there has been an extraordinary growth of large-scale data processing and related te...
This thesis develops schedulers for many-cores with different optimization objectives. The proposed ...
In a task-based model such as OmpSs-2, task creation and scheduling are critical to achieve good per...
The role of data in modern scientific workflows becomes more and more crucial. The unprecedented amo...
La dernière décennie a vu l’émergence de systèmes parallèles pour l’analyse de grosse quantités de d...
Includes bibliographical references.2015 Summer.As high performance computing systems increase in si...
Many functions in today’s society are immensely dependent on data. Data drives everything from busin...
This Thesis deals with the problem of scheduling applications on High-Performance Computing (HPC) ma...
Although our everyday life and society now depends heavily oncommunication infrastructures and compu...
The growth in data generated by private and public organizations leads to several opportunities to o...
The computing and communication resources of high performance computing systems are becoming heterog...
In this document, I explore the problem of scheduling pipelined applications onto large-scale distri...
Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industr...
The aim of this master thesis is to both give the programmer some guidelines to achieve good scalabi...
In the recent joint venture between High-Performance Computing (HPC) and Big-Data (BD) Ecosystems t...
In recent years there has been an extraordinary growth of large-scale data processing and related te...
This thesis develops schedulers for many-cores with different optimization objectives. The proposed ...
In a task-based model such as OmpSs-2, task creation and scheduling are critical to achieve good per...
The role of data in modern scientific workflows becomes more and more crucial. The unprecedented amo...
La dernière décennie a vu l’émergence de systèmes parallèles pour l’analyse de grosse quantités de d...
Includes bibliographical references.2015 Summer.As high performance computing systems increase in si...
Many functions in today’s society are immensely dependent on data. Data drives everything from busin...
This Thesis deals with the problem of scheduling applications on High-Performance Computing (HPC) ma...
Although our everyday life and society now depends heavily oncommunication infrastructures and compu...
The growth in data generated by private and public organizations leads to several opportunities to o...
The computing and communication resources of high performance computing systems are becoming heterog...
In this document, I explore the problem of scheduling pipelined applications onto large-scale distri...
Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industr...