Doctor of PhilosophyDepartment of Computer ScienceDaniel A. AndresenOverestimation of High Performance Computing (HPC) job resources allocation happened because of the wide variety of HPC applications, environment configuration options, and the lack of knowledge of the complex structure of HPC systems. This overestimation of resources will waste and devour HPC resources; hence, this will lead to inefficient cluster utilization, increased wait times, and increased turnaround time for submitted jobs. With this background, this dissertation aims to investigate the benefits, effects, and challenges of using machine learning techniques for predicting job resources on HPC systems from different perspectives. First, we have developed a mac...
This work analyses the benefits of a system in an HPC environment, which being able to get real perf...
Optimization of energy consumption and HPC resource utilization are high-priority issues for any sup...
Nowadays MapReduce and its open source implementation, Apache Hadoop, are the most widespread soluti...
peer reviewedAt the advent of a wished (or forced) convergence between High Performance Computing (H...
As High Performance Computing (HPC) has grown considerably and is expected to grow even more, effect...
The demand for more powerful supercomputers continues to increase along with the types of applicatio...
Power consumption is a critical aspect for next generation High Performance Computing systems: Super...
One of the most important metrics of machine efficiency in HPC is job turnaround time, which is the ...
As High Performance Computing (HPC) systems get closer to exascale performance, job dispatching stra...
peer reviewedHigh Performance Computing (HPC) is nowadays a strategic asset required to sustain the ...
High-performance computing (HPC) systems consist of thousands of compute nodes, storage systems and ...
Traditional resource management techniques that rely on simple heuristics often fail to achieve pred...
Taufer, MichelaHigh performance computing (HPC) is undergoing many changes at both the system and wo...
High performance computing (HPC) platforms provides computing, storage and communication facilities ...
The paper is devoted to machine learning methods and algorithms for the supercomputer jobs executio...
This work analyses the benefits of a system in an HPC environment, which being able to get real perf...
Optimization of energy consumption and HPC resource utilization are high-priority issues for any sup...
Nowadays MapReduce and its open source implementation, Apache Hadoop, are the most widespread soluti...
peer reviewedAt the advent of a wished (or forced) convergence between High Performance Computing (H...
As High Performance Computing (HPC) has grown considerably and is expected to grow even more, effect...
The demand for more powerful supercomputers continues to increase along with the types of applicatio...
Power consumption is a critical aspect for next generation High Performance Computing systems: Super...
One of the most important metrics of machine efficiency in HPC is job turnaround time, which is the ...
As High Performance Computing (HPC) systems get closer to exascale performance, job dispatching stra...
peer reviewedHigh Performance Computing (HPC) is nowadays a strategic asset required to sustain the ...
High-performance computing (HPC) systems consist of thousands of compute nodes, storage systems and ...
Traditional resource management techniques that rely on simple heuristics often fail to achieve pred...
Taufer, MichelaHigh performance computing (HPC) is undergoing many changes at both the system and wo...
High performance computing (HPC) platforms provides computing, storage and communication facilities ...
The paper is devoted to machine learning methods and algorithms for the supercomputer jobs executio...
This work analyses the benefits of a system in an HPC environment, which being able to get real perf...
Optimization of energy consumption and HPC resource utilization are high-priority issues for any sup...
Nowadays MapReduce and its open source implementation, Apache Hadoop, are the most widespread soluti...