With the large increase in interest and research in distributed systems, the need for performance prediction and modelling of such systems has become important to decrease the system's complexity. One such prediction technique is PACE, a series of performance modelling tools developed at Warwick, which allows a user to create very accurate performance models of sequential and distributed systems. Such a model can be used in an application steering method, where a performance model is added to the overall system such that the application can be optimised to match a particular constraint. To describe this method, a lossless compression technique, also developed at Warwick, is optimised to fit a distributed system where a time constraint is ne...
The compute capacity growth in high performance computing (HPC) systems is outperforming improvement...
In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algo...
The main objective of this paper is to develop an efficient data compression model for online power ...
In this paper, we demonstrate the impact of using a dynamic (on-the-fly) performance prediction tool...
With the rapid expansion in the use of distributed systems the need for optimisation and the steerin...
A performance prediction framework is described in which predictive data generated by the PACE toolk...
This paper describes a methodology that provides detailed predictive performance information through...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
This thesis investigates how to improve the performance of lossless data compression hardware as a t...
This paper describes a toolset, PACE, that provides detailed predictive performance information thro...
This paper describes a methodology that provides de-tailed predictive performance information throug...
Modern applied optimization problems become more and more complex every day. Due to this fact, distr...
Because of the ever-increasing data being produced by today\u27s high performance computing (HPC) sc...
A toolset for performance analysis of parallel systems, PACE, is presented in this report. In this t...
A considerably fraction of science discovery is nowadays relying on computer simulations. High Per...
The compute capacity growth in high performance computing (HPC) systems is outperforming improvement...
In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algo...
The main objective of this paper is to develop an efficient data compression model for online power ...
In this paper, we demonstrate the impact of using a dynamic (on-the-fly) performance prediction tool...
With the rapid expansion in the use of distributed systems the need for optimisation and the steerin...
A performance prediction framework is described in which predictive data generated by the PACE toolk...
This paper describes a methodology that provides detailed predictive performance information through...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
This thesis investigates how to improve the performance of lossless data compression hardware as a t...
This paper describes a toolset, PACE, that provides detailed predictive performance information thro...
This paper describes a methodology that provides de-tailed predictive performance information throug...
Modern applied optimization problems become more and more complex every day. Due to this fact, distr...
Because of the ever-increasing data being produced by today\u27s high performance computing (HPC) sc...
A toolset for performance analysis of parallel systems, PACE, is presented in this report. In this t...
A considerably fraction of science discovery is nowadays relying on computer simulations. High Per...
The compute capacity growth in high performance computing (HPC) systems is outperforming improvement...
In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algo...
The main objective of this paper is to develop an efficient data compression model for online power ...