Two new performance estimation algorithms are presented in this report. One is an optimal lower-bound prediction for the Resource Constrained Problem, and we propose a branch-andbound algorithm to obtain the exact solution by means of some novel bounding techniques. Experimental results show the e#ciency and e#ect of this algorithm. The other is an approximate predication technique which is applicable to the hardware compiler for fast performance estimation. As the hardware compiler adopts the software compilation techniques, but is di#erent from the traditional synthesis approach, the second algorithm we propose here could easily be embedded into this kind of hardware compiler to obtain results quickly
Improvements in performance and energy efficiency often require deep understanding of the complex in...
High-performance computing is essential for solving large problems and for reducing the time to solu...
As the current rate of improvement in processor performance far exceeds the rate of memory performan...
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when ther...
A procedure is described to automatically compile symbolic performance predictions in the course of ...
High-level cost and performance estimation, coupled with a fast hardware/software co-simulation fram...
Abstract. Performance understanding and prediction are extremely im-portant goals for guiding the ap...
With the increasing sophistication of both software and hardware systems, methodologies to analyse a...
Performance prediction models at the source code level are crucial components in advanced optimizing...
We have developed a performance bounding methodology that explains the performance of loop-dominated...
The paper presents a novel approach to compute tight upper bounds on the processor utilization indep...
Performance comparisons are ubiquitous in computer science. The proceedings of most conferences are ...
Performance comparisons are ubiquitous in computer science. The proceedings of most conferences are ...
Performance prediction models at the source code level are crucial components in advanced optimizing...
This paper presents a novel approach to estimating and predicting the system-wide utilisation of com...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
High-performance computing is essential for solving large problems and for reducing the time to solu...
As the current rate of improvement in processor performance far exceeds the rate of memory performan...
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when ther...
A procedure is described to automatically compile symbolic performance predictions in the course of ...
High-level cost and performance estimation, coupled with a fast hardware/software co-simulation fram...
Abstract. Performance understanding and prediction are extremely im-portant goals for guiding the ap...
With the increasing sophistication of both software and hardware systems, methodologies to analyse a...
Performance prediction models at the source code level are crucial components in advanced optimizing...
We have developed a performance bounding methodology that explains the performance of loop-dominated...
The paper presents a novel approach to compute tight upper bounds on the processor utilization indep...
Performance comparisons are ubiquitous in computer science. The proceedings of most conferences are ...
Performance comparisons are ubiquitous in computer science. The proceedings of most conferences are ...
Performance prediction models at the source code level are crucial components in advanced optimizing...
This paper presents a novel approach to estimating and predicting the system-wide utilisation of com...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
High-performance computing is essential for solving large problems and for reducing the time to solu...
As the current rate of improvement in processor performance far exceeds the rate of memory performan...