Setvectors for Memory Phase Classification
نویسندگان
چکیده
Phase classification has frequently been discussed the recent years as a method to guide scheduling, compiler optimizations and program simulations. In this paper, we propose a new classification method called setvectors. We show that the new method outperforms classification accuracy of state of the art methods by approximately 6 to 25 percent, while it has comparable computational complexity to the fastest state of the art methods. As a second contribution, we introduce a new method called PoEC (Percentage of Equal Clustering) to objectively compare phase classification techniques.
منابع مشابه
Predicting Cache Contention with Setvectors
In this paper, we present a new method called setvectors to predict cache contention introduced by co-scheduled applications on a multicore processor system. Additionally, we propose a new metric to compare cache contention prediction methods. Applying this metric, we demonstrate that our setvector method predicts cache contention with about the same accuracy as the most accurate stateof-the-ar...
متن کاملA Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification
Meta-heuristic Algorithms (MA) are widely accepted as excellent ways to solve a variety of optimization problems in recent decades. Grey Wolf Optimization (GWO) is a novel Meta-heuristic Algorithm (MA) that has been generated a great deal of research interest due to its advantages such as simple implementation and powerful exploitation. This study proposes a novel GWO-based MA and two extra fea...
متن کاملAutomated classification of pulmonary nodules through a retrospective analysis of conventional CT and two-phase PET images in patients undergoing biopsy
Objective(s): Positron emission tomography/computed tomography (PET/CT) examination is commonly used for the evaluation of pulmonary nodules since it provides both anatomical and functional information. However, given the dependence of this evaluation on physician’s subjective judgment, the results could be variable. The purpose of this study was to develop an automated scheme for the classific...
متن کاملClassification and properties of acyclic discrete phase-type distributions based on geometric and shifted geometric distributions
Acyclic phase-type distributions form a versatile model, serving as approximations to many probability distributions in various circumstances. They exhibit special properties and characteristics that usually make their applications attractive. Compared to acyclic continuous phase-type (ACPH) distributions, acyclic discrete phase-type (ADPH) distributions and their subclasses (ADPH family) have ...
متن کاملAdaptive Tunable Vibration Absorber using Shape Memory Alloy
This study presents a new approach to control the nonlinear dynamics of an adaptive absorber using shape memory alloy (SMA) element. Shape memory alloys are classified as smart materials that can remember their original shape after deformation. Stress and temperature-induced phase transformations are two typical behaviors of shape memory alloys. Changing the stiffness associated with phase tran...
متن کامل