Improving Performance through Object Fusion

نویسندگان

  • Shelley Chen
  • Nikos Hardavellas
چکیده

Technological advancements in semiconductor fabrication, coupled with architectural innovation, have resulted in lightningspeed improvements in processor performance, which doubles every eighteen months. While memory capacity has increased commensurately with processor performance, memory access speeds improve at the glacial rate of almost 10% annually [9]. The memory wall is rising fast, and promotes memory reference behavior to the dominant factor determining overall performance of many important applications (e.g., commercial database systems spend 25% to 50% of their execution time waiting at the memory system [10]). To alleviate this problem we propose object fusion, a compile time technique that co-locates elements of a pointer-based data structure which are likely to be accessed contemporaneously, and re-orders their fields to improve cache line utilization during traversal.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data

Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...

متن کامل

Application of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors

In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...

متن کامل

Dual Track Multimodal Automatic Learning through Human-Robot Interaction

Human beings are constantly improving their cognitive ability via automatic learning from the interaction with the environment. Two important aspects of automatic learning are the visual perception and knowledge acquisition. The fusion of these two aspects is vital for improving the intelligence and interaction performance of robots. Many automatic knowledge extraction and recognition methods h...

متن کامل

Object Level Strategy for Spectral Quality Assessment of High Resolution Pan-sharpen Images

Panchromatic and multi-spectral images produced by the remote sensing satellites are fused together to provide a multi-spectral image with a high spatial resolution at the same time. The spectral quality of the fused images is very important because the quality of a large number of remote sensing products depends on it. Due to the importance of the spectral quality of the fused images, its eval...

متن کامل

Investigating Factor Structure, Validity and Reliability of Thought Fusion Instrument (TFI) in Iran

Introduction: Considering the importance of fusion of thought in the persistence of symptoms of obsessive-compulsive disorder, This study was conducted to assess the validity and reliability of the TFI in Iran. Methods: In a descriptive cross-sectional study, a fusion measure was used. First, the author was allowed to use the tool and then translated into Persian. The statistical population of...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003