Computer systems employing heterogeneous special or limited purpose computation components can achieve higher performance with less power dissipation than those using only general-purpose processors. In order to effectively harness these advantages, an application must be tailored to a specific combination of computational components unless an abstraction layer exists to provide flexibility between different target computers. Herein is presented an implementation of Micro-Heterogeneous Computing, a framework which provides abstraction of underlying hardware and the scheduling and load balancing necessary in a multi-user computer system
With the end of Dennard scaling and emergence of dark silicon, the bets are high on heterogeneous ar...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...
Heterogeneous Computing (HC) is a technique speeds the computation of large tasks by utilizing multi...
Plenty of novel emerging technologies are being proposed and evaluated today, mostly at the device a...
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite...
Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performa...
With the variety of computer architectures available today, it often is difficult to determine which...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
Computer systems have become more heterogeneous due to the breakdown of Dennard Scaling and the rapi...
This paper aims at designing and implementing a scheduler model for heterogeneous multiprocessor arc...
The focus of this invited keynote paper (to be presented by H. J. Siegel) is mixed-machine heterogen...
Abstract—Homogeneous multi-cores, while ubiquitous to-day, cannot provide the desired performance an...
Heterogeneous computing environments use an assortment of high performance ma-chines with different ...
The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or...
With the end of Dennard scaling and emergence of dark silicon, the bets are high on heterogeneous ar...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...
Heterogeneous Computing (HC) is a technique speeds the computation of large tasks by utilizing multi...
Plenty of novel emerging technologies are being proposed and evaluated today, mostly at the device a...
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite...
Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performa...
With the variety of computer architectures available today, it often is difficult to determine which...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
Computer systems have become more heterogeneous due to the breakdown of Dennard Scaling and the rapi...
This paper aims at designing and implementing a scheduler model for heterogeneous multiprocessor arc...
The focus of this invited keynote paper (to be presented by H. J. Siegel) is mixed-machine heterogen...
Abstract—Homogeneous multi-cores, while ubiquitous to-day, cannot provide the desired performance an...
Heterogeneous computing environments use an assortment of high performance ma-chines with different ...
The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or...
With the end of Dennard scaling and emergence of dark silicon, the bets are high on heterogeneous ar...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...