Over the recent decades, the nature of multi core processors caused changing the serial programming model to parallel mode. There are several programming languages for the parallel multi core processors and processors with different architectures that these languages have faced programmers to challenges to achieve higher performance. In additional, different scheduling methods in the programming languages for the multi core processors have significant impact on efficiency of the programming languages. Therefore, this article addresses the investigation of the conventional scheduling techniques in the programming languages of multi core processors which allows researcher to choose more suitable programing languages by comparing efficiency th...
The advent of multi-core architecture rises many challenges, issues and opportunities. Multicores ha...
We reviewed the literature used for optimal performance of multi-processor, we study different appro...
The parallelism within an algorithm at any stage of execution can be defined as the number of indepe...
As computers are used in most areas today improving their performance is of great importance. Until ...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
This chapter will introduce the basics of multiprocessor scheduling. As this topic is relatively adv...
A multi-core processor is a single computing unit with two or more processors (“cores”). These cores...
Recent innovations in computing technology have resulted in the development of multi core CPU's...
New performance leaps has been achieved with multiprogramming and multi-core systems. Present parall...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...
1. INTRODUCTION In this paper we study the problem of executing parallel programs, in particular Cil...
This thesis describes Cilk, a parallel multithreaded language for programming contemporary shared me...
Process scheduling within computer systems and with regards to the CPU always encounters bottle neck...
Today, almost all desktop and laptop computers are shared-memory multicores, but the code they run i...
The advent of multi-core architecture rises many challenges, issues and opportunities. Multicores ha...
The advent of multi-core architecture rises many challenges, issues and opportunities. Multicores ha...
We reviewed the literature used for optimal performance of multi-processor, we study different appro...
The parallelism within an algorithm at any stage of execution can be defined as the number of indepe...
As computers are used in most areas today improving their performance is of great importance. Until ...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
This chapter will introduce the basics of multiprocessor scheduling. As this topic is relatively adv...
A multi-core processor is a single computing unit with two or more processors (“cores”). These cores...
Recent innovations in computing technology have resulted in the development of multi core CPU's...
New performance leaps has been achieved with multiprogramming and multi-core systems. Present parall...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...
1. INTRODUCTION In this paper we study the problem of executing parallel programs, in particular Cil...
This thesis describes Cilk, a parallel multithreaded language for programming contemporary shared me...
Process scheduling within computer systems and with regards to the CPU always encounters bottle neck...
Today, almost all desktop and laptop computers are shared-memory multicores, but the code they run i...
The advent of multi-core architecture rises many challenges, issues and opportunities. Multicores ha...
The advent of multi-core architecture rises many challenges, issues and opportunities. Multicores ha...
We reviewed the literature used for optimal performance of multi-processor, we study different appro...
The parallelism within an algorithm at any stage of execution can be defined as the number of indepe...