always a need for more computer resources, apart from which, many computer resources are still unused. The most common resource demanding applications are applications which require a lot of processor power or RAM space. Today, advancing technology offers processing power in grids, clusters, multi-core CPUs, cloud computers, or even graphics processing units. Thus, given all this computing power, smart and efficient utilization of these systems is needed. All these necessities and mentioned facts laid foundation for parallel programming. One of the major issues in parallel programming is reconfiguring of the existing applications to work on a parallel system; not just to work, but to work faster and more efficiently. In this paper some of t...
The most important features that a parallel programming language should provide are portability, mod...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
By programming in parallel, large problem is divided in smaller ones, which are solved concurrently....
Today multicore technology is the standard processor technology for desktop and laptop computers and...
Parallel Programming has been thrown upon us by the industry which can't deliver what we really want...
Description The course introduces the basics of parallel programming with the message-passing inter...
The purpose of this study is to examine the advantages of using parallel computing. The phrase "para...
The article describes various options for speeding up calculations on computer systems. These featur...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...
Parallel computing can take many forms. From a user's perspective, it is important to consider the a...
Nowadays, we are to find out solutions to huge computing problems very rapidly. It brings the idea o...
Nowadays, we are to find out solutions to huge computing problems very rapidly. It brings the idea o...
Parallel programming is designed for the use of parallel computer systems for solving time-consuming...
High performance computing can be associated with a method to improve the performance of an applica...
Parallel software development must face the fact that different architectures require different impl...
The most important features that a parallel programming language should provide are portability, mod...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
By programming in parallel, large problem is divided in smaller ones, which are solved concurrently....
Today multicore technology is the standard processor technology for desktop and laptop computers and...
Parallel Programming has been thrown upon us by the industry which can't deliver what we really want...
Description The course introduces the basics of parallel programming with the message-passing inter...
The purpose of this study is to examine the advantages of using parallel computing. The phrase "para...
The article describes various options for speeding up calculations on computer systems. These featur...
The next generation computing systems are focusing on parallel computing to solve the problem in fas...
Parallel computing can take many forms. From a user's perspective, it is important to consider the a...
Nowadays, we are to find out solutions to huge computing problems very rapidly. It brings the idea o...
Nowadays, we are to find out solutions to huge computing problems very rapidly. It brings the idea o...
Parallel programming is designed for the use of parallel computer systems for solving time-consuming...
High performance computing can be associated with a method to improve the performance of an applica...
Parallel software development must face the fact that different architectures require different impl...
The most important features that a parallel programming language should provide are portability, mod...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
By programming in parallel, large problem is divided in smaller ones, which are solved concurrently....