Add to ORKGThe popularity of cluster computing has increased focus on usability, especially in the area of programmability. Languages and libraries that require explicit message passing have been the standard. New languages, designed for cluster computing, are coming to the forefront as a way to simplify parallel programming. Titanium and Fortress are examples of this new class of programming paradigms. This work holistically characterizes these languages and contrasts them with the standard model of parallel programming, and presents benchmark results of small computational kernels written in these languages and models
The availability of modern commodity multicore processors and multiprocessor computer systems has re...
In the last years parallel computing has increasingly exploited the high-level models of structured ...
As the demand increases for high performance and power efficiency in modern computer runtime systems...
The popularity of cluster computing has increased focus on usability, especially in the area of prog...
The need to speed-up computing has introduced the interest to explore parallelism in algorithms and ...
In the past, the performance of sequential programs grew exponentially as the performance of CPUs in...
Parallel programming frameworks such as the Message Passing Interface (MPI), Partitioned Global Addr...
This thesis presents a parallel programming model based on the gradual introduction of implementatio...
Large scale parallel simulations are fundamental tools for engineers and scientists. Consequently, i...
In recent years, Graphics Processing Units (GPUs) have piqued the interest of researchers in scienti...
As computing demands increase, emphasis is being placed on parallel architectures- To efficiently us...
Over the past decade processor manufacturers have pivoted from increasing uniprocessor performance t...
The remainder of this thesis is organized as follows. Chapters 2 and 3 introduce the specification f...
As computing demands increase, emphasis is being placed on parallel architectures- To efficiently us...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
The availability of modern commodity multicore processors and multiprocessor computer systems has re...
In the last years parallel computing has increasingly exploited the high-level models of structured ...
As the demand increases for high performance and power efficiency in modern computer runtime systems...
The popularity of cluster computing has increased focus on usability, especially in the area of prog...
The need to speed-up computing has introduced the interest to explore parallelism in algorithms and ...
In the past, the performance of sequential programs grew exponentially as the performance of CPUs in...
Parallel programming frameworks such as the Message Passing Interface (MPI), Partitioned Global Addr...
This thesis presents a parallel programming model based on the gradual introduction of implementatio...
Large scale parallel simulations are fundamental tools for engineers and scientists. Consequently, i...
In recent years, Graphics Processing Units (GPUs) have piqued the interest of researchers in scienti...
As computing demands increase, emphasis is being placed on parallel architectures- To efficiently us...
Over the past decade processor manufacturers have pivoted from increasing uniprocessor performance t...
The remainder of this thesis is organized as follows. Chapters 2 and 3 introduce the specification f...
As computing demands increase, emphasis is being placed on parallel architectures- To efficiently us...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
The availability of modern commodity multicore processors and multiprocessor computer systems has re...
In the last years parallel computing has increasingly exploited the high-level models of structured ...
As the demand increases for high performance and power efficiency in modern computer runtime systems...