It is common for parallel applications to require a large number of threads of control, often much larger than the number of processors provided by the underlying hardware. Using heavyweight (Unix style) processes to implement those threads of control is prohibitively expensive. Mercury is an environment for writing object-oriented parallel programs in C++ that provides the user with simple primitives for inexpensive thread creation and blocking and spinning synchronization. If required, Mercury primitives allow the user to control scheduling decisions in order to achieve good locality of reference in non uniform memory access (NUMA) multiprocessors. This paper describes the basic Mercury primitives and provides examples of their use
The ability to exploit parallel concepts on a large scale has only recently been made possible throu...
For many types of scientific computations, clusters of workstations interconnected by a high-speed l...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...
Our project is concerned with the automatic parallelization of Mercury programs. Mercury is a purely...
id.pt Automatic aprallel application adaptation Bag opf tasks, multiple object creation method invoc...
The concept of parallel processing is not a new one, but the application of it to control engineerin...
In this paper, we present a relatively primitive execution model for fine-grain parallelism, in whic...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...
On recent high-performance multiprocessors, there is a potential conflict between the goals of achie...
The article describes various options for speeding up calculations on computer systems. These featur...
This thesis presents a mechanism that will provide a semantic and syntactic environment for expressi...
Parallel scientific applications are often written in low-level languages for optimal performance. H...
The Threaded Abstract Machine (TAM) refines dataflow execution models to address the critical constr...
We discuss the hardware and software requirements that appear relevant for a set of industrial appli...
The two current approaches to increasing computer speed are giving individual processors the ability...
The ability to exploit parallel concepts on a large scale has only recently been made possible throu...
For many types of scientific computations, clusters of workstations interconnected by a high-speed l...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...
Our project is concerned with the automatic parallelization of Mercury programs. Mercury is a purely...
id.pt Automatic aprallel application adaptation Bag opf tasks, multiple object creation method invoc...
The concept of parallel processing is not a new one, but the application of it to control engineerin...
In this paper, we present a relatively primitive execution model for fine-grain parallelism, in whic...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...
On recent high-performance multiprocessors, there is a potential conflict between the goals of achie...
The article describes various options for speeding up calculations on computer systems. These featur...
This thesis presents a mechanism that will provide a semantic and syntactic environment for expressi...
Parallel scientific applications are often written in low-level languages for optimal performance. H...
The Threaded Abstract Machine (TAM) refines dataflow execution models to address the critical constr...
We discuss the hardware and software requirements that appear relevant for a set of industrial appli...
The two current approaches to increasing computer speed are giving individual processors the ability...
The ability to exploit parallel concepts on a large scale has only recently been made possible throu...
For many types of scientific computations, clusters of workstations interconnected by a high-speed l...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...