Add to ORKGWe construct parallel algorithms with implementations to solve the clique problem in practice and research their computing time compared with sequential algorithms. The parallel algorithms are implemented in Java using threads. Best efficiency is achieved by solving the problem of task scheduling by using task pools. 1
Communicated by Susumu Matsumae This paper studies task scheduling algorithms which schedule a set o...
Abstract. Java provides support for concurrent and parallel programming through threads, monitors an...
The success of computational science to accurately describe and model the real world has helped to f...
Despite several works in the literature targeted predictable execution models for parallel tasks, li...
from object-oriented programming techniques because of their flexible and modular program developmen...
Parallel workloads most commonly execute onto pools of thread, allowing to dispatch and run individu...
Data- and task-parallelism are two important parallel programming models. Object-oriented paradigm i...
Threading and concurrency are crucial to building high-performance Java applications -- but they ha...
Windowing Toolkit in which Graphical User Interfaces (GUIs) can be constructed, its support for conc...
The Set data structure is a powerful and popular programmer’s tool based on set theory. Bulk operati...
We present a threaded parallel adaptation of a state-of-the-art maximum clique algorithm for dense, ...
The use of multithreading can enhance the performance of a software system. However, its excessive u...
The new era of multi-core processing challenges software designers to efficiently exploit the parall...
High-level abstractions for parallel programming simplify the development of efficient par-allel app...
Some applications can be broken down into variable length tasks to be executed concurrently. How do ...
Communicated by Susumu Matsumae This paper studies task scheduling algorithms which schedule a set o...
Abstract. Java provides support for concurrent and parallel programming through threads, monitors an...
The success of computational science to accurately describe and model the real world has helped to f...
Despite several works in the literature targeted predictable execution models for parallel tasks, li...
from object-oriented programming techniques because of their flexible and modular program developmen...
Parallel workloads most commonly execute onto pools of thread, allowing to dispatch and run individu...
Data- and task-parallelism are two important parallel programming models. Object-oriented paradigm i...
Threading and concurrency are crucial to building high-performance Java applications -- but they ha...
Windowing Toolkit in which Graphical User Interfaces (GUIs) can be constructed, its support for conc...
The Set data structure is a powerful and popular programmer’s tool based on set theory. Bulk operati...
We present a threaded parallel adaptation of a state-of-the-art maximum clique algorithm for dense, ...
The use of multithreading can enhance the performance of a software system. However, its excessive u...
The new era of multi-core processing challenges software designers to efficiently exploit the parall...
High-level abstractions for parallel programming simplify the development of efficient par-allel app...
Some applications can be broken down into variable length tasks to be executed concurrently. How do ...
Communicated by Susumu Matsumae This paper studies task scheduling algorithms which schedule a set o...
Abstract. Java provides support for concurrent and parallel programming through threads, monitors an...
The success of computational science to accurately describe and model the real world has helped to f...