Basel Mahafzah | The University Of Jordan (original) (raw)

Papers by Basel Mahafzah

The performance of sorting algorithms has a great impact on many computationally intensive applic... more The performance of sorting algorithms has a great impact on many computationally intensive applications. Researchers worked on parallelizing many sorting algorithms to improve their sequential counterpart performance. Thus, several interconnection networks have been presented for that purpose, such as tree and hypercube as basic interconnection networks and Chained-Cubic Tree (CCT) and Optical CCT (OCCT) as hybrid interconnection networks. The OCCT is constructed from a tree and hypercubes where optical links are added between hypercubes on a certain level of the tree. These optical links are used for long-distance and provide speed and low power consumption. In this paper, a new modified Parallel Bucket Sort (PBS) algorithm is presented and applied to the OCCT interconnection network. This PBS algorithm is evaluated analytically and by simulation in terms of various performance metrics including parallel runtime, computation time, communication time, concatenation time, speedup, an...

Symmetry

Type 2 diabetes is a common life-changing disease that has been growing rapidly in recent years. ... more Type 2 diabetes is a common life-changing disease that has been growing rapidly in recent years. According to the World Health Organization, approximately 90% of patients with diabetes worldwide have type 2 diabetes. Although there is no permanent cure for type 2 diabetes, this disease needs to be detected at an early stage to provide prognostic support to allied health professionals and develop an effective prevention plan. This can be accomplished by analyzing medical datasets using data mining and machine-learning techniques. Due to their efficiency, metaheuristic algorithms are now utilized in medical datasets for detecting chronic diseases, with better results than traditional methods. The main goal is to improve the performance of the existing approaches for the detection of type 2 diabetes. A bio-inspired metaheuristic algorithm called cuttlefish was used to select the essential features in the medical data preprocessing stage. The performance of the proposed approach was com...

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Nihon Geka Gakkai zasshi, 1989

International Journal of Advanced Computer Science and Applications

The latest direction in cache-aware/cache-efficient algorithms is to use cache-oblivious algorith... more The latest direction in cache-aware/cache-efficient algorithms is to use cache-oblivious algorithms based on the cache-oblivious model, which is an improvement of the externalmemory model. The cache-oblivious model utilizes memory hierarchies without knowing memories' parameters in advance since algorithms of this model are automatically tuned according to the actual memory parameters. As a result, cache-oblivious algorithms are particularly applied to multi-level caches with changing parameters and to environments in which the amount of available memory for an algorithm can fluctuate. This paper shows the state of the art in cache-oblivious algorithms and data structures; each with its complexity concerning cache misses, which is called cache complexity. Additionally, this paper introduces an extension to minimize the cache complexity of neural networks by applying an appropriate cache-oblivious approach to neural networks.

Neural Computing and Applications

Knowledge-Based Systems, 2021

Telecommunication Systems

International Journal of Advanced Computer Science and Applications, 2019

This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Se... more This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting behavior of sea lions in nature. Moreover, it is inspired by sea lions' whiskers that are used in order to detect the prey. SLnO algorithm is tested with 23 well-known test functions (Benchmarks). Optimization results show that the SLnO algorithm is very competitive compared to Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA) and Dragonfly Algorithm (DA).

International Journal of Web Information Systems

Purpose Sea Lion Optimization (SLnO) algorithm involves the ability of exploration and exploitati... more Purpose Sea Lion Optimization (SLnO) algorithm involves the ability of exploration and exploitation phases, and it is able to solve combinatorial optimization problems. For these reasons, it is considered a global optimizer. The scheduling operation is completed by imitating the hunting behavior of sea lions. Design/methodology/approach Cloud computing (CC) is a type of distributed computing, contributory in a massive number of available resources and demands, and its goal is sharing the resources as services over the internet. Because of the optimal using of these services is everlasting challenge, the issue of task scheduling in CC is significant. In this paper, a task scheduling technique for CC based on SLnO and multiple-objective model are proposed. It enables decreasing in overall completion time, cost and power consumption; and maximizes the resources utilization. The simulation results on the tested data illustrated that the SLnO scheduler performed better performance than o...

Little data exists on how message passing programs use parallel computers. The behavior of these ... more Little data exists on how message passing programs use parallel computers. The behavior of these programs can strongly influence design decisions made for future computer systems. The computer designer's use of incorrect assumptions about program behavior can degrade performance. In many cases simple statistical parameters describing characteristics such as message sizes, destinations, sources, and times between sends would give the designers of the communication libraries and the computer hardware great insight into how the hardware is used by actual programs. Techniques of collecting statistical information about the communication characteristics for system design have been applied to the parallel version of the NAS benchmarks. The paper describes the statistical data collected for multiprocessor runs of the NAS 2.1 benchmarks and some of the characteristics observed in that data

The Traveling Salesman Problem (TSP) is a Combinatorial Optimization Problem (COP), which belongs... more The Traveling Salesman Problem (TSP) is a Combinatorial Optimization Problem (COP), which belongs to NP-hard problems and is considered a typical problem for many real-world applications. Many researchers used the Genetic Algorithm (GA) for solving the TSP. However, using a suitable mutation was one of the main obstacles for GA. This paper proposes for GA an Efficient Mutation (GA-EM) for solving TSP. The efficient mutation can balance between deeply searching and preventing stuck on local optima to ensure a better convergence rate and diversity. Therefore, in this paper, a local search method based on three neighborhood structure operators; namely, transpose, shift-and-insert, and swap, is proposed to produce the efficient mutation for GA. The performance of the proposed algorithm is validated by three TSP datasets; including, TSPLIB, National TSPs, and VLSI Data Set. These datasets have different graphs’ structures and sizes. The sizes of the datasets range from 150 to 18512 citie...

˜The œinternational Arab journal of information technology, 2011

International Conference on Artificial Intelligence, 2002

This thesis describes techniques for the design of parallel programs that solve w ell-structured ... more This thesis describes techniques for the design of parallel programs that solve w ell-structured problems with inherent symmetry. Part I demonstrates the reduction of such problems to generalized matrix multiplication by a group-equivariant matrix. Fast techniques for this multiplication are described, including factorization, orbit decomposition, and Fourier transforms over nite groups. Our algorithms entail interaction between two symmetry groups: one arising at the software level from the problem's symmetry and the other arising at the hardware level from the processors' communication network. Part II illustrates the applicability of our symmetry-exploitation techniques by presenting a series of case studies of the design and implementation of parallel programs. First, a parallel program that solves chess endgames by factorization of an associated dihedral group-equivariant matrix is described. This code runs faster than previous serial programs, and discovered a number of results. Second, parallel algorithms for Fourier transforms for nite groups are developed, and preliminary parallel implementations for group transforms of dihedral and of symmetric groups are described. Applications in learning, vision, pattern recognition, and statistics are pro

This article explores how social workers in South Africa (where social work is regulated by law),... more This article explores how social workers in South Africa (where social work is regulated by law), and Uganda (where social work is not professionally regulated), draw on the premises that social work is a human rights profession embedded in the Universal Declaration of Human Rights, their respective countries' constitutions, and developmental social work to claim their role in promoting social and economic equality. The case studies from both South Africa and Uganda show that developmental social work includes social, economic and environmental development activities and that social work can become a significant role player in promoting social and economic equality through its commitment to social justice and human rights.

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Abstract: The core of a parallel processing system is the interconnection network by which the sy... more Abstract: The core of a parallel processing system is the interconnection network by which the system’s processors are linked. Due to the great role played by the interconnection network’s topology in improving the parallel processing system’s performance, various topologies have been proposed in the literature. This paper proposes a new interconnection network topology, referred to as the chained-cubic tree, in which chains of hypercubes are arranged in a tree structure. The major topological properties of the proposed topology have been investigated, including its diameter, degree, connectivity, bisection width, size, cost, and hamiltonicity. A comparative study is then conducted between the proposed CCT and other interconnection networks ’ topologies, including tree and hypercube in order to evaluate the rank occupied by CCT among other well-known topologies in terms of various performance and cost metrics. The concluding results proved that the CCT topology overcomes the shortco...

The Journal of Supercomputing

Over the past years, researchers drew their attention to propose optoelectronic architectures, in... more Over the past years, researchers drew their attention to propose optoelectronic architectures, including optical transpose interconnection system (OTIS) networks. On the other hand, there are limited attempts devoted to design parallel algorithms for applications that could be mapped on such optoelectronic architectures. Thus, exploiting the attractive features of OTIS networks and investigating their performance in solving combinatorial optimization problems become a great necessity. In this paper, a parallel repetitive nearest neighbor algorithm for solving the symmetric traveling salesman problem on OTIS-Hypercube and OTIS-Mesh optoelectronic architectures is presented. This algorithm has been evaluated analytically and by simulation on both optoelectronic architectures in terms of number of communication steps, parallel run time, speedup, efficiency, cost and communication cost. The simulation results attained almost near-linear speedup and high efficiency among the two selected optoelectronic architectures, where OTIS-Hypercube gained better results in comparison with OTIS-Mesh.

Int. Arab J. Inf. Technol., 2011

The core of a parallel processing system is the interconnection network by which the system's... more The core of a parallel processing system is the interconnection network by which the system's processors are linked. Due to the great role played by the interconnection network's topology in improving the parallel processing system's performance, various topologies have been proposed in the literature. This paper proposes a new interconnection network topology, referred to as the chained(cubic tree, in which chains of hypercubes are arranged in a tree structure. The major topological properties of the proposed topology have been investigated, including its diameter, degree, connectivity, bisection width, size, cost, and hamiltonicity. A comparative study is then conducted between the proposed CCT and other interconnection networks' topologies, including tree and hypercube in order to evaluate the rank occupied by CCT among other well(known topologies in terms of various performance and cost metrics. The concluding results proved that the CCT topology overcomes the sh...

As a barrier synchronization communication operation, all-reduce communication operation is used ... more As a barrier synchronization communication operation, all-reduce communication operation is used in many parallel and distributed algorithms. In this paper, the all-reduce communication operation is developed using Extended Dominating Node (EDN) approach on OTIS-Mesh (Optical Transpose Interconnection System Mesh) optoelectronic architecture. Also, the performance assessment of all-reduce communication operation is presented mathematically and by simulation in terms of number of communication steps, latency, and latency improvement; among three optoelectronic architectures: the single-port OTIS-Mesh, all-port OTIS-Mesh, and all-port EDN-OTIS-Mesh. The obtained mathematical and simulation results show that the all-reduce communication operation on all-port EDN-OTIS-Mesh significantly outperforms the single-port and all-port OTIS-Mesh. Keywords— All Reduce Operation, Barrier Synchronization, Extended Dominating Node, Interconnection Network, Mesh.

The type of programs that are executed on the machine heavily influences the design of a high-per... more The type of programs that are executed on the machine heavily influences the design of a high-performance computer. Thus, it is essential for computer designers and programmers to understand the characteristics of the programs they are interested in running to select a computer design that provides the best performance. In many cases, summary information about the programs can be used to gain insight about the programs behavior. Simple statistical parameters describing distribution characteristics such as size, destinations and sources of messages, and times between sends would give the designers of the communication libraries and the computer hardware great insight into how the hardware is used by actual programs. This book seeks to remedy this by collecting parameterized data that concisely describe how message passing programs data communicate between processors and applying this parameterized data to queuing system models to improve the accuracy of performance estimates. This bo...