The Journal of Supercomputing

Since the late 1970s, when the first DNA-based genome was sequenced, the field of biology is experiencing a significant growth in the amount of data that needs to be processed. Long ago it became impractical to analyze all this information manually, ...

Efficient scheduling of tasks in heterogeneous computing systems is of primary importance for high-performance execution of programs. The programs are to be considered as multiple sequences of tasks that are presented as directed acyclic graphs (DAG). ...

The multicore architecture has been the norm for all computing systems in recent years as it provides the CPU-level support of parallelism. However, existing algorithms for processing XML streams do not fully take advantage of the facility since they ...

It is widely accepted that the asynchronous parallel methods are more suitable than the synchronous ones on a grid architecture. Indeed, they outperform the synchronous methods, because they overlap the communications of the synchronous methods with ...

To reduce power consumption in CPUs, researchers have studied dynamic cache resizing. However, existing techniques only resize a single cache within a uniprocessor or the shared last-level cache (LLC) within a multi-core CPU. To maximize benefits, it is ...

A significant aspect of cloud computing is scheduling of a large number of real-time concurrent workflow instances. Most of the existing scheduling algorithms are designed for a single complex workflow instance. This study examined instance-intensive ...

This work presents two hardware coprocessors for high-performance symmetric cryptographic algorithms. Two algorithms have been implemented, that is, Advanced Encryption Standard Algorithm and International Data Encryption Algorithm, using two different ...

In recent years, cloud services have been used not only as storage but also to increase computational power. Cloud computing systems perform computations using distributed computation across a large number of computers connected to the Internet. ...

In recent years, the opportunity to use search engines has increased due to the greater variety and number of Internet-capable devices. Search engines have become indispensable for many users, who provide vast amounts of information as input. However, ...

As a typical Gauss---Seidel method, the inherent strong data dependency of lower-upper symmetric Gauss---Seidel (LU-SGS) poses tough challenges for shared-memory parallelization. On early multi-core processors, the pipelined parallel LU-SGS approach ...

In hardware transactional memory, signatures have been proposed to keep track of memory locations accessed in a transaction to help conflict detection. Generally, signatures are implemented as Bloom filters that suffer from aliasing, that is, they can ...

The incessant spurt of research activities to augment capabilities of resource-constrained mobile devices by leveraging heterogeneous cloud resources has created a new research impetus called mobile cloud computing. However, this rapid relocation to the ...

In Wireless Sensor Networks (WSNs) instead of using the possible network connectivity to its maximum extent, a deliberate choice must be made to restrict the topology of the network. Constructing a virtual backbone network using Connected Dominating ...

As a representative large-scale data management technology, Apache Hadoop is an open-source framework for processing a variety of data such as SNS, medical, weather, and IoT data. Hadoop largely consists of HDFS, MapReduce, and YARN. Among them, we ...

Cloud computing trust management has become an important subject in recent years. Trust management is a difficult and complicated work in cloud computing due to features such as distributed, dynamic and non-transparent environment. Since most trust ...

The Network-on-Chip (NoC) paradigm has been proposed as a favorable solution to handle the strict communication requirements between the increasingly large number of cores on a single chip. However, NoC systems are exposed to the aggressive scaling down ...

Service-level agreement (SLA) is a major issue in cloud computing because it defines important parameters such as quality of service, uptime, downtime, period of service, pricing, and security. However, the service may vary from one cloud service ...

Definitely, cloud computing represents a real evolution in the IT world that provides many advantages for both providers and users. This new paradigm includes several services that allow data storage and processing. However, outsourcing data to the ...

Array operations are important for large number of scientific and engineering applications. Two-dimensional array operations are prominent in these applications because of their simplicity and good performance. But in practical applications, the number ...

Utilization of high-order spatial discretizations is an important trend in developing global atmospheric models. As a competitive choice, the multi-moment constrained volume (MCV) method can achieve high accuracy while maintaining similar parallel ...