Refactoring software to heterogeneous parallel platforms
Published in The Journal of Supercomputing
Machine learning on big data for future computing
Published in The Journal of Supercomputing
Human–computer cooperation for future computing
Published in The Journal of Supercomputing
Performance Analysis of Linear Algebraic Functions using Reconfigurable Computing
This paper introduces a new mapping of geometrical transformation on the MorphoSys (M1) reconfigurable computing (RC) system. New mapping techniques for some linear algebraic functions are recalled. A new mapping for geometrical transformation operations is introduced and their performance on the M1 system is evaluated. The translation and scaling ...
Parallel query execution over encrypted data in database-as-a-service (DaaS)
Published in The Journal of Supercomputing
The main challenge in database-as-a-service is the security and privacy of data because service providers are not usually considered as trustworthy. So, the data must be encrypted before storing into the database. Another challenge arises that the performance is degraded on the deployment of encryption algorithm on runtime. Furthermore, the connect...
A big data framework for network security of small and medium enterprises for future computing
Published in The Journal of Supercomputing
Recently, there have been some concerns for the network control systems which have been built for the major closed national communication infrastructures in the Republic of Korea. In particular, the control systems used by the small- and medium-sized enterprises (SMEs) often did not consider much on the sophisticated internal or external threats su...
Advances in big data programming, system software and HPC convergence
Published in The Journal of Supercomputing
Correction to: A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers
Published in The Journal of Supercomputing
The spelling of Monireh H. Sayadnavard’s family name was incorrect.
Cooperative CPU, GPU, and FPGA heterogeneous execution with EngineCL
Published in The Journal of Supercomputing
Heterogeneous systems are the core architecture of most of the high-performance computing nodes, due to their excellent performance and energy efficiency. However, a key challenge that remains is programmability, specifically, releasing the programmer from the burden of managing data and devices with different architectures. To this end, we extend ...
Variable intra-task threading for power-constrained performance and energy optimization in DAG scheduling
Published in The Journal of Supercomputing
Task-parallel programming models have alleviated the gap between software and hardware complexity in high-performance computing. However, the developer is still in charge of complex decisions that have a significant impact in the overall efficiency and affect the application development. Specifically, in a context in which a set of heterogeneous an...
