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Analysis of Performance-impacting Factors on Checkpointing Frameworks: The CPPC Case Study
(Oxford University Press, 2011-11-01)
[Abstract] This paper focuses on the performance evaluation of Compiler for Portable Checkpointing (CPPC), a tool for the checkpointing of parallel message-passing applications. Its performance and the factors that impact ...
CPPC: a compiler‐assisted tool for portable checkpointing of message‐passing applications
(John Wiley & Sons Ltd., 2010-11-19)
[Abstract] With the evolution of high‐performance computing toward heterogeneous, massively parallel systems, parallel applications have developed new checkpoint and restart necessities. Whether due to a failure in the ...
General‐purpose computation on GPUs for high performance cloud computing
(John Wiley & Sons Ltd., 2013-08)
[Abstract] Cloud computing is offering new approaches for High Performance Computing (HPC) as it provides dynamically scalable resources as a service over the Internet. In addition, General‐Purpose computation on Graphical ...
Parallel Brownian dynamics simulations with the message-passing and PGAS programming models
(Elsevier BV, 2013-04)
[Abstract] The simulation of particle dynamics is among the most important mechanisms to study the behavior of molecules in a medium under specific conditions of temperature and density. Several models can be used to compute ...
Performance analysis of HPC applications in the cloud
(Elsevier BV * North-Holland, 2013-01)
[Abstract] The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized environments. However, Infrastructure as a Service (IaaS) providers ...
MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems
(Oxford University Press, 2016)
[Abstracts] MSAProbs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models. It can achieve high alignment accuracy at the expense of relatively long runtimes for large-scale input ...
Acceleration of a Feature Selection Algorithm Using High Performance Computing
(MDPI AG, 2020-09-01)
[Abstract]
Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them can be performed in affordable execution times while keeping the same ...