17,587 research outputs found
Towards the Model-Driven Engineering of Secure yet Safe Embedded Systems
We introduce SysML-Sec, a SysML-based Model-Driven Engineering environment
aimed at fostering the collaboration between system designers and security
experts at all methodological stages of the development of an embedded system.
A central issue in the design of an embedded system is the definition of the
hardware/software partitioning of the architecture of the system, which should
take place as early as possible. SysML-Sec aims to extend the relevance of this
analysis through the integration of security requirements and threats. In
particular, we propose an agile methodology whose aim is to assess early on the
impact of the security requirements and of the security mechanisms designed to
satisfy them over the safety of the system. Security concerns are captured in a
component-centric manner through existing SysML diagrams with only minimal
extensions. After the requirements captured are derived into security and
cryptographic mechanisms, security properties can be formally verified over
this design. To perform the latter, model transformation techniques are
implemented in the SysML-Sec toolchain in order to derive a ProVerif
specification from the SysML models. An automotive firmware flashing procedure
serves as a guiding example throughout our presentation.Comment: In Proceedings GraMSec 2014, arXiv:1404.163
Achieving Efficient Strong Scaling with PETSc using Hybrid MPI/OpenMP Optimisation
The increasing number of processing elements and decreas- ing memory to core
ratio in modern high-performance platforms makes efficient strong scaling a key
requirement for numerical algorithms. In order to achieve efficient scalability
on massively parallel systems scientific software must evolve across the entire
stack to exploit the multiple levels of parallelism exposed in modern
architectures. In this paper we demonstrate the use of hybrid MPI/OpenMP
parallelisation to optimise parallel sparse matrix-vector multiplication in
PETSc, a widely used scientific library for the scalable solution of partial
differential equations. Using large matrices generated by Fluidity, an open
source CFD application code which uses PETSc as its linear solver engine, we
evaluate the effect of explicit communication overlap using task-based
parallelism and show how to further improve performance by explicitly load
balancing threads within MPI processes. We demonstrate a significant speedup
over the pure-MPI mode and efficient strong scaling of sparse matrix-vector
multiplication on Fujitsu PRIMEHPC FX10 and Cray XE6 systems
DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge
The Data Activated Liu Graph Engine - DALiuGE - is an execution framework for
processing large astronomical datasets at a scale required by the Square
Kilometre Array Phase 1 (SKA1). It includes an interface for expressing complex
data reduction pipelines consisting of both data sets and algorithmic
components and an implementation run-time to execute such pipelines on
distributed resources. By mapping the logical view of a pipeline to its
physical realisation, DALiuGE separates the concerns of multiple stakeholders,
allowing them to collectively optimise large-scale data processing solutions in
a coherent manner. The execution in DALiuGE is data-activated, where each
individual data item autonomously triggers the processing on itself. Such
decentralisation also makes the execution framework very scalable and flexible,
supporting pipeline sizes ranging from less than ten tasks running on a laptop
to tens of millions of concurrent tasks on the second fastest supercomputer in
the world. DALiuGE has been used in production for reducing interferometry data
sets from the Karl E. Jansky Very Large Array and the Mingantu Ultrawide
Spectral Radioheliograph; and is being developed as the execution framework
prototype for the Science Data Processor (SDP) consortium of the Square
Kilometre Array (SKA) telescope. This paper presents a technical overview of
DALiuGE and discusses case studies from the CHILES and MUSER projects that use
DALiuGE to execute production pipelines. In a companion paper, we provide
in-depth analysis of DALiuGE's scalability to very large numbers of tasks on
two supercomputing facilities.Comment: 31 pages, 12 figures, currently under review by Astronomy and
Computin
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