Topic
Software portability
About: Software portability is a research topic. Over the lifetime, 8987 publications have been published within this topic receiving 164922 citations. The topic is also known as: portability.
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TL;DR: PyFR as mentioned in this paper is an open-source high-order accurate computational fluid dynamics solver for unstructured grids, which has been extended to run on mixed element meshes, and a range of hardware platforms, including heterogeneous multi-node systems.
63 citations
TL;DR: This work proposes a new high-level intermediate representation (IR) called Relay, being designed as a purely-functional, statically-typed language with the goal of balancing efficient compilation, expressiveness, and portability.
Abstract: Machine learning powers diverse services in industry including search, translation, recommendation systems, and security. The scale and importance of these models require that they be efficient, expressive, and portable across an array of heterogeneous hardware devices. These constraints are often at odds; in order to better accommodate them we propose a new high-level intermediate representation (IR) called Relay. Relay is being designed as a purely-functional, statically-typed language with the goal of balancing efficient compilation, expressiveness, and portability. We discuss the goals of Relay and highlight its important design constraints. Our prototype is part of the open source NNVM compiler framework, which powers Amazon's deep learning framework MxNet.
62 citations
12 Sep 2012
TL;DR: This paper analyzes TOSCA with the focus on requirements on workflow modeling languages to come up with a strong link to the application topology with the goal to improve modeling support.
Abstract: TOSCA is an upcoming standard to capture cloud application topologies and their management in a portable way. Management aspects include provisioning, operation and deprovisioning of an application. Management plans capture these aspects in workflows. BPMN 2.0 as general-purpose language can be used to model these workflows. There is, however, no tailored support for management plans in BPMN. This paper analyzes TOSCA with the focus on requirements on workflow modeling languages to come up with a strong link to the application topology with the goal to improve modeling support. To simplify the modeling of management plans, we introduce BPMN4TOSCA, which extends BPMN with four TOSCA-specific elements: TOSCA Topology Management Task, TOSCA Node Management Task, TOSCA Script Task, and TOSCA Data Object. Portability is ensured by a transformation of BPMN4TOSCA to plain BPMN. A prototypical modeling tool supports the strong link between the management plan and the TOSCA topology.
62 citations
TL;DR: A comprehensive survey on noninvasive/pain-free blood glucose monitoring methods from the recent five years is presented, holding AI-based estimation and decision models hold the future of nonin invasive glucose monitoring in terms of accuracy, cost effectiveness, portability, efficiency, etc.
Abstract: Keeping track of blood glucose levels non-invasively is now possible due to diverse breakthroughs in wearable sensors technology coupled with advanced biomedical signal processing. However, each user might have different requirements and priorities when it comes to selecting a self-monitoring solution. After extensive research and careful selection, we have presented a comprehensive survey on noninvasive/pain-free blood glucose monitoring methods from the recent five years (2012–2016). Several techniques, from bioinformatics, computer science, chemical engineering, microwave technology, etc., are discussed in order to cover a wide variety of solutions available for different scales and preferences. We categorize the noninvasive techniques into nonsample- and sample-based techniques, which we further grouped into optical, nonoptical, intermittent, and continuous. The devices manufactured or being manufactured for noninvasive monitoring are also compared in this paper. These techniques are then analyzed based on certain constraints, which include time efficiency, comfort, cost, portability, power consumption, etc., a user might experience. Recalibration, time, and power efficiency are the biggest challenges that require further research in order to satisfy a large number of users. In order to solve these challenges, artificial intelligence (AI) has been employed by many researchers. AI-based estimation and decision models hold the future of noninvasive glucose monitoring in terms of accuracy, cost effectiveness, portability, efficiency, etc. The significance of this paper is twofold: first, to bridge the gap between IT and medical field; and second, to bridge the gap between end users and the solutions (hardware and software).
62 citations
14 Nov 1994
TL;DR: The design and implementation of a portable debugger for parallel and distributed programs is described, which incorporates a client server model in order to isolate nonportable debugger code from the user interface.
Abstract: We describe the design and implementation of a portable debugger for parallel and distributed programs. The design incorporates a client server model in order to isolate nonportable debugger code from the user interface. The precise definition of a protocol for client server interaction facilitates a high degree of client portability. Replication of server components permits the implementation of a debugger for distributed computations. Portability across message passing implementations is achieved with a protocol that specifies the interaction between a message passing library and the debugger. This permits the same debugger to be used both on PVM and MPI programs. The process abstractions used for debugging message passing programs can be adapted to debug HPF programs at the source level. This permits the meaningful display of information obscured in tool generated code. >
62 citations