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: A structured and analytical overview of the existing popular object detection models that can be re-purposed for defect detection: such as Region based CNNs, YOLO(You only look once), SSD, SSD(single shot detectors) and cascaded architectures is offered.
63 citations
TL;DR: In this paper, the authors review the theoretical and empirical literature evaluating the labor market effects of policies to enhance pension portability and find that reducing the cost of job change reduces the probability of losing a job.
Abstract: This paper reviews the theoretical and empirical literature evaluating the labor market effects of policies to enhance pension portability. One perspective is that reducing the cost of job change w...
63 citations
18 Jun 2018
TL;DR: Relay as mentioned in this paper is a purely functional, statically-typed language with the goal of balancing efficient compilation, expressiveness, and portability for machine learning models across an array of heterogeneous hardware devices.
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.
63 citations
TL;DR: The effects of CPU and GPU parallel computing specifically in EM & OM applications in a broad scope, which include digital image/volume correlation, fringe pattern analysis, tomography, hyperspectral imaging, computer-generated holograms, and integral imaging are reviewed.
63 citations
22 Apr 2012
TL;DR: The goal of this combination "Work-in-Progress and Vision" paper is to delineate application requirements in a manner that is not overly specific to individual applications or the optimizations used for certain hardware platforms, so that the authors can draw broader conclusions about hardware requirements.
Abstract: In the past, evaluating the architectural innovation of parallel computing devices relied on a benchmark suite based on existing programs, e.g., EEMBC or SPEC. However, with the growing ubiquity of parallel computing devices, we argue that it is unclear how best to express parallel computation, and hence, a need exists to identify a higher level of abstraction for reasoning about parallel application requirements. Therefore, the goal of this combination "Work-in-Progress and Vision" paper is to delineate application requirements in a manner that is not overly specific to individual applications or the optimizations used for certain hardware platforms, so that we can draw broader conclusions about hardware requirements. Our initial effort, dubbed "OpenCL and the 13 Dwarfs" or OCD for short, realizes Berkeley's 13 computational dwarfs of scientific computing in OpenCL, where each dwarf captures a pattern of computation and communication that is common to a class of important applications.
63 citations