The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Graph mining is widely used in fields like social network analysis. The synchronous vertex-centric frameworks strike better balance between the performance and ease-of-use, so they are widely used in realistic. However, traditional architectures of this type, like the vertex-based push architecture and GAS, are encumbered by high communication costs. In this paper we proposed a new replica-based push...
Deep learning models have showed great potential in classification and recognition over the last decade. Deep Belief Networks (DBNs) have been applied in visual, voice fields due to their great feature presentation capability. However, there are a vast number of time consuming calculations in the training of DBNs. Many researches have accelerated the training of DBNs with good speedups on CPU, GPU,...
Adapting systems to the changes of their ubiquitous environments is a complex task. The autonomic computing was proposed as a solution to tackle this complexity. It brings a system with self-management capabilities to dynamically adapt itself to context. We are interested in the architectural adaptation approaches of autonomic applications which follow the MAPE-K loop process. During the execution...
Computing systems increasingly comprise large numbers of heterogeneous subsystems, each with their own local perspective and goals, connected in dynamic networks, and interacting with each other and humans in ways which are difficult to predict. Nevertheless, users engaging with different parts of the system still expect high performance, reliability, security and other qualities, provided in a way...
The exciting moments for cellular networks is the currently on-going deployment of fourth generation (4G) networks offering services to customers worldwide. The key asset for users and operators alike is the support 5G networks continue to receive towards improved communication systems. This paper addresses issues of integrated resource scheduling within cellular networks and proposing an improvement...
In this paper, we make a case for using lightweight containers for fine-grained resource flexing for Virtualized Network Functions (VNFs) to meet the demands of varying workloads. We quantitatively compare the VNF performance and infrastructure resource usage of three instantiations (bare metal, virtual machine, and container) of three selected VNFs. The three VNFs we experiment with are the Mobility...
Service Function Chaining (SFC) defines the concept of linking ordered Service Functions (SFs) through network technologies to support specific application requirements. SFC exploits Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies to achieve the creation, modification and deletion of SFC in a cost efficient and rapid way. However, during the runtime phase,...
This paper presents an ultra-high-performance neural network engine fabricated in a 65nm CMOS technology. The 0.9mm2 core relies on an energy-efficient resonant clock mesh running at 5.5GHz to achieve 0.76 8-bit TOPS, improving throughput by over 4x, area efficiency by over 8×, and energy-delay-area product by over 1.8× compared to previous state-of-the-art neural network designs. Achieving a charge...
This paper presents a first reported passive-charge-sharing SAR ADC that achieves 16 bit linearity. It is known that on chip passive-charge-sharing suffers from poor linearity due to the unregulated reference voltage during bit trials. The proposed unique ADC architecture and calibration technique addresses the issue of signal dependent reference voltage droop during SAR ADC bit trials and orthogonalize...
The accelerating progress of network speed, reliability and security creates an increasing demand to move software and services from being stored and processed locally on users' machines to being managed by third parties that are accessible through the network. This has created the need to develop new software development methods and software architectural styles that meet these new demands. One such...
Parabolic motion cameras are used to obtain better deblurring results of scenes with multiple moving objects. The core of its deblurring process is Iterative Re-weighted Least Squares (IRLS) method. In this paper, we design a hardware accelerator for IRLS flow. The ASIC chip is implemented using TSMC 90 nm technology. It is capable of deblurring a 640 × 480 image captured by a parabolic camera with...
In this paper, which describes a work in progress, we wish to propose context aware service delivery, and we focus on distributed human computer interface, in order to exploit the variety of interaction mode/capabilities according to current situation, users, and context. Our aim is providing new kind of more dynamic interaction modes. We particularly focus on the domain of smart-home (including digital...
The emerging requirements for 5th generation (5G) mobile networks lead to a complete network paradigm refurbishment by leveraging on Network Function Virtualisation (NFV) and Mobile Edge Computing (MEC). While NFV adds flexibility by allowing network functions to be dynamically deployed and inter-connected, MEC brings intelligence at the edge of the mobile network, reduces latency and enhances the...
This paper presents a new approach for extracting synchronization-free parallelism available in program loop nests. The approach allows for extracting parallelism for arbitrarily nested parametric loop nests, where the loop bounds and data accesses are affine functions of loop indices and symbolic parameters. Parallelization is realized using the transitive closure of a dependence graph. Speed-up...
The EU funded FP7 project T-NOVA, with the specific goal of accelerating the evolution of NFV, proposes an open architecture to provide Virtual Network Functions as a Service (VNFaaS), together with a dynamic, and flexible platform for the management of Network Services (NSs) composed by those Virtual Network Functions (VNFs). This demo illustrates mature work carried out on the orchestration and...
In mixed-criticality systems, resource management services are required to recognize and fulfill system wide high-level constraints, e.g., end-to-end deadlines. This is not possible through individual resources in isolation. Instead, a system-wide view is necessary which requires system-wide decisions. In the European FP7 project DREAMS, services for system-wide adaptability of mixed-criticality applications...
Due to the explosive increase of online images, content-based image retrieval has gained a lot of attention. The success of deep learning techniques such as convolutional neural networks have motivated us to explore its applications in our context. The main contribution of our work is a novel end-to-end supervised learning framework that learns probability-based semantic-level similarity and feature-level...
The paper is aimed to present how Neuro-Fuzzy Systems can be applied for identifying a general system model of a given problem defined by a set of variables. Neuro-Fuzzy Systems are favored in many application fields because they provide fair accuracy and their inner computational model can be interpreted through the fuzzy rules they encapsulate. The proposed input-output search algorithm is able...
In this paper, we design a hierarchical feature construction method for image classification. Our method has two feature construction stages: (1) feature construction by a combination of primitive image processing filters, and (2) feature construction by evolved filters. We verify the image classification performance of the proposed method on the MIT urban and nature scene dataset. The experimental...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.