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The intense demand for video applications from mobile devices brings a challenge to the hardware design, especially in the energy consumption. This work presents a design space exploration to define energy-efficient cache memory configurations for the ME process considering different video sequences and HEVC encoder configurations. We focus on the Motion Estimation (ME) process, known as the most...
Analog signal sampling is one of the most fundamental topics in engineering sciences. The classical Shannon theorem is proposed for the band-limited signals, and so far it has been a cornerstone in signal processing and communication theory. In this work, we present a group of local time domain theorems for sampling differentiable continuous analog signals through Lagrange interpolation, and show...
With the technology improvements, managing a large amount of multimedia objects such as audio, video, picture or a combination of these has become possible. Multimedia data needs more real time storage and high data transfer than traditional textual and numeric data. In addition to these requirements, significant amount of computation is demanded for multimedia applications to serve many users at...
The quality of service multicast routing problem (QoSMRP) is a very interesting research issue for transmission in communication networks. It is known to be an NP-hard problem, so many heuristic algorithms have been employed for solving this problem. This paper proposes two hybrid approaches based on the hybridization of Firefly algorithm (FA) with Quantum Evolutionary algorithm (QEA) to solve the...
Virtual Network Embedding (VNE) is widely considered as a longstanding challenge in Network Virtualization: how to efficiently embed multiple virtual networks (VNs), with node-link resource requirements, onto the shared substrate network (SN), having finite underlying resources. Most heuristic VNE algorithms in the literature, only considering single network topology attribute and local network resources,...
A lot of research has been proposed to improve network performance in the data center. However, with the development of distributed applications, these applications face a new performance bottleneck since existing solutions almost ignore the application level optimization. The concept of coflow has been proposed which provides a chance for us to optimize network in application level rather than individual...
Call admission control (CAC) is one of the vital components in the management of the scarce wireless network resources in mobile broadband networks. Recently, a QoS-aware CAC algorithm with Bandwidth Reservation (BR) and Bandwidth Degradation (BD) (QACAC-BR-BD) was proposed to improve resource utilization and ensure QoS for all classes. However, the algorithm wastes network resources due to a static...
The dense wavelength division multiplexed system operating near zero dispersion region and at low channel powers is much affected by the four-wave mixing (FWM). In this paper, a novel sub-optimum four-wave mixing minimization method is presented. The distinct feature of the method is that it selectively minimizes the four-wave mixing and enhances performance and spectral bandwidth efficiency in a...
The virtual networking embedding (VNE) problem is a core issue in network virtualization. This is also a challenging problem as it contains different kinds of constraints, and its complexity becomes even higher in an online VNE problem with thousands of virtual network (VN) requests. In this paper, we proposed an ant colony system based VNE algorithm, called ACS-VNE, for the online VNE problem. The...
This article presents some issues of correlative signal processing using field programmable gate arrays (FPGA). At first, the noise signal is briefly described. Second, an overview of some existing implementations is made. Preliminary results of own implementation are presented as a third.
The emergence of power efficiency as a primary constraint in processor and system designs poses new challenges concerning power and energy awareness for numerical libraries and scientific applications. Power consumption also plays a major role in the design of data centers in particular for peta- and exa-scale systems. Understanding and improving the energy efficiency of numerical simulation becomes...
Recently, architectures with scratchpad memory are gaining popularity. These architectures consist of low bandwidth, large capacity DRAM and high bandwidth, user addressable small capacity scratchpad. Existing algorithms must be redesigned to take advantage of the high bandwidth while overcoming the constraint on capacity of scratchpad. In this paper, we propose an optimized edge-centric graph processing...
The resonance frequency of an active element in a piezoelectric ultrasonic transducer is dependent on its length scale. Inspired by natural occurring auditory systems, incorporation of elements with varying length scales in the piezoelectric transducer design can result in a wider operational bandwidth. A mathematical algorithm has been developed to define the feature of a fractal geometry called...
Adapting quality based on the underlying network conditions is one of the most important components of video streaming applications. Today HTTP adaptive video streaming systems are used prevalently around the world and this tendency led MPEG group to standardize DASH. Scalable video coding can be used as an alternative codec in DASH applications. In this case quality adaptation can be done by adding...
The WRGB-OLED with larger-sized display resolution can bring us more colorful and better visual experiences. However, it also makes OLED display system suffer from a serious bottleneck on memory bandwidth. In this paper, the lossless pixel-gradient EC algorithm is proposed to overcome this bottleneck. It consists of two core techniques: Finer-Gradient-Based Prediction (FGBP) and Gradient-Based Golomb-Rice...
Interconnection networks must meet the communication demands of current High-Performance Computing systems. In order to interconnect efficiently the end nodes of these systems with a good performance-to-cost ratio, new network topologies have been proposed in the last years that leverage high-radix switches, such as Slim Fly. Adversarial traffic patterns, however, may reduce severely the performance...
The Gaussian kernel least-mean-square (Gaussian KLMS) algorithm has been studied under different implementation conditions. Though analytical models that predict its behavior are available, methodologies for determining the algorithm parameter values to satisfy given design criteria is still missing from the literature. In this paper we propose, test, and validate a methodology for the design of the...
Video is becoming one of the biggest traffic generating elements and the current progressive download approach has been found inefficient in terms of resource utilization. A machine learning based approach is proposed for the video streaming with DASH (Dynamic adaptive streaming over HTTP) as an underlying architecture to help client adapt to the changing streaming environment. The reason for using...
Embedded multi core systems are implemented as systems-on-chip (SoC) that rely on packet store-and-forward networks-on-chip (NoC) for communications. These systems do not use busses nor global clock. Instead routers are used to move data between the cores and each core uses its own local clock. This implies concurrent asynchronous computing. Implementing algorithms in such system is very much facilitated...
With the development of passive optical networks (PONs), to cache videos on optical network units (ONUs) is now considering as an efficient scheme for better-quality video service provision. In this paper, we study the problem of collaborative video distribution among ONUs under the limited storage capacity of each ONU with the aim to maximize the video hit ratio of ONUs (VHRO). Two scenarios will...
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