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Stochastic gradient descent (SGD) is one of the most popular numerical algorithms used in machine learning and other domains. Since this is likely to continue for the foreseeable future, it is important to study techniques that can make it run fast on parallel hardware. In this paper, we provide the first analysis of a technique called BUCKWILD! that uses both asynchronous execution and low-precision...
Applying network coding and opportunistic routing can significantly improve the throughput performance of wireless multi-hop networks, but a mismatch problem still exists among the upper flow rate, routing and lower transmission resource scheduling. This paper models the throughput optimization as a network utility function maximization in wireless multi-hop networks. By applying Lagrangian dual decomposition...
Polar codes are a family of error correcting codes that achieves the symmetric capacity of memoryless channels when the code length N tends to infinity. However, moderate code lengths are required in most of wireless digital applications to limit the decoding latency. In some other applications, such as optical communications or quantum key distribution, the latency introduced by very long codes is...
This paper proposes the algorithms for optimization of Remote Core Locking (RCL) synchronization method in multithreaded programs. The algorithm of initialization of RCL-locks and the algorithms for threads affinity optimization are developed. The algorithms consider the structures of hierarchical computer systems and non-uniform memory access (NUMA) to minimize execution time of RCL-programs. The...
Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average...
Energy harvesting has been gaining a lot of attention in the past decade due to its ability to provide a-virtually-endless energy supply. Nodes in a Wireless Powered Communication Network (WPCN) depend, totally or partially, on the energy harvested from the Central Node (CN) which has a constant power supply. This work addresses a solution to the problem of lack of fairness in the distribution of...
The network infrastructures have been rapidly upgraded in many high-performance networks (HPNs). However, such infrastructure investment has not led to corresponding performance improvement in big data transfer, especially at the application layer, largely due to the complexity of optimizing transport control on end hosts. We design and implement ProbData, a PRofiling Optimization Based DAta Transfer...
Traffic engineering at network edges is challenging given the latency-sensitive nature of all applications that need to be supported. End-to-end delay estimation and forecasts were essential traffic engineering tools even before the mobile edge computing paradigm pushed the cloud closer to the end user. In this paper, we model the path selection problem for edge traffic engineering using a risk minimization...
Non-Orthogonal Multiple Access (NOMA) is a promising multiple access technique for 5G wireless communication networks due to its higher spectral efficiency and user fairness. Power allocation is the key to improve the performance of NOMA systems. In this paper, we focus on a certain NOMA group of a hybrid NOMA system. We formulate a sum-throughput maximization problem for uplink under the constraints...
The decode-and-forward (DF) relay based cellular network is considered an efficient technique for solving the coverage and improving system capacity of the current fourth-generation (4G) and the emerging fifth-generation (5G) mobile telecommunication technologies. In this analysis, we control the codeword's transmission parameters by achieving a good trade-off between setting more resources with changing...
This paper studies a backscatter assisted wireless powered communication network (BAWPCN) with two users, which can work in the backscatter communication (BackCom) and harvest-then-transmit (HTT) modes, respectively. The user with the HTT mode is also equipped with initial energy stored in its battery with a finite capacity. The proposed model is studied based on a time block, which is divided into...
The emergence of 5G wireless communication calls for new paradigms to satisfy the individuation and diversification of users' demands. In this paper, we construct the multicast groups under the guidance of user interest and then allocate the subcarriers and power to these groups in orthogonal frequency division multiple (OFDM) networks. Specifically, in order to maximize the social utility related...
A key challenge in software systems that are exposed to runtime variabilities, such as workload fluctuations and service degradation, is to continuously meet performance requirements. In this paper we present an approach that allows performance self-adaptation using a system model based on queuing networks (QNs), a well-assessed formalism for software performance engineering. Software engineers can...
This paper studies routing performance loss due to traffic split ratio granularity constraints. For any given fineness of traffic splitting capability, we provide upper bounds on the loss of performance. Based on tight convex relaxation, we further develop an efficient approximation algorithm to compute a good routing solution that satisfies given constraints on traffic splitting. The results can...
In this paper, we present an ant colony optimization (ACO) based Bayesian learning which optimizes the transmission energy efficiency for a multi-user multi-carrier communication system. The ACO algorithm is inspired by the swarm behavior of ants — sharing out the work and helping one another, which is a kind of Bayesian learning. The resource allocation problem in a multi-user multi-carrier system...
Taking advantage of both edge cache (EC) and coordinated processing, cache-enabled cloud radio access networks (C-RANs) have shown good potential to become a solution for future wireless networks. With the demand that the network needs to be fast, green and affordable, it has become an issue both practical and challenging to design a resource allocation strategy that leads to a proper balance among...
Cognitive radio (CR) is an effective way to improve the utilization of spectrum resource. This paper focuses on the resource allocation in cooperative relay cognitive radio networks and proposes an optimized resource allocation algorithm. In the algorithm, when the channel between the primary source and destination is good, the primary user (PU) selects a best sub-channel to transmit its data directly,...
This paper proposes a systematic approach to help designers to optimise a given streaming application for FPGAs using High-Level Synthesis (HLS). The proposed technique specifically addresses the two main issues in a streaming application that are determining the exact amount of loop unrolling in the HLS code to increase the throughput and finding the optimum buffers' size to prevent deadlocks. To...
Ultra-deep sub-micron technology is shifting the design paradigm from area optimization to power optimization. In the context of Network-on-Chip (NoC) based design, energy consumption due to data transfer among network nodes is no longer negligible. Starting from the observation that, among the two brain hemispheres around 1 out of 106 synapses are active at the same time, in this paper we propose...
A high-throughput architecture of the CCSDS 122.0-B-1 image compression standard is proposed. The architecture uses a novel memory organization in order to reduce the total memory operations and the number of the individual memories allowing operation without external memories. The architecture has been implemented on space grade and commercial FPGA Device. It achieves 136 MSamples/sec on space grade...
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