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The Cache Performance and Optimizations of Blocked Algorithms
 In Proceedings of the Fourth International Conference on Architectural Support for Programming Languages and Operating Systems
, 1991
"... Blocking is a wellknown optimization technique for improving the effectiveness of memory hierarchies. Instead of operating on entire rows or columns of an array, blocked algorithms operate on submatrices or blocks, so that data loaded into the faster levels of the memory hierarchy are reused. This ..."
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Cited by 574 (5 self)
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Blocking is a wellknown optimization technique for improving the effectiveness of memory hierarchies. Instead of operating on entire rows or columns of an array, blocked algorithms operate on submatrices or blocks, so that data loaded into the faster levels of the memory hierarchy are reused
Consensus and cooperation in networked multiagent systems
 Proceedings of the IEEE
, 2007
"... Summary. This paper provides a theoretical framework for analysis of consensus algorithms for multiagent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, timedelays, and performance guarantees. An ove ..."
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Cited by 807 (4 self)
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. An overview of basic concepts of information consensus in networks and methods of convergence and performance analysis for the algorithms are provided. Our analysis framework is based on tools from matrix theory, algebraic graph theory, and control theory. We discuss the connections between consensus problems
RESOURCE ALLOCATION TECHNIQUE USING LOAD MATRIX METHOD IN WIRELESS CELLULAR SYSTEMS
"... An efficient resource allocation is one of the greatest challenges in wireless cellular communication. The resource allocation schemes avoid wastage of resources by allocating resources to a mobile terminal over a short period of time, providing quality of service over wireless networks is the most ..."
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An efficient resource allocation is one of the greatest challenges in wireless cellular communication. The resource allocation schemes avoid wastage of resources by allocating resources to a mobile terminal over a short period of time, providing quality of service over wireless networks is the most stressing point for service providers. In general a high degree of sharing is efficient, but requires service protection mechanisms to guarantee the QoS for all services. In this paper we address the multi cell interference on overall radio resource utilization and propose a new strategy for resource allocation in multi cell systems. we also propose a joint management of interference within and between cells for allocation of radio resources, Simulation results are showing that there is a significant improvement in the resource utilization so that overall network performance.
Fast Accurate Computation of LargeScale IP Traffic Matrices from Link Loads
 In ACM SIGMETRICS
, 2003
"... A fundamental obstacle to developing sound methods for network and traffic engineering in operational IP networks today is the inability of network operators to measure the traffic matrix. A traffic matrix provides, for every ingress ¢ point into the network and egress £ point ..."
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Cited by 207 (29 self)
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A fundamental obstacle to developing sound methods for network and traffic engineering in operational IP networks today is the inability of network operators to measure the traffic matrix. A traffic matrix provides, for every ingress ¢ point into the network and egress £ point
Load
"... ABSTRACT: In this paper the behaviour of Asynchronous Machine with conventional converter and matrix converter are analysed. The asynchronous machine used for simulation is Induction Motor. The simulator used for simulation is MATLAB / SIMULINK.This paper presents the different simulation results of ..."
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ABSTRACT: In this paper the behaviour of Asynchronous Machine with conventional converter and matrix converter are analysed. The asynchronous machine used for simulation is Induction Motor. The simulator used for simulation is MATLAB / SIMULINK.This paper presents the different simulation results
Bayesian Factor Regression Models in the "Large p, Small n" Paradigm
 Bayesian Statistics
, 2003
"... TOR REGRESSION MODELS 1.1 SVD Regression Begin with the linear model y = X# + # where y is the nvector of responses, X is the n p matrix of predictors, # is the pvector regression parameter, and # , # I) is the nvector error term. Of key interest are cases when p >> n, when X is & ..."
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Cited by 184 (16 self)
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is "long and skinny." The standard empirical factor (principal component) regression is best represented using the reduced singularvalue decomposition (SVD) of X, namely X = FA where F is the nk factor matrix (columns are factors, rows are samples) and A is the k p SVD "loadings
Coil sensitivity encoding for fast MRI. In:
 Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
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Cited by 193 (3 self)
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matrix ⌿ replaced by identity. Then unfolding is still ensured, yet at an SNR penalty, which generally will be the more marked the less equivalent the receivers are with respect to load, gain, and mutual coupling. Equation SENSE: Sensitivity Encoding for General Theory of Sensitivity Encoding Consider
Optimal Transmitter EigenBeamforming and SpaceTime Block Coding Based on Channel Correlations
 IEEE Trans. Signal Processing
, 2003
"... Optimal transmitter designs obeying the waterfilling principle are welldocumented, and widely applied, when the propagation channel is deterministically known and regularly updated at the transmitter. Because channel state information may be costly or impossible to acquire in rapidly varying wirele ..."
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Cited by 163 (9 self)
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antenna paradigm, our optimal transmitter design turns out to be an eigenbeamformer with multiple beams pointing to orthogonal directions along the eigenvectors of the channel's correlation matrix, and with proper power loading across the beams. The optimality pertains to minimizing a tight bound
Sparse principal component analysis via regularized low rank matrix approximation
 Journal of Multivariate Analysis
"... Principal component analysis (PCA) is a widely used tool for data analysis and dimension reduction in applications throughout science and engineering. However, the principal components (PCs) can sometimes be difficult to interpret, because they are linear combinations of all the original variables. ..."
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Cited by 102 (3 self)
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) of the data matrix and extract the PCs through solving a low rank matrix approximation problem. Regularization penalties are introduced to the corresponding minimization problem to promote sparsity in PC loadings. An efficient iterative algorithm is proposed for computation. Two tuning parameter selection
Rainflow Matrix for Switching Random Loads
"... The i:th rainflow cycle is defined as (m rfc i ; M i ). The data are often measurements of stress variations at some point of e.g. a vehicle. This gives rise to a vast amount of data. An important question is how the amount of data can be reduced in such a way that the remaining data gives an as ..."
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an as good prediction of the fatigue life time as possible. The data reduction is provided by calculating a rainflow matrix for the measured load. Models for Mixtures of Loads How does the fatigue damage to a vehicle depend on the usage of the vehicle? When a vehicle is used in its natural environment by a
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