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Isoeffiency analysis helps us determine the best akorith m/a rch itecture combination for a particular p ro blem without explicitly analyzing all possible combinations under all possible conditions. T he fastest sequential algorithm for a given problem is the best sequential algorithm. But determining the best parallel algorithm is considerably more(More)
We present algorithms for the symbolic and numerical factorization phases in the direct solution of sparse unsymmetric systems of linear equations. We have modified a classical symbolic factorization algorithm for unsymmetric matrices to inexpensively compute minimal elimination structures. We give an efficient algorithm to compute a near-minimal(More)
Previous studies have shown that the V12M and Q141K variants of breast cancer resistance protein (BCRP) can affect expression and function of the transporter. In this study, the effects of the I206L, N590Y, and D620N variants on protein expression, plasma membrane localization, and transport activity of BCRP were investigated. Wild-type BCRP and the three(More)
This paper presents a design flow that optimizes a standard cell based circuit for performance by implementing critical paths in a Programmable Logic Array (PLA). Given a standard-cell based circuit as input, our approach iteratively extracts critical paths from this circuit, which are then implemented using a PLA circuit. PLAs are a good candidate for such(More)
In this paper, we describe scalable parallel algorithms for sparse matrix factorization, analyze their performance and scalability, and present experimental results for up to 1024 processors on a Cray T3D parallel computer. Through our analysis and experimental results, we demonstrate that our algorithms substantially improve the state of the art in(More)
In this paper, we present the scalability analysis of parallel Fast Fourier Transform algorithm on mesh and hypercube connected multicomputers using the isoefficiency metric. The isoefficiency function of an algorithm architecture combination is defined as the rate at which the problem size should grow with the number of processors to maintain a fixed(More)
The discovery that mesenchymal stem cells (MSCs) are recruited into tumors has led to a great deal of interest over the past decade in the function of MSCs in tumors. To address this, investigators have used a variety of tumor models in which MSCs are added exogenously to determine their impact on tumor development. Interestingly, many studies have reported(More)
The breast cancer resistance protein (BCRP) is abundant in the placenta and protects the fetus by limiting placental drug penetration. We hypothesize that pregnancy-specific hormones regulate BCRP expression. Hence, we examined the effects of progesterone (P4) and 17beta-estradiol (E2) on BCRP expression in the human placental BeWo cells. P4 and E2(More)