units as compared with the GPUs. In this paper we describe our kernel and the programming techniques required to optimize its performance. Keywords—high performance computing; sparse matrix vector (SpMV); linear algebra; digital signal processor (DSP); graphical processor unit (GPU); very long

from a small subset of their portfolio companies, namely those that they exit via an IPO or a sale to another company (M&A). 13 All else equal, the more successful exits a fund has, the larger will be its IRR. Thus, we take as our main proxy for VC fund performance the fraction of the fund

A processor for the adaptation of the coefficients in high throughput adaptive equalizers will be presented. The accumulation operation- fundamental basis of the adaptation process- is split into two steps: A fine-grain carry-save accumulation with timesharing factor 2 collects the products

A processor for the adaptation of the coeflcients in high throughput adaptive equaliz-ers will be presented. The accumulation operation- fundumental basis G $ the adaptation process- is split into two steps: A $ne-grain carry-save accumulation-with timesharing factor 2 collects the products

- in the number of users, K. saturated MA communications. The tree detector re- For the case in which the number of signal dimen-quires the set of linearly dependent user signatures sions is equal to the number of users, K = N,the MA to have tree-structured cross-correlations. This design optimal joint detection

Cattaneo models for chemosensitive movement Numerical solution and pattern formation

of Shapiro and PONS transforms are investigated it's observed that Shapiro transform spreads the signal energy almost equally among the transform domain coecients, which is not common to all transformations. Followingly, PONS transform is very similar to the Walsh transform in that it has similar

rate sampling and digital processing, imposes no restrictions on the transmitter, and uses a CS dictionary with size which does not increase with increasing number of pulses P. Furthermore, in the presence of noise, Doppler focusing enjoys a signal-to-noise ratio (SNR) improvement which scales linearly

Abstract — We consider minimum variance estimation within the sparse linear Gaussian model (SLGM). A sparse vector is to be estimated from a linearly transformed version embedded in Gaussian noise. Our analysis is based on the theory of reproducing kernel Hilbert spaces (RKHS). After a

Digital signatures are an important primitive for building secure systems and are used in most real world security protocols. However, almost all popular signature schemes are either based on the factoring as-sumption (RSA) or the hardness of the discrete logarithm problem (DSA/ECDSA). In the case