  In this manuscript we present a fast GPU implementation for tomographic
reconstruction of large datasets using data obtained at the Brazilian
synchrotron light source. The algorithm is distributed in a cluster with 4 GPUs
through a fast pipeline implemented in C programming language. Our algorithm is
theoretically based on a recently discovered low complexity formula, computing
the total volume within O(N3logN) floating point operations; much less than
traditional algorithms that operates with O(N4) flops over an input data of
size O(N3). The results obtained with real data indicate that a reconstruction
can be achieved within 1 second provided the data is transferred completely to
the memory.
