  We present a highly scalable algorithm for multiplying sparse multivariate
polynomials represented in a distributed format. This algo- rithm targets not
only the shared memory multicore computers, but also computers clusters or
specialized hardware attached to a host computer, such as graphics processing
units or many-core coprocessors. The scal- ability on the large number of cores
is ensured by the lacks of synchro- nizations, locks and false-sharing during
the main parallel step.
