Parallel heuristic search algorithms are widely used in artificial intelligence. This paper describes novel parallel variants of two standard sequential search algorithms, the standard Davis Putnam algorithm (DP); and the same algorithm extended with conflict-directed backjumping (CBJ). Encouraging preliminary results for the GpH parallel dialect of the non-strict functional programming language Haskell suggest that modest real speedup can be achieved for the most interesting hard search cases.