Visual Cryptography (VC) has emerged as a separate discipline to meet the security concerns of vital image resources. Traditional (k, m) VC creates m encrypted shares out of given secret images. Decryption can be done by stacking specified number of shares, say k, to reveal the secret images. Rotational VC is a technique in which the shares stacked with the specific rotated shares reveals secret images. Parallel Rotational VC (PRVC) is a General Purpose Graphic Processing Unit (GPGPU) implementation of rotational (2, 3) VC scheme in which GPGPU generates three shares for three secret images. Reconstruction of secret images is possible with the intersection of a given pair of share and a rotated share. We propose Pipelined PRVC (PPRVC) which combines task parallelism capability of a GPGPU with the data parallelism. The result showed a significant computational acceleration over PRVC.