title: GPU-accelerated compressive holography.
abstract: In this paper, we show fast signal reconstruction for compressive holography using a graphics processing unit (GPU). We implemented a fast iterative shrinkage-thresholding algorithm on a GPU to solve the ℓ1and total variation (TV) regularized problems that are typically used in compressive holography. Since the algorithm is highly parallel, GPUs can compute it efficiently by data-parallel computing. For better performance, our implementation exploits the structure of the measurement matrix to compute the matrix multiplications. The results show that GPU-based implementation is about 20 times faster than CPU-based implementation.
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Endo
authors.forename: Tomoyoshi
authors.initials: T
authors.lastname: Shimobaba
authors.forename: Takashi
authors.initials: T
authors.lastname: Kakue
authors.forename: Tomoyoshi
authors.initials: T
authors.lastname: Ito