Fully Parallelized LZW Decompression for CUDA-Enabled GPUs

Abstract

SUMMARYThe main contribution of this paper is to present a workoptimal parallel algorithm for LZW decompression and to implement it in a CUDA-enabled GPU. Since sequential LZW decompression creates a dictionary table by reading codes in a compressed file one by one, it is not easy to parallelize it. We first present a work-optimal parallel LZW decompression algorithm on the CREW-PRAM (Concurrent-Read Exclusive-Write Parallel Random Access Machine), which is a standard theoretical parallel computing model with a shared memory. We then go on to present an efficient implementation of this parallel algorithm on a GPU. The experimental results show that our GPU implementation performs LZW decompression in 1.15 milliseconds for a gray scale TIFF image with 4096 × 3072 pixels stored in the global memory of GeForce GTX 980. On the other hand, sequential LZW decompression for the same image stored in the main memory of Intel Core i7 CPU takes 50.1 milliseconds. Thus, our parallel LZW decompression on the global memory of the GPU is 43.6 times faster than a sequential LZW decompression on the main memory of the CPU for this image. To show the applicability of our GPU implementation for LZW decompression, we evaluated the SSD-GPU data loading time for three scenarios. The experimental results show that the scenario using our LZW decompression on the GPU is faster than the others.

Adaptive loss‐less data compression method optimized for GPU decompression

“…Gompresso LZ77-based 8 LZW GPU implementation of LZW 9,23 shown in Funasaka et al 17 For evaluating the performance including the data compression ratio and the running time for decompression, we have used a data set in Table 3.…”

“…Quite recently, we have presented GPU implementation of LZW decompression with code-wise parallel. 17 The idea is to create a dictionary by parallel pointer traversing. Because pointer traversing is code-wise parallel, LZW decompression on the GPU is much faster than CULZSS decompression.…”

“…() However, threads perform compression and decompression with strip‐wise low parallelism. Quite recently, we have presented GPU implementation of LZW decompression with code‐wise parallel . The idea is to create a dictionary by parallel pointer traversing.…”

Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression

“…Funasaka et al have demonstrated multiple approaches for efficient decompression facilities on GPUs with the goal of increasing the data transfer efficiency either from host main memory or from non‐volatile storage. The approaches are using different compression algorithms, including the heavy‐weight LZW algorithm 37 as well as custom light‐weight strategies such as the light loss‐less data compression (LLL) 38 and adaptive lossless data compression (ALL) 6 approaches. Especially the custom algorithms LLL and ALL optimized for efficient decompression on GPUs can outperform CULZSS 25 and their GPU‐based LZW implementation 37 significantly.…”

“…The approaches are using different compression algorithms, including the heavy‐weight LZW algorithm 37 as well as custom light‐weight strategies such as the light loss‐less data compression (LLL) 38 and adaptive lossless data compression (ALL) 6 approaches. Especially the custom algorithms LLL and ALL optimized for efficient decompression on GPUs can outperform CULZSS 25 and their GPU‐based LZW implementation 37 significantly. Rozenberg et al 39 presented a library of GPU‐based decompressors for many established light‐weight compression algorithms.…”