TY  - JOUR
T1  - Implementation of Parallelization Techniques for PIM-Based JPEG Decoder in High-Resolution Image Processing
AU  - Kim, Jieun 
AU  - Nam, Dukyun 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.2.357
KW  - Parallel JPEG Decoding
KW  - Processing-in-Memory (PIM)
KW  - High-resolution Image Processing
AB  - JPEG is a digital image format widely used in various applications due to its ability to effectively reduce image file size. JPEG decoding involves restoring compressed image data for display or post-processing and plays a crucial role in fields such as real-time applications and deep learning, where large-scale image processing is required. However, JPEG decoding can become a performance bottleneck, prompting the development of various accelerator-based parallel processing techniques. Recently, research utilizing Processing-in-Memory (PIM) architectures has gained attention. Existing studies on PIM-based JPEG decoders have applied hardware threads and the AAN algorithm to improve performance, but limitations such as constrained memory capacity per DPU and lack of inter-DPU communication have restricted the resolution of image that can be processed. In this paper, we propose a modified JPEG decoding pipeline to overcome these limitations. By performing Huffman decoding in the host CPU, the need for inter-DPU communication is eliminated, enabling parallel processing without data dependencies between MCUs (Minimum Coded Units). Experiments conducted on the UPMEM PIM server using a high-resolution image dataset show that the proposed decoder can successfully decode high-resolution images that the existing PIM decoder could not process.