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Using a PIM interface for improving computer medical image processing abilities.

Young-Kyu Kim¹, Young-Jong Jang¹, Dong-Sun Kim¹

¹Korea Electronics Technology Institute, Seongnam-si, Gyeonggi-do, Korea.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine

|May 5, 2020

Summary

This summary is machine-generated.

Processing in memory (PIM) significantly accelerates medical image processing, offering an 81% speed improvement over traditional application processors. This new PIM interface ensures compatibility with existing systems, enhancing data-intensive applications.

Keywords:

Processing in memory medical image processing memory centric computing near data processing

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Area of Science:

Biomedical Engineering
Computer Science
Data Processing

Background:

Biomedical engineers need faster data processing for medical imaging (CT, MRI).
Current systems struggle with the demands of medical image analysis.
Processing in Memory (PIM) offers a potential solution, but faces compatibility challenges.

Purpose of the Study:

Propose a standard memory bus-based PIM interface for medical image processing.
Develop a PIM platform to address legacy system compatibility issues.

Main Methods:

Adapt an embedded system with a commercial application processor (AP) for medical imaging.
Implement and test the proposed PIM interface on the PIM platform.
Measure and compare image processing times between PIM and AP.

Main Results:

The proposed PIM interface functions correctly.
PIM processing is over 81% faster than the AP for medical image processing.
The PIM interface successfully overcomes compatibility issues with legacy systems.

Conclusions:

The PIM interface effectively solves compatibility problems with legacy systems.
PIM is a promising technology for accelerating data-intensive applications.
PIM is expected to benefit medical imaging, academia, and various professional sectors.