Using Chiplet Encapsulation Technology to Achieve Processing-in-Memory Functions

Author:

Tian Wenchao,Li Bin,Li Zhao,Cui HaoORCID,Shi JingORCID,Wang Yongkun,Zhao Jingrong

Abstract

With the rapid development of 5G, artificial intelligence (AI), and high-performance computing (HPC), there is a huge increase in the data exchanged between the processor and memory. However, the “storage wall” caused by the von Neumann architecture severely limits the computational performance of the system. To efficiently process such large amounts of data and break up the “storage wall”, it is necessary to develop processing-in-memory (PIM) technology. Chiplet combines processor cores and memory chips with advanced packaging technologies, such as 2.5D, 3 dimensions (3D), and fan-out packaging. This improves the quality and bandwidth of signal transmission and alleviates the “storage wall” problem. This paper reviews the Chiplet packaging technology that has achieved the function of PIM in recent years and analyzes some of its application results. First, the research status and development direction of PIM are presented and summarized. Second, the Chiplet packaging technologies that can realize the function of PIM are introduced, which are divided into 2.5D, 3D packaging, and fan-out packaging according to their physical form. Further, the form and characteristics of their implementation of PIM are summarized. Finally, this paper is concluded, and the future development of Chiplet in the field of PIM is discussed.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Reference61 articles.

1. A 28-nm Compute SRAM With Bit-Serial Logic/Arithmetic Operations for Programmable In-Memory Vector Computing

2. NDA: Near-DRAM acceleration architecture leveraging commodity DRAM devices and standard memory modules;Farmahini-Farahani;Proceedings of the 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA),2015

3. Hydrogen Storage Performance of γ-Graphdiyne Doped Li Based on First Principles for Micro/Nano

4. A scalable processing-in-memory accelerator for parallel graph processing;Ahn;Proceedings of the 42nd Annual International Symposium on Computer Architecture,2015

5. TOP-PIM: Throughput-oriented programmable processing in memory;Zhang;Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing,2014

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