LT-PIM: An LUT-Based Processing-in-DRAM Architecture with RowHammer Self-Tracking
Document Type
Article
Publication Date
1-1-2022
Abstract
Herein, we propose LT-PIM as a Lookup Table-based Processing-In-Memory architecture leveraging the high density of DRAM to enable massively parallel and flexible computation. LT-PIM supports lookup table queries to execute complex arithmetic operations, such as multiplication via only memory read operation. In addition, LT-PIM enables bulk bit-wise in-memory logic by elevating the analog operation of the DRAM sub-array to implement Boolean functions between operands in the same bit-line. With this, LT-PIM enables a complete and inexpensive in-DRAM RowHammer (RH) self-tracking approach. Our results demonstrate that LT-PIM achieves ∼70% higher energy efficiency than the fastest charge-sharing-based designs and ∼32% over the best LUT-based designs. As for the RH self-tracking, with a worst-case slowdown of ∼0.2%, LT-PIM archives up to ∼80% energy-saving over the best designs.
Identifier
85141571907 (Scopus)
Publication Title
IEEE Computer Architecture Letters
External Full Text Location
https://doi.org/10.1109/LCA.2022.3220084
e-ISSN
15566064
ISSN
15566056
First Page
141
Last Page
144
Issue
2
Volume
21
Recommended Citation
Zhou, Ranyang; Tabrizchi, Sepehr; Roohi, Arman; and Angizi, Shaahin, "LT-PIM: An LUT-Based Processing-in-DRAM Architecture with RowHammer Self-Tracking" (2022). Faculty Publications. 3469.
https://digitalcommons.njit.edu/fac_pubs/3469