Peripheral Block Extension of a Reconfigurable 8T SRAM In-Memory Computing Macro for High-Throughput MAC Operations

In-Memory Computing (IMC) is a solution to data-transfer bottlenecks by allowing computations within the memory itself. 8T SRAM bitcells are used in a digital IMC architecture for improved read stability and immunity to noise and process variations. Among the state-of-the-art digital 8T SRAM IMC works is the Bit-Parallel Searching and Computing In-Memory (BP-SCIM) macro that supports the most number of operations - content-addressable memory (CAM) search, Boolean logic, and arithmetic. Its bit-parallel approach allows for linear-time multiplication and division, and separate compute and write cycles give a higher clock frequency than other works. However, it only supports multiply-accumulate (MAC) operations by separate multiplication and addition operations, reducing its efficiency. Hence, in this work, the macro was reimplemented under the GlobalFoundries (GF) 22 nm FDSOI CMOS technology, achieving a lower latency, higher throughput, and a maximum operating frequency of 900 MHz in arithmetic operations. The macro was also extended with a peripheral block that improved the performance in MAC operations, decreasing the latency and increasing the throughput by 156 % with an average energy efficiency of 4.86 GOPS/W.

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Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10848689
Primary Topic
Interconnection Networks and Systems
Type
article
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article

Peripheral Block Extension of a Reconfigurable 8T SRAM In-Memory Computing Macro for High-Throughput MAC Operations

Anastacia B. Alvarez, Allen Jason A. Tan, Lawrence Roman A. Quizon, Fredrick Angelo R. Galapon et al.
Interconnection Networks and Systems
article

Peripheral Block Extension of a Reconfigurable 8T SRAM In-Memory Computing Macro for High-Throughput MAC Operations

Anastacia B. Alvarez, Allen Jason A. Tan, Lawrence Roman A. Quizon, Fredrick Angelo R. Galapon, Adelson Chua, Kaijie Wu, Brian Angelo Camba, Aliyah Marie Collada
article en

Abstract

In-Memory Computing (IMC) is a solution to data-transfer bottlenecks by allowing computations within the memory itself. 8T SRAM bitcells are used in a digital IMC architecture for improved read stability and immunity to noise and process variations. Among the state-of-the-art digital 8T SRAM IMC works is the Bit-Parallel Searching and Computing In-Memory (BP-SCIM) macro that supports the most number of operations - content-addressable memory (CAM) search, Boolean logic, and arithmetic. Its bit-parallel approach allows for linear-time multiplication and division, and separate compute and write cycles give a higher clock frequency than other works. However, it only supports multiply-accumulate (MAC) operations by separate multiplication and addition operations, reducing its efficiency. Hence, in this work, the macro was reimplemented under the GlobalFoundries (GF) 22 nm FDSOI CMOS technology, achieving a lower latency, higher throughput, and a maximum operating frequency of 900 MHz in arithmetic operations. The macro was also extended with a peripheral block that improved the performance in MAC operations, decreasing the latency and increasing the throughput by 156 % with an average energy efficiency of 4.86 GOPS/W.

University of the Philippines Diliman (PH)
Affordable and clean energy
Openalex Percentile: Top 69%
Interconnection Networks and Systems
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