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For deeply scaled digital integrated systems, the power required for transporting data between memory and logic can exceed the power needed for computation, thereby limiting the efficacy of synthesizing logic and compiling memory independently. Logic-in-Memory (LiM) architectures address this challenge by embedding logic within the memory block to perform basic operations on data locally for specific...
This paper introduces a 3D-stacked logic-in-memory (LiM) system that integrates the 3D die-stacked DRAM architecture with the application-specific LiM IC to accelerate important data-intensive computing. The proposed system comprises a fine-grained rank-level 3D die-stacked DRAM device and extra LiM layers implementing logic-enhanced SRAM blocks that are dedicated to a particular application. Through...
This paper introduces a 3D-stacked logic-in-memory (LiM) system to accelerate the processing of sparse matrix data that is held in a 3D DRAM system. We build a customized content addressable memory (CAM) hardware structure to exploit the inherent sparse data patterns and model the LiM based hardware accelerator layers that are stacked in between DRAM dies for the efficient sparse matrix operations...
The Smith-Waterman (SW) algorithm is one of the widely used algorithms for sequence alignment in computational biology. With the growing size of the sequence database, there is always a need for even faster implementation of SW. In this paper, we have implemented two Recursive Variable Expansion (RVE) based techniques, which are proved to give better speedup than any best dataflow approach at the...
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