In this chapter, we will introduce various ReRAM-based PIM designs covering from unit cells, circuit techniques, and architectures. Besides MAC, other essential logic-in-memory functions will also be discussed.Kim, Tony Tae-HyoungNanyang Technological UniversityLu, LuNanyang Technological UniversityChen, YuzongNanyang Technological University
ME is a memory and computation consuming process which accounts for more than 50% of the total running time of HEVC. To conquer the memory and computation challenges, this paper presents ReME, a highly paralleled processing-in-memory (PIM) architecture for the ME process based on resistive ...
如下图所示,比较了传统DLA、processing in memory(PIM)和PRINME的区别,传统的DLA和PIM结构都需要额外的processing units (PU),而PRIME不需要。PRIME被设计为三个不同区域的bank,分别代表memory (Mem) subarrays, full function(FF) subarrays, and Buffer subarrays,Mem subarrays只存储数据,FF subarrays既可以做...
RAPIDx: High-Performance ReRAM Processing In-Memory Accelerator for Sequence Alignment for IEEE TCADIS by Weihong Xu et al.
Resistive Random-Access Memory (ReRAM) based Processing-in-Memory (PIM) frameworks are proposed to accelerate the working process of DNN models by eliminating the data movement between the computing and memory units. To further mitigate the space and energy consumption, DNN model weight sparsity ...
based processing-in-memory(PIM)can resolve this problem by processing embedding vectors where they are stored.However,the embedding table can easily exceed the capacity limit of a monolithic ReRAM-based PIM chip,which induces off-chip accesses that may offset the PIM profits.Therefore,we deploy ...
However, graph processing on traditional architectures issues many random and irregular memory accesses, leading to a huge number of data movements and the consumption of very large amounts of energy. To minimize the waste of memory bandwidth, we investigate utilizing processing-in-memory (PIM), ...
In this article, we propose a ReRAM-based accelerator, RAPIDx, using processing in-memory (PIM) for sequence alignment. RAPIDx achieves superior efficiency and performance via software鈥揾ardware co-design. First, we propose an adaptive banded parallelism alignment algorithm suitable for PIM ...
This paper presents an algorithmic approach to design reliable ReRAM based Processing-in-Memory (PIM) architecture for Deep Neural Network (DNN) acceleration under intrinsic stochastic behavior of ReRAM devices. We employ the dynamical fixed point (DFP) data representation format to adaptively change ...
ME is a memory and computationally intensive process which consumes more than 50% of the total running time of HEVC. To remedy the memory and computation challenges, in this paper, we present ReME, a highly paralleled Processing-In-Memory accelerator for ME based on ReRAM. In ReME, the ...