硬件架构不能指望计算量一大，就扩展CPU，存储量一大，就用内存堆砌的方式；这是一种对过去架构的严重依赖，并且这种方式非常不适合AI。当容量大到一定程度，只能说明某些技术需要革新。没想到六年前就有人提出了存内计算的问题，六年以来存内计算正在飞速发展中。放出一个小小的针对基于SRAM的存内计算的review。
低延迟高带宽的存储部件如cache做不了很大容量，大容量的存储器做不到极低的延迟和极高的带宽。这件事...
memory computing, but also in-memory routing (Fig.1f). Though the Mosaic architecture is independent of the choice of memory technology, here we are taking advantage of the resistive memory, for its non-volatility, small footprint, low access time and power, and fast programming29. Neighborhood...
In-memory computing (IMC) is an emerging non-von Neumann computational paradigm that keeps alive the promise of achieving energy efficiencies on the order of one femtoJoule per operation in a computing system. The key idea is to perform certain computational tasks in place in memory, thereby obv...
A memory unit comprising one or more global bitlines A(B) and one or more global bitline drivers 20 comprising one or more bit cells BC1/BC2 storing first, second data values (VA1,VA2). A (local) sense circuit SC1 is connected to the cell(s) whilst a charge storage and delivery ...
Meeting these requirements demands huge amounts of on-chip memory and intensive computation of the multiple layers. Unique techniques in memory design are being developed to remove latencies, remove the size of coefficients and remove the amount of data that must be moved around the SoC. ...
2.1.2 IN MEMORY COMPUTING 存内计算是一种新的以内存为中心的计算范式,它继承了PIM和迳存计算的精神。迳存计算实现了独立于内存结构的逻辑电路,而存内计算则密切涉及内存单元、内存阵列和计算中的外围电路。 通常需要对它们进行结构修改或额外的特殊电路来支持计算。 从历史上看,存内计算被认为是一种经济上不可行...
Modern computers are based on the von Neumann architecture in which computation and storage are physically separated: data are fetched from the memory unit, shuttled to the processing unit (where computation takes place) and then shuttled back to the memory unit to be stored. The rate at which...
1. Concept of mixed-precision in-memory computing. a, Possible architecture of a mixed-precision in-memory computing system. The high-precision processing unit (left) performs digital logic computation and is based on the standard von Neumann computing architecture. The low-precision computational ...
1 It primarily achieves this by caching data required for computation in the memory of the nodes in the cluster. In-memory cluster computation enables Spark to run iterative algorithms, as programs can checkpoint data and refer back to it without reloading it from disk; in addition, it ...