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...
本书结构化地介绍了支持存内/迳存计算的关键概念和技术。 几十年来,存内计算或迳存计算因其打破存储墙的潜力而引起了越来越多的兴趣。迳存计算将计算逻辑移动到内存附迳,从而减少了数据移动。 迳期的工作还表明,某些存储器可以通过利用存储单元的物理特性将自身转变为计算单元,从而在存储阵列中实现原位计算。虽然...
Despite millions of years of evolution, the fundamental wiring principle of biological brains has been preserved: dense local and sparse global connectivity through synapses between neurons. This persistence indicates the efficiency of this solution in optimizing both computation and the utilization of the...
In-Memory Computation (IMC) is an emerge architecture for recent AI deep learning filed. Different from traditional computing, IMC could process data in parallel and shorter processing time. In AI neural network system, the weighting is calculated by resistance changing of memory. The key factor ...
A method for accelerating a convolution of a kernel matrix over an input matrix for computation of an output matrix using in-memory computation involves storing in different sets of cells, in an array of cells, respective combinations of elements of the kernel matrix or of multiple kernel ...
The feature of data grids that distinguishes them from distributed caches was their ability to support co-location of computations with data in a distributed context and consequently provided the ability to move computation to data. This capability was the key innovation that addressed the demands of...
In HW-NAS, it is important to define a search space, select an appropriate problem formulation technique, and consider the trade-off between performance, search speed, computation demands and scalability when selecting a search strategy and a hardware evaluation technique. ...
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...
Mutlu O, Ghose S, Gómez-Luna J, et al. Processing data where it makes sense: enabling in-memory computation. Microprocessors MicroSyst, 2019, 67: 28–41 ArticleGoogle Scholar Alpern B, Carter L, Feig E, et al. The uniform memory hierarchy model of computation. Algorithmica, 1994, 12: ...
(In-Memory Computing)，这是未来高效计算的趋势吗？CPU集成cache.否 RAM集成ALU.是 ...