Zobrazeno 1 - 6
of 6
pro vyhledávání: '"YOUGUANG ZHANG"'
Publikováno v:
ACM Great Lakes Symposium on VLSI
In the post-Moore era, in order to solve the problem of von Neumann bottleneck and memory wall caused by separation of memory and processor, in-memory-processing (IMP) technique has aroused great attention. Novel non-volatile memory (NVM) based on sp
Publikováno v:
ACM Great Lakes Symposium on VLSI
Utilizing emerging nonvolatile memories to accelerate deep neural network (DNN) has been considered as one of the promising approaches to solve the bottleneck of data transfer during the multiplication and accumulation (MAC). Among them, spintronic m
Publikováno v:
ACM Great Lakes Symposium on VLSI
A Skyrmion Racetrack Memory (SRM) based Computing In-Memory Architecture (SRM-CIM) was proposed in this paper. Both data and computing operation can be achieved in SRM-CIM. SRM-CIM is used to support convolutional computing in Binary Convolutional Ne
Publikováno v:
NANOARCH
In-Memory Computation (IMC), which is capable of reducing the power consumption and bandwidth requirement resulting from the data transfer between the processing and memory units, has been considered as a promising technology to break the von-Neumann
Publikováno v:
ACM Great Lakes Symposium on VLSI
Until now, spin transfer torque magnetic random access memory (STT-MRAM) has drawn considerable R&D interest worldwide. A number of companies and universities are currently involved in this promising technology. In 2016, Everspin released the first 2
Publikováno v:
DAC
STT-MRAM has been considered as one of the most promising nonvolatile memory candidates in the next-generation of computer architecture. However, the read reliability and dynamic write power concerns greatly hinder its practical application. In this