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Today’s computer architectures suffer from many challenges, such as the near end of CMOS downscaling, the memory/communication bottleneck, the power wall, and the programming complexity. As a consequence, these architectures become inefficient in solving big data problems or general data intensive applications. Computation-in-memory (CIM) is a novel architecture that tries to solve/alleviate the impact...
As today's CMOS technology is scaling down to its physical limits, it suffers from major challenges such as increased leakage power and reduced reliability. Novel technologies, such as memristors, nanotube, and graphene transistors, are under research as alternatives. Among these technologies, memristor is a promising candidate due to its great scalability, high integration density and near-zero standby...
The memristor is an emerging technology which is triggering intense interdisciplinary activity. It has the potential of providing many benefits, such as energy efficiency, density, reconfigurability, nonvolatile memory, novel computational structures and approaches, massive parallelism, etc. These characteristics may lead to deeply revise existing computing and storage paradigms. This paper presents...
Many emerging technologies are under investigation to realize alternatives for future scalable electronics. Memristor is one of the most promising candidates due to memrsitor's non-volatility, high integration density, near-zero standby power consumption, etc. Memristors have been recently utilized in non-volatile memory, neuromorphic system, resistive computing architecture, and FPGA to name but...
Emerging technologies are under research as alternatives for next-generation VLSI circuits. One of the promising candidates is memristor due to its scalability, high integration density, non-volatility, etc. Different design styles of memristor-based logic circuits have been proposed. This paper first overviews these design styles and compares them using several criteria. Subsequently, it selects...
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), for specific data-intensive applications; it is based on the integration of storage and computation in the same physical location (crossbar topology) and the use of non-volatile resistive-switching technology (memristive devices or memristors in short) instead of CMOS technology. The architecture has the potential...
As the CMOS technology is gradually scaling down to inherent physical device limits, significant challenges emerge related to scalability, leakage, reliability, etc. Alternative technologies are under research for next-generation VLSI circuits. Memristor is one of the promising candidates due to its scalability, practically zero leakage, non-volatility, etc. This paper proposes a novel design methodology...
Today's computing systems suffer from memory/communication bottleneck, resulting in energy and performance inefficiency. This makes them incapable to solve dataintensive applications within economically acceptable limits. Computation-In-Memory (CIM) architecture, based on the integration of storage and computation in the same physical location using non-volatile memristor technology offers a potential...
As the down-scaling of CMOS technology reaches inherent physical device limits, major challenges arise such as reliability, power consumption, etc. Novel technologies are under investigation as an alternative for next-generation VLSI circuits. Memristor is one of the promising candidates due to its scalability, non-volatility, practically zero leakage, high integration density, etc. Several applications...
One of the most critical challenges for today's and future data-intensive and big-data problems is data storage and analysis. This paper first highlights some challenges of the new born Big Data paradigm and shows that the increase of the data size has already surpassed the capabilities of today's computation architectures suffering from the limited bandwidth, programmability overhead, energy inefficiency,...
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