In recent years, we are witnessing a trend moving away from conventional computer architectures towards Computation-In-Memory (CIM) based on emerging memristor devices. This is due to the fact that the performance and energy efficiency of traditional computer architectures can no longer be increased at the same pace as before. The main barriers which limit the performance and energy improvement are the memory and power walls. Thus far, the main effort from researchers is toward enabling CIM as an accelerator for specific applications. Consequently, this current application-specific nature/approach has put less emphasis on the potential general-purpose applicability of CIM, i.e., merging several accelerators into one that is less than the su...
CMOS technology and its continuous scaling have made electronics and computers accessible and afford...
Processors based on the von Neumann architecture show inefficient performance on many emerging data-...
Processors based on the von Neumann architecture show inefficient performance on many emerging data-...
Conventional computing architectures and the CMOS technology that they are based on are facing major...
Emerging computing applications (such as big-data and Internet-of-things) are extremely demanding in...
Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementa...
Today's computing architectures and device technologies are unable to meet the increasingly stringen...
Today's computing architectures and device technologies are incapable of meeting the increasingly st...
The memory-wall problem is a big challenge that classical Von Neumann-based computer systems face. T...
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory ...
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), which per...
One of the most important constraints of today’s architectures for data-intensive applications is th...
Memristive devices are promising candidates as a complement to CMOS devices. These devices come with...
In recent years, we are witnessing a trend toward in-memory computing for future generations of comp...
\u3cp\u3eComputation-in-memory reverses the trend in von-Neumann processors by bringing the computat...
CMOS technology and its continuous scaling have made electronics and computers accessible and afford...
Processors based on the von Neumann architecture show inefficient performance on many emerging data-...
Processors based on the von Neumann architecture show inefficient performance on many emerging data-...
Conventional computing architectures and the CMOS technology that they are based on are facing major...
Emerging computing applications (such as big-data and Internet-of-things) are extremely demanding in...
Computation-In-Memory (CIM) using memristor devices provides an energy-efficient hardware implementa...
Today's computing architectures and device technologies are unable to meet the increasingly stringen...
Today's computing architectures and device technologies are incapable of meeting the increasingly st...
The memory-wall problem is a big challenge that classical Von Neumann-based computer systems face. T...
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory ...
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), which per...
One of the most important constraints of today’s architectures for data-intensive applications is th...
Memristive devices are promising candidates as a complement to CMOS devices. These devices come with...
In recent years, we are witnessing a trend toward in-memory computing for future generations of comp...
\u3cp\u3eComputation-in-memory reverses the trend in von-Neumann processors by bringing the computat...
CMOS technology and its continuous scaling have made electronics and computers accessible and afford...
Processors based on the von Neumann architecture show inefficient performance on many emerging data-...
Processors based on the von Neumann architecture show inefficient performance on many emerging data-...