Data movement between processing and memory is the root cause of the limited performance and energy efficiency in modern von Neumann systems. To overcome the data-movement bottleneck, we present the memristive Memory Processing Unit (mMPU)—a real processing-in-memory system in which the computation is done directly in the memory cells, thus eliminating the necessity for data transfer. Furthermore, with its enormous inner parallelism, this system is ideal for data-intensive applications that are based on single instruction, multiple data (SIMD)—providing high throughput and energy-efficiency
Von Neumann-based architectures suffer from costly communication between CPU and memory. This commun...
International audienceIn-memory computing (IMC) aims to solve the performance gap between CPU and me...
Memristive crossbar arrays can be used to realize () operations in constant time complexity by explo...
Memristive technologies are attractive candidates to replace conventional memory technologies and ca...
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory ...
Conventional Von Neumann machines inherently separate the processing units from the memory units. Th...
Developing energy-efficient parallel information processing systems beyond von Neumann architecture ...
Memory accesses are the bottleneck of modern computer systems both in terms of performance and energ...
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), which per...
One of the most critical challenges for today's and future data-intensive and big-data problems is d...
Today's computing architectures and device technologies are unable to meet the increasingly stringen...
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...
Abstract—We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspire...
Von Neumann-based architectures suffer from costly communication between CPU and memory. This commun...
International audienceIn-memory computing (IMC) aims to solve the performance gap between CPU and me...
Memristive crossbar arrays can be used to realize () operations in constant time complexity by explo...
Memristive technologies are attractive candidates to replace conventional memory technologies and ca...
In-memory computing is a promising computing paradigm due to its capability to alleviate the memory ...
Conventional Von Neumann machines inherently separate the processing units from the memory units. Th...
Developing energy-efficient parallel information processing systems beyond von Neumann architecture ...
Memory accesses are the bottleneck of modern computer systems both in terms of performance and energ...
This paper briefly discusses a new architecture, Computation-In-Memory (CIM Architecture), which per...
One of the most critical challenges for today's and future data-intensive and big-data problems is d...
Today's computing architectures and device technologies are unable to meet the increasingly stringen...
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...
Abstract—We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspire...
Von Neumann-based architectures suffer from costly communication between CPU and memory. This commun...
International audienceIn-memory computing (IMC) aims to solve the performance gap between CPU and me...
Memristive crossbar arrays can be used to realize () operations in constant time complexity by explo...