In this paper, we propose PIMA-Logic, as a novel Processing-in-Memory Architecture for highly flexible and efficient Logic computation. Instead of integrating complex logic units in cost-sensitive memory, PIMA-Logic exploits a hardware-friendly approach to implement Boolean logic functions between operands either located in the same row or the same column within entire memory arrays. Furthermore, it can efficiently process more complex logic functions between multiple operands to further reduce the latency and power-hungry data movement. The proposed architecture is developed based on Spin Orbit Torque Magnetic Random Access Memory (SOT-MRAM) array and it can simultaneously work as a non-volatile memory and a reconfigurable in-memory logic....
Exa-scale computing needs to re-examine the existing hardware platform that can support intensive da...
In-Memory computing has drawn many attentions as a promising solution to reduce massive power hungry...
Recent years have witnessed a rapid growth in the amount of generated data, owing to the emergence o...
In this paper, we propose a novel Spin Orbit Torque Magnetic Random Access Memory (SOT-MRAM) array d...
In this paper we propose a Highly Flexible InMemory (HieIM) computing platform using STT MRAM, which...
This paper presents a high-performance and energy efficient processor exploiting a Magnetoresistive-...
In this paper, we propose an energy-efficient reconfigurable platform for in-memory processing based...
In-memory computing has been demonstrated to be an efficient computing infrastructure in the big dat...
High-performance processors and emerging deep learning applications require a tremendous amount of d...
In this article, we propose an In-Memory Flexible Computing platform (IMFlexCom) using a novel Spin ...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
Today’s technology demands compact, portable, fast, and energy-efficient devices. One approach to ma...
This paper presents a new Reconfigurable dualmode In-Memory Processing Architecture based on spin Ha...
The current trend for intensive computational architectures is to adopt massive parallelism, with se...
The need for processing the continuously growing amount of data that is produced every day is promot...
Exa-scale computing needs to re-examine the existing hardware platform that can support intensive da...
In-Memory computing has drawn many attentions as a promising solution to reduce massive power hungry...
Recent years have witnessed a rapid growth in the amount of generated data, owing to the emergence o...
In this paper, we propose a novel Spin Orbit Torque Magnetic Random Access Memory (SOT-MRAM) array d...
In this paper we propose a Highly Flexible InMemory (HieIM) computing platform using STT MRAM, which...
This paper presents a high-performance and energy efficient processor exploiting a Magnetoresistive-...
In this paper, we propose an energy-efficient reconfigurable platform for in-memory processing based...
In-memory computing has been demonstrated to be an efficient computing infrastructure in the big dat...
High-performance processors and emerging deep learning applications require a tremendous amount of d...
In this article, we propose an In-Memory Flexible Computing platform (IMFlexCom) using a novel Spin ...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
Today’s technology demands compact, portable, fast, and energy-efficient devices. One approach to ma...
This paper presents a new Reconfigurable dualmode In-Memory Processing Architecture based on spin Ha...
The current trend for intensive computational architectures is to adopt massive parallelism, with se...
The need for processing the continuously growing amount of data that is produced every day is promot...
Exa-scale computing needs to re-examine the existing hardware platform that can support intensive da...
In-Memory computing has drawn many attentions as a promising solution to reduce massive power hungry...
Recent years have witnessed a rapid growth in the amount of generated data, owing to the emergence o...