Patent
Method for Handling Logical Operation in Memory Device
Abstract
The patent describes a method for fabricating a three-terminal resistive random-access memory (3T-RRAM) device. This device aims to improve in-memory computing by integrating logical operations within the memory, addressing the von Neumann bottleneck, which limits conventional computing performance due to data transfer inefficiencies between the processor and memory.
Type of IP
Faculty
Category of Patent
Department
Societal Impact
- Enhances the performance and efficiency of AI and data-intensive applications, potentially accelerating advancements in these fields.
- Reduces energy consumption in data centers, contributing to greener technology solutions.
- Improves the capabilities of consumer electronics and IoT devices, leading to better user experiences and more advanced functionalities.
Salient technical features and Advantages of the Technology
- Three contacts that serve as both input and output terminals.
- Fabrication involves multiple layers, including silicon, silicon dioxide, titanium, platinum, zirconium dioxide, and PCMO.
- Single write cycle for logical operations with voltage input and resistance output.
- Reduces communication overhead between processor and memory.
- Increases energy efficiency and reduces latency in data-intensive tasks.
- Simplifies device architecture by reducing the number of required components and operations.
Technology readiness level
4
Current Status of Technology
The functionality of handling logic operation in a 3-terminal memory device has been demonstrated. The logic operation requires a single input and a single compute cycle. The optimization of the material composition of the memory device for low-power in-memory computing is ongoing.
Relevant Industries
- Artificial Intelligence (AI)
- Data centers and cloud computing
- High-performance computing (HPC)
- Consumer electronics
- IoT (Internet of Things) devices
Applications or Domain
- AI and machine learning tasks
- Data storage and processing in data centers
- Real-time data analytics
- Embedded systems in consumer electronics
- IoT devices requiring efficient data processing and storage