Memory Device Microbumps for Machine Learning Data Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional memory sub-systems face challenges in transmitting data for machine learning operations due to limited bandwidth and speed, resulting in significant delays caused by the limited number of input/output (I/O) pins.
Innovation Solution
The use of microbumps on memory devices to transmit data, allowing for a larger number of interconnects than I/O pins, enabling faster and more efficient data transfer between memory devices and machine learning processors, with the ability to selectively adjust the number and location of microbumps based on operation conditions to improve signal integrity and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional I/O pins are used for data transmission, then device complexity is reduced, but data transfer rate and bandwidth are limited
Solution Approach 1:
The patent segments the data transmission interface into multiple microbumps instead of using a single I/O pin structure. Each microbump acts as an independent interconnect, allowing parallel data transmission channels. This segmentation enables the memory device to achieve higher bandwidth by utilizing multiple simultaneous connections between the memory die and the package substrate, directly resolving the bandwidth limitation of conventional I/O pins.
Solution Approach 2:
The patent transitions from a two-dimensional I/O pin arrangement to a three-dimensional microbump array configuration. By vertically positioning multiple microbumps on the die surface and establishing corresponding connections through the package substrate, the system creates additional transmission dimensions. This spatial reconfiguration enables significantly higher data transfer rates without proportionally increasing device complexity.
2Quantity of substance
If more I/O pins are used to increase bandwidth, then data transfer capacity improves, but manufacturing complexity and cost increase
Solution Approach 1:
The patent uses multiple identical microbump structures that are replicated across the die surface. Each microbump follows the same standardized design and connection protocol, allowing for modular manufacturing. This copying approach enables scaling of data transmission capacity by simply adding more identical units rather than designing increasingly complex custom interconnect structures, thereby maintaining ease of manufacture while increasing bandwidth.
3Reliability
If microbumps are selectively adjusted based on operation conditions, then signal integrity improves, but control complexity increases
Solution Approach 1:
The patent implements dynamic selection of microbump groups based on operational requirements. Different sets of microbumps can be activated or deactivated depending on data transfer patterns, signal quality requirements, and thermal conditions. This dynamic configuration allows the system to optimize signal integrity by selecting the most appropriate microbump subsets for each operation, while the control mechanism remains manageable through standardized selection logic.
Data Source
AI summary
A system includes a memory device to maintain data for a machine learning operation. The memory device includes solder balls. The system further includes a machine learning processing device to perform the machine learning operation. The system further includes a processing device to select, based on the machine learning operation, a set of solder balls from the plurality of solder balls to transmit the data from the non-volatile memory device to the machine learning processing device.