Interfacing Bar Architecture for Scalable Logic-Memory Systems
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Solution Overview
Problem
Scalable systems face challenges in independently scaling logic and memory while maintaining cost-effectiveness, as increasing one parameter often results in tradeoffs with other parameters such as bandwidth, power, and latency, particularly in DRAM-based systems.
Innovation Solution
The use of interfacing bars to couple adjacent chips, enabling increased chip-to-chip connection periphery and bandwidth with mitigated latency, and allowing for modular scaling of logic and memory by utilizing communication and memory bars that support various technologies like LPDDR, DDR, and HBM, and incorporating active silicon and optical interconnects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If DRAM bandwidth is increased, then memory performance is improved, but other parameters such as power consumption and latency are penalized
Solution Approach 1:
The system segments memory into multiple independent memory bars that can be selectively activated. Each memory bar operates independently with its own interface to the logic chip, allowing the system to activate only the number of memory bars needed for the current workload, thus achieving high bandwidth when needed while conserving power when full bandwidth is not required.
Solution Approach 2:
The memory system dynamically adjusts the number of active memory bars based on system requirements. The logic chip can selectively enable or disable individual memory bars through control signals, allowing the bandwidth and power consumption to be dynamically tuned to match the actual computational needs of the system.
2Quantity of substance
If memory capacity is increased, then system storage is improved, but device complexity and cost increase
Solution Approach 1:
Memory capacity is increased by adding more memory bars rather than enlarging individual memory chips. Each memory bar is a standardized module with fixed capacity, and the system achieves higher total capacity by simply adding more of these standardized modules. This approach maintains low complexity because each module uses the same interface and control logic.
Solution Approach 2:
The memory bar interface is designed to be universal and standardized, allowing the same interface circuitry to work with any number of memory bars. This multi-functional interface can handle different memory types (LPDDR, DDR, HBM) and capacities through the same basic architecture, reducing the complexity that would otherwise arise from custom interfaces for each memory configuration.
3Adaptability or versatility
If logic and memory are scaled independently, then system flexibility is improved, but interface complexity and overhead increase
Solution Approach 1:
The system separates logic and memory into independently scalable components connected through standardized interfaces. Logic chips and memory bars can be scaled independently in number and capacity while maintaining the same interface protocol. The interface complexity is managed by using identical standardized connection protocols for all memory bars, regardless of how many are present or what their individual capacities are.
Solution Approach 2:
The interface is designed to handle a maximum number of memory bars beyond what any single application might need. This excessive capability allows the interface to work with any smaller configuration without requiring redesign, thereby reducing interface complexity for partial configurations while maintaining the ability to scale to larger configurations when needed.
Data Source
AI summary
Multi-chip systems and structures for modular scaling are described. In some embodiments an interfacing bar is utilized to couple adjacent chips. For example, a communication bar may utilized to coupled logic chips, and memory bar may be utilized to couple multiple memory chips to a logic chip.