Lightweight Multi-threaded Architecture for Memory Latency
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Solution Overview
Problem
Current computer architectures face significant performance bottlenecks due to memory latency, as improvements in semiconductor technology have increased CPU processing speed but not memory access speed, leading to inefficiencies in concurrent instruction execution and thread management.
Innovation Solution
The introduction of a lightweight multi-threaded architecture (LIMA) that enhances memory semantics, integrates thread state with memory access, and reduces thread state requirements, allowing for increased concurrency and lower latency through extended memory states and instructions that manage thread operations efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If deep pipelining and superscalar execution are employed to increase instruction level parallelism, then the number of instructions executed per cycle increases, but the complexity of CPU logic and thread state management increases significantly
Solution Approach 1:
The patent segments the CPU into multiple independent cores, each capable of executing instructions independently. This segmentation allows parallel execution of multiple instruction streams without requiring complex inter-core state management, as each core maintains its own simple execution pipeline and register state.
Solution Approach 2:
The patent extracts thread state management from the traditional CPU core and relocates it to external memory structures. Thread contexts are stored in memory rather than being tightly coupled to the execution unit, allowing the CPU to switch between thread states without complex internal state tracking mechanisms.
2Quantity of substance
If memory capacity is increased to accommodate more data, then storage capability improves, but memory access latency increases due to the memory wall
Solution Approach 1:
The patent introduces a hierarchical memory architecture that adds temporal and spatial dimensions to memory access. Multiple levels of caching and pre-fetching mechanisms operate in parallel, allowing the system to hide latency by accessing data from faster memory levels while simultaneously preparing data from slower but larger capacity storage.
Solution Approach 2:
The patent implements pre-fetching mechanisms that proactively load data into cache memory before it is actually needed by the execution unit. This preliminary action reduces effective access latency by ensuring that required data is already in fast memory when the instruction reaches the execution stage.
3Productivity
If traditional multi-threaded architectures are used to improve concurrency, then thread execution capability increases, but overhead from thread state management and synchronization increases
Solution Approach 1:
The patent implements lightweight thread contexts that can be quickly created and discarded. Instead of maintaining complex persistent thread states, the system uses simple stack-based frames that can be rapidly allocated and freed, reducing the overhead of thread management while maintaining high concurrency capability.
Solution Approach 2:
The patent enables threads to manage their own state information through self-service mechanisms. Each thread maintains its own control stack and state information, eliminating the need for centralized thread management logic and reducing the overhead of context switching and synchronization.
Data Source
AI summary
Embodiments of the present invention provide a class of computer architectures generally referred to as lightweight multi-threaded architectures (LIMA). Other embodiments may be described and claimed.