Content-Addressable Processing Engine for PIM Speedup
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing processing-in-memory (PIM) architectures face challenges in overcoming the von Neumann bottleneck and require expensive memory technologies or restrictive programming languages to leverage content-addressable memories for parallel processing.
Innovation Solution
A CMOS-based content-addressable processing engine (CAPE) that integrates computation and storage, utilizing dense 6T SRAM arrays and a general-purpose microarchitecture to perform associative computing with standard RISC-V instructions, enabling efficient vector operations and high programmability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content-addressable memories are used for parallel processing, then processing speed is improved, but manufacturing cost increases due to expensive memory technology requirements
Solution Approach 1:
The patent changes the fundamental parameter of memory technology from emerging/expensive types to standard CMOS SRAM, enabling content-addressable parallel processing at conventional manufacturing costs while maintaining high processing speeds through architectural optimization
Solution Approach 2:
The invention replaces expensive, specialized memory technology with inexpensive, widely-manufacturable CMOS SRAM cells, making the system economically viable for mass production while achieving comparable or superior performance through clever use of standard components
2Productivity
If content-addressable memories are used for parallel processing, then processing speed is improved, but programming complexity increases due to restrictive programming language requirements
Solution Approach 1:
The patent makes the content-addressable processing engine universally programmable using standard RISC-V instruction sets, allowing the same hardware to handle both traditional sequential operations and parallel vector operations without requiring specialized programming languages or compilers
Solution Approach 2:
Instead of requiring specialized programming languages to access parallel processing capabilities, the invention inverts the approach by making standard RISC-V instructions capable of triggering parallel execution, thus simplifying the programming model while maintaining high productivity
3Productivity
If computation and storage logic are combined into a single component, then data access efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the processing engine into distinct functional units (control logic, compute units, storage arrays) that can operate independently yet cooperatively, managing complexity through modular design while achieving efficient data access by keeping computation and storage in close proximity
Solution Approach 2:
The invention merges computation and storage logic into a unified content-addressable processing engine where SRAM arrays serve both as storage and as the basis for computational operations, eliminating the von Neumann bottleneck while managing complexity through shared hardware resources
Data Source
AI summary
A content-addressable processing engine, also referred to herein as CAPE, is provided. Processing-in-memory (PIM) architectures attempt to overcome the von Neumann bottleneck by combining computation and storage logic into a single component. CAPE provides a general-purpose PIM microarchitecture that provides acceleration of vector operations while being programmable with standard reduced instruction set computing (RISC) instructions, such as RISC-V instructions with standard vector extensions. CAPE can be implemented as a standalone core that specializes in associative computing, and that can be integrated in a tiled multicore chip alongside other types of compute engines. Certain embodiments of CAPE achieve average speedups of 14× (up to 254×) over an area-equivalent out-of-order processor core tile with three levels of caches across a diverse set of representative applications.