Scratchpad Memory Management via Dirty Page Exclusion
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Solution Overview
Problem
In modern data centers, peripheral devices increasingly handle compute and data throughput, leading to inefficient memory management on servers/host systems, where conventional memory management indiscriminately swaps entire memory footprints, including temporary and non-essential data, resulting in resource inefficiencies.
Innovation Solution
Implementing scratchpad memory management techniques that differentiate between regular and scratchpad memory, where scratchpad memory is identified and excluded from swap-in/out sequences, using enhanced page request interfaces and memory management units to mark pages as dirty only when necessary, optimizing resource usage and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional memory management swaps entire memory footprint for dirty pages, then memory access consistency is maintained, but resource efficiency deteriorates due to unnecessary swapping of temporary data
Solution Approach 1:
The patent segments memory into two distinct categories: scratchpad memory and regular memory. This segmentation allows the system to apply different management policies to each type. Scratchpad memory is identified through specific attributes in page requests, enabling the MMU to selectively exclude these pages from dirty marking and swap operations, thereby reducing unnecessary memory swaps while maintaining proper management of regular memory pages.
2Productivity
If scratchpad memory is excluded from dirty marking, then resource efficiency improves by reducing unnecessary swaps, but memory management complexity increases
Solution Approach 1:
The patent applies local quality by implementing different management characteristics for different memory regions. The MMU examines attributes in page requests to determine whether a page belongs to scratchpad memory or regular memory, then applies appropriate management rules locally to each page type. This allows the system to optimize performance for scratchpad memory while maintaining standard management for regular memory, with the complexity localized to the attribute checking logic in the MMU.
Data Source
AI summary
An example computing system includes a memory, a peripheral device configured to send a page request for accessing the memory, the page request indicating whether the page request is for regular memory or scratchpad memory, and a processor having a memory management unit (MMU). The MMU is configured to receive the page request and prevent memory pages from being marked dirty in response to the page request indicating scratchpad memory.