Parallel Memory Partitioning for Data Transfer Bottlenecks

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Solution Overview

Problem

Existing computing systems face challenges in optimizing data transfers between parallel processing processors and external memory, particularly in deep neural networks and embedded systems, where limited resources and energy constraints complicate efficient data movement.

Innovation Solution

The proposed computing system partitions the external memory into multiple partitions, mirroring the column arrangement of the parallel processing processor's memories. This allows for simultaneous data transfers across multiple columns via dedicated interface links, increasing transfer rate and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If data transfers are performed sequentially through a single interconnection bus, then the system structure remains simple, but the data transfer rate is limited and becomes a performance bottleneck

Engineering Contradiction:
Improvedata transfer rateVSAvoidmemory access architecture
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The external memory is divided into multiple partitions (e.g., Memory A0, Memory A1, Memory A2, Memory A3) that can be accessed simultaneously by different computing units. This segmentation allows parallel data transfers through dedicated interface links, dramatically increasing the overall data transfer rate without creating a single-point bottleneck

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a column-based organizational dimension where computing units are arranged in columns and each column has dedicated interface links to memory partitions. This dimensional organization enables simultaneous data transfers across multiple columns, transforming the single-bus limitation into a multi-path parallel architecture

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Productivity

If the host processor manages all data transfers, then the system control is centralized and simple, but the host processor becomes a bottleneck and cannot perform other critical tasks

Engineering Contradiction:
Improvesystem throughputVSAvoiddata transfer control mechanism
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Computing units are equipped with direct memory access capabilities through dedicated interface links, allowing them to autonomously transfer data between their local memory (Memory B) and external memory partitions without requiring host processor intervention. This self-service mechanism frees the host processor to focus on coordinate-level tasks while data movement occurs independently at the computing unit level

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces memory access control modules as intermediaries that manage data transfers between computing units and memory partitions. These control modules handle the complexity of coordinated access, arbitration, and synchronization, allowing the host processor to remain simple while enabling sophisticated parallel data transfer operations

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If memory access is centralized through a single interface, then the memory control logic is simple, but the data transfer efficiency is limited by the single access path

Engineering Contradiction:
Improvedata transfer efficiencyVSAvoidmemory interface architecture
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The memory interface is segmented into multiple dedicated interface links, each connecting a column of computing units to specific memory partitions. This segmentation creates multiple independent data pathways that can operate simultaneously, multiplying the effective data transfer efficiency by the number of parallel links

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Each computing unit's interface link serves multiple functions: it acts as a data transfer channel, an address routing path, and a control signal conduit. This multi-functionality allows the same physical interface infrastructure to support complex parallel operations without proportionally increasing hardware complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250138995A1Optimizing data transfers between a parallel processing processor and a memory
Publication Date: 2025.05.01 COMMISSARIAT A LENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
  • US20250138995A1 patent drawing
  • US20250138995A1 patent drawing
  • US20250138995A1 patent drawing

AI summary

Computing system comprising a memory A, a memory access control module, and a parallel processing processor comprising a plurality of computing units each comprising a memory B shared by one or more elementary processors. The computing units are arranged in columns. A partition of the memory A is associated with each column. Connection modules are connected respectively to the partitions of the memory A and to the memories B of the computing units. Within a column, the neighboring connection modules are connected to one another by a dedicated interface link. The memory access control module is adapted to configure the connection modules to execute parallel data transfers in a plurality of columns, each transfer making it possible to exchange data within a column between a partition of the memory A and a memory B of at least one computing unit.