Multi-tile Memory Management via Unified Virtual Allocation
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Solution Overview
Problem
Current graphics processing systems face challenges in efficiently managing memory across multiple tiles in a graphics environment, leading to suboptimal performance and resource utilization, particularly in parallel graphics data processing.
Innovation Solution
A multi-tile memory management mechanism is introduced, which includes resource mirroring and interleaving physical pages across tiles, along with a unified memory management system that supports mirrored allocations and node masking to ensure efficient data replication and access across all participating tiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If memory is managed separately for each tile in parallel graphics processing, then each tile can independently access its local memory, but memory management complexity increases and remote access latency increases
Solution Approach 1:
The patent merges memory management functions across multiple tiles by introducing a unified memory management mechanism that spans tile boundaries. The multi-tile memory management unit consolidates memory allocation, address translation, and coherence management that would otherwise be distributed separately across individual tiles, reducing overall system complexity while maintaining local access efficiency.
Solution Approach 2:
The patent introduces intermediary structures including a multi-tile memory management unit and unified address space that mediate between individual tiles and the memory subsystem. This intermediary layer handles cross-tile memory operations, coherence protocols, and address translation, shielding individual tiles from the complexity of remote memory management while enabling efficient local access patterns.
2Loss of time
If data is replicated across multiple tiles through mirroring, then access latency is reduced for parallel processing, but memory resource utilization decreases
Solution Approach 1:
The patent applies local quality by implementing selective data mirroring where only specific data regions that benefit from parallel access are replicated across tiles. The system identifies workload patterns and memory access characteristics to determine which data should be mirrored locally versus accessed remotely, optimizing the balance between access latency and memory resource utilization on a per-region basis.
Solution Approach 2:
The patent implements partial mirroring rather than complete data replication across all tiles. The multi-tile memory management mechanism selectively replicates only the portions of data that are frequently accessed in parallel by multiple tiles, avoiding unnecessary duplication of data that would consume memory resources without providing performance benefits.
3Productivity
If unified memory management is implemented across multiple tiles, then resource utilization optimizes and latency reduces, but system complexity increases
Solution Approach 1:
The patent segments the unified memory management system into modular functional units including address translation units, coherence management units, and allocation units that can be distributed across the multi-tile architecture. Each segment handles specific memory management tasks independently, reducing the complexity burden on any single tile while collectively providing unified memory management functionality across the system.
Data Source
AI summary
Graphics processors for implementing multi-tile memory management are disclosed. In one embodiment, a graphics processor includes a first graphics device having a local memory, a second graphics device having a local memory, and a graphics driver to provide a single virtual allocation with a common virtual address range to mirror a resource to each local memory of the first and second graphics devices.