Memory Indirection for Latency Reduction in Data Centers
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Solution Overview
Problem
Memory operations in computing data centers are latency-bound and suffer from heavy serialization due to dependencies in memory request flows, hindering performance in scaled-out architectures like databases that rely on pointer resolutions and prefetching.
Innovation Solution
Implementing memory indirection operations that allow processing cores to issue requests with addresses and offsets, enabling multiple iterations to determine actual memory locations for read/write operations, thereby reducing latency and serialization by allowing subsequent processing steps to proceed independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional memory operations are used with sequential processing, then correctness is maintained, but latency increases and productivity decreases
Solution Approach 1:
The system performs preliminary actions by issuing multiple memory requests with different offsets before the base address is fully resolved. The memory controller pre-processes these requests by calculating actual addresses using the formula: actual_address = base_address + offset, allowing subsequent processing steps to proceed independently without waiting for sequential address resolution.
Solution Approach 2:
The memory request flow is segmented into independent parallel streams, where multiple requests with different offsets are processed simultaneously. Each request is treated as an independent unit that can be processed in parallel by the memory controller, breaking the serialization bottleneck in traditional sequential processing.
2Speed
If memory requests are processed sequentially to maintain correctness, then reliability is maintained, but speed decreases
Solution Approach 1:
The memory controller implements feedback mechanisms to track the resolution status of base addresses and ensure correctness. The system monitors address resolution states and dynamically adjusts processing, ensuring that memory operations are performed with correct addresses while maintaining high throughput through parallel processing of independent requests.
Data Source
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AI summary
Various embodiments are generally directed to an apparatus, method and other techniques to receive a request from a core, the request associated with a memory operation to read or write data, and the request comprising a first address and an offset, the first address to identify a memory location of a memory. Embodiments include performing a first iteration of a memory indirection operation comprising reading the memory at the memory location to determine a second address based on the first address, and determining a memory resource based on the second address and the offset, the memory resource to perform the memory operation for the computing resource or perform a second iteration of the memory indirection operation.