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Self-Managing DRAM: A Low-Cost Framework for Enabling Autonomous and Efficient in-DRAM Operations (2207.13358v8)

Published 27 Jul 2022 in cs.AR and cs.CR

Abstract: The memory controller is in charge of managing DRAM maintenance operations (e.g., refresh, RowHammer protection, memory scrubbing) to reliably operate modern DRAM chips. Implementing new maintenance operations often necessitates modifications in the DRAM interface, memory controller, and potentially other system components. Such modifications are only possible with a new DRAM standard, which takes a long time to develop, likely leading to slow progress in the adoption of new architectural techniques in DRAM chips. We propose a new low-cost DRAM architecture, Self-Managing DRAM (SMD), that enables autonomous in-DRAM maintenance operations by transferring the responsibility for controlling maintenance operations from the memory controller to the SMD chip. To enable autonomous maintenance operations, we make a single modification to the DRAM interface, such that an SMD chip rejects memory controller accesses to DRAM regions under maintenance, while allowing memory accesses to others. Thus, SMD enables 1) implementing new in-DRAM maintenance mechanisms (or modifying existing ones) with no further changes in the DRAM interface or other system components, and 2) overlapping the latency of a maintenance operation in one DRAM region with the latency of accessing data in another. We evaluate SMD and show that it 1) can be implemented without adding new pins to the DDRx interface with low latency and area overhead, 2) achieves 4.1% average speedup across 20 four-core memory-intensive workloads over a DDR4-based system/DRAM co-design technique that intelligently parallelizes maintenance operations with memory accesses, and 3) guarantees forward progress for rejected memory accesses. We believe and hope SMD can enable innovations in DRAM architecture to rapidly come to fruition. We open source all SMD source code and data at https://github.com/CMU-SAFARI/SelfManagingDRAM.

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Authors (5)
  1. Hasan Hassan (35 papers)
  2. Ataberk Olgun (47 papers)
  3. Haocong Luo (27 papers)
  4. Onur Mutlu (279 papers)
  5. A. Giray Yaglikci (12 papers)

Summary

Self-Managing DRAM: A Low-Cost Framework for In-DRAM Maintenance Operations

The paper presents a novel DRAM architecture known as Self-Managing DRAM (SMD), which enables autonomous in-DRAM maintenance operations to mitigate the complexities inherent in scaling DRAM reliability and security. The traditional DRAM design, heavily reliant on the memory controller (MC) for maintenance tasks, faces significant challenges when incorporating new operations, as these often require substantial interface and controller modifications aligned with new DRAM standards. SMD addresses this by transferring the responsibility of maintenance operations from the MC to the DRAM chip itself.

SMD introduces a streamlined mechanism that requires only a singular modification to the DRAM interface. Through this modification, an SMD chip can autonomously execute maintenance operations, accept or reject MC access to DRAM regions under maintenance, and concurrently engage in accessing other regions. The decoupling of maintenance operations from the memory controller allows for more rapid implementation of novel maintenance mechanisms due to the obviation of interface redesigns and regulatory standard changes.

The efficacy of the SMD architecture is validated through several key findings:

  • Low Overhead: The SMD implementation incurs minimal area and latency overheads, specifically 1.6% of a DRAM chip's area and 0.4% of row activation latency, facilitating its adoption in existing DDRx environments without disrupting the physical DRAM interface.
  • Performance Improvements: Experiments demonstrate that SMD yields an average performance gain of 4.1% over systems employing sophisticated DRAM/MC co-design techniques by efficiently overlapping maintenance operations with memory accesses.
  • Energy Efficiency: SMD reduces DRAM energy consumption by 4.3% due to decreased DRAM command issuance and reduced execution time.

From a broader perspective, SMD represents a versatile and forward-looking architectural advancement, especially in the context of evolving DRAM challenges. It offers profound implications for both practical deployment in data-intensive environments, such as cloud computing systems, and theoretical explorations into more resilient DRAM systems. Given DRAM's increasing vulnerability concerns and evolving architectural requirements, SMD could act as a catalyst for further research and development of sophisticated in-DRAM mechanisms that prioritize efficiency and security without exacerbating system complexity.

Moreover, the paper elucidates the specific maintenance use cases implemented within the SMD framework—namely, DRAM refresh, RowHammer protection, and memory scrubbing. These use cases offer insights into the adaptability of SMD to current and emerging DRAM challenges, highlighting its capacity to sustain future DRAM scaling effectively.

The researchers provide comprehensive execution and energy evaluations across a range of workloads, emphasizing SMD's practical benefits. Future research might explore optimizing the balance between maintenance and access operations further, refining the locking mechanism, and exploring additional in-DRAM processing capabilities within the SMD framework.

In summary, the paper propounds a viable path toward alleviating the complex interplay between DRAM maintenance tasks and the system architecture through SMD, offering a pragmatic solution with significant performance and energy efficiency advantages.

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