The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework
Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo F. Oliveira, Jonathan Appavoo, Vivek Seshadri, Onur Mutlu
摘要
Computers continue to diversify with respect to system designs, emerging memory technologies, and application memory demands. Unfortunately, continually adapting the conventional virtual memory framework to each possible system configuration is challenging, and often results in performance loss or requires non-trivial workarounds.
To address these challenges, we propose a new virtual memory framework, the Virtual Block Interface (VBI). We design VBI based on the key idea that delegating memory management duties to hardware can reduce the overheads and software complexity associated with virtual memory. VBI introduces a set of variable-sized virtual blocks (VBs) to applications. Each VB is a contiguous region of the globally-visible VBI address space, and an application can allocate each semantically meaningful unit of information (e.g., a data structure) in a separate VB. VBI decouples access protection from memory allocation and address translation. While the OS controls which programs have access to which VBs, dedicated hardware in the memory controller manages the physical memory allocation and address translation of the VBs. This approach enables several architectural optimizations to ( 1) efficiently and flexibly cater to different and increasingly diverse system configurations, and (2) eliminate key inefficiencies of conventional virtual memory.
We demonstrate the benefits of VBI with two important use cases: (1) reducing the overheads of address translation (for both native execution and virtual machine environments), as VBI reduces the number of translation requests and associated memory accesses; and (2) two heterogeneous main memory architectures, where VBI increases the effectiveness of managing fast memory regions. For both cases, VBI significantly improves performance over conventional virtual memory.
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引用它的顶会 Paper9
- CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-OffHaocong Luo, Taha Shahroodi, Hasan Hassan, Minesh Patel 等ISCA 2020 · 被引用 64 次
- Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache ResourcesKonstantinos Kanellopoulos, Hong Chul Nam, Nisa Bostanci, Rahul Bera 等MICRO 2023 · 被引用 16 次
- Parallel virtualized memory translation with nested elastic cuckoo page tablesJovan Stojkovic, Dimitrios Skarlatos, Apostolos Kokolis, Tianyin Xu 等ASPLOS 2022 · 被引用 15 次
- Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address MappingsKonstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, F. Nisa Bostanci 等MICRO 2023 · 被引用 15 次
- Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation MethodologyKonstantinos Kanellopoulos, Konstantinos Sgouras, F. Nisa Bostanci, Andreas Kosmas Kakolyris 等ASPLOS 2025 · 被引用 8 次
它引用的顶会 Paper3
- CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-OffHaocong Luo, Taha Shahroodi, Hasan Hassan, Minesh Patel 等ISCA 2020 · 被引用 64 次
- Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory MachinesReto Achermann, Ashish Panwar, Abhishek Bhattacharjee, Timothy Roscoe 等ASPLOS 2020 · 被引用 62 次
- Elastic Cuckoo Page Tables: Rethinking Virtual Memory Translation for ParallelismDimitrios Skarlatos, Apostolos Kokolis, Tianyin Xu, Josep TorrellasASPLOS 2020 · 被引用 55 次
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