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arXiv · 2305.07768

Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses

Rakesh Nadig·Mohammad Sadrosadati·Haiyu Mao·Nika Mansouri Ghiasi·Arash Tavakkol·Jisung Park·Hamid Sarbazi-Azad·Juan Gómez Luna·Onur Mutlu
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Abstract

The performance and capacity of solid-state drives (SSDs) are continuously improving to meet the increasing demands of modern data-intensive applications. Unfortunately, communication between the SSD controller and memory chips (e.g., 2D/3D NAND flash chips) is a critical performance bottleneck for many applications. SSDs use a multi-channel shared bus architecture where multiple memory chips connected to the same channel communicate to the SSD controller with only one path. As a result, path conflicts often occur during the servicing of multiple I/O requests, which significantly limits SSD parallelism. It is critical to handle path conflicts well to improve SSD parallelism and performance. Our goal is to fundamentally tackle the path conflict problem by increasing the number of paths between the SSD controller and memory chips at low cost. To this end, we build on the idea of using an interconnection network to increase the path diversity between the SSD controller and memory chips. We propose Venice, a new mechanism that introduces a low-cost interconnection network between the SSD controller and memory chips and utilizes the path diversity to intelligently resolve path conflicts. Venice employs three key techniques: 1) a simple router chip added next to each memory chip without modifying the memory chip design, 2) a path reservation technique that reserves a path from the SSD controller to the target memory chip before initiating a transfer, and 3) a fully-adaptive routing algorithm that effectively utilizes the path diversity to resolve path conflicts. Our experimental results show that Venice 1) improves performance by an average of 2.65x/1.67x over a baseline performance-optimized/cost-optimized SSD design across a wide range of workloads, 2) reduces energy consumption by an average of 61% compared to a baseline performance-optimized SSD design.

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Rakesh Nadig, Mohammad Sadrosadati, Haiyu Mao, Nika Mansouri Ghiasi, Arash Tavakkol, Jisung Park, Hamid Sarbazi-Azad, Juan Gómez Luna, Onur Mutlu. 2023-05-12. Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses. https://doi.org/10.1145/3579371.3589071

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