Lune

ISCA2023Top-tier venue

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

2023Year
29Citations
6Top-tier citations

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 2.65×/1.67× 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. Venice's benefits come at a relatively low area overhead.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 83ee6d55-78f8-4d6a-8a3e-d4adb7df1c86

Cited by top-tier papers6

Ask how each one uses it

Builds on9

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines