{SpanDB}: A fast,{Cost-Effective}{LSM-tree} based {KV} store on hybrid storage

H Chen, C Ruan, C Li, X Ma, Y Xu - 19th USENIX Conference on File …, 2021 - usenix.org
Key-Value (KV) stores support many crucial applications and services. They perform fast in-
memory processing, but are still often limited by I/O performance. The recent emergence of …

ZNS+: Advanced zoned namespace interface for supporting in-storage zone compaction

K Han, H Gwak, D Shin, J Hwang - 15th {USENIX} Symposium on …, 2021 - usenix.org
The NVMe zoned namespace (ZNS) is emerging as a new storage interface, where the
logical address space is divided into fixed-sized zones, and each zone must be written …

Hello bytes, bye blocks: Pcie storage meets compute express link for memory expansion (cxl-ssd)

M Jung - Proceedings of the 14th ACM Workshop on Hot Topics …, 2022 - dl.acm.org
Compute express link (CXL) is the first open multi-protocol method to support cache
coherent interconnect for different processors, accelerators, and memory device types. Even …

SSD-based workload characteristics and their performance implications

G Yadgar, M Gabel, S Jaffer, B Schroeder - ACM Transactions on …, 2021 - dl.acm.org
Storage systems are designed and optimized relying on wisdom derived from analysis
studies of file-system and block-level workloads. However, while SSDs are becoming a …

Don't be a blockhead: zoned namespaces make work on conventional SSDs obsolete

T Stavrinos, DS Berger, E Katz-Bassett… - Proceedings of the …, 2021 - dl.acm.org
Research on flash devices almost exclusively focuses on conventional SSDs, which expose
a block interface. Industry, however, has standardized and is adopting Zoned Namespaces …

{Hardware/Software}{Co-Programmable} framework for computational {SSDs} to accelerate deep learning service on {Large-Scale} graphs

M Kwon, D Gouk, S Lee, M Jung - 20th USENIX Conference on File and …, 2022 - usenix.org
Graph neural networks (GNNs) process large-scale graphs consisting of a hundred billion
edges. In contrast to traditional deep learning, unique behaviors of the emerging GNNs are …

Rearchitecting the {TCP} Stack for {I/O-Offloaded} Content Delivery

T Kim, DM Ng, J Gong, Y Kwon, M Yu… - 20th USENIX Symposium …, 2023 - usenix.org
The recent advancement of high-bandwidth I/O devices enables scalable delivery of online
content. Unfortunately, the traditional programming model for content servers has a tight …

Behemoth: a flash-centric training accelerator for extreme-scale {DNNs}

S Kim, Y Jin, G Sohn, J Bae, TJ Ham… - 19th USENIX Conference …, 2021 - usenix.org
The explosive expansion of Deep Neural Networks (DNN) model size expedites the need for
larger memory capacity. This movement is particularly true for models in natural language …

{ScalaAFA}: Constructing {User-Space}{All-Flash} Array Engine with Holistic Designs

S Yi, X Pan, Q Li, Q Li, C Wang, B Mao, M Jung… - 2024 USENIX Annual …, 2024 - usenix.org
All-flash array (AFA) is a popular approach to aggregate the capacity of multiple solid-state
drives (SSDs) while guaranteeing fault tolerance. Unfortunately, existing AFA engines inflict …

Write dependency disentanglement with {HORAE}

X Liao, Y Lu, E Xu, J Shu - 14th USENIX Symposium on Operating …, 2020 - usenix.org
Storage systems rely on write dependency to achieve atomicity and consistency. However,
enforcing write dependency comes at the expense of performance; it concatenates multiple …