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05/27/2023
GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets
We present GraphTensor, a comprehensive open-source framework that suppo...
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01/14/2023
Failure Tolerant Training with Persistent Memory Disaggregation over CXL
This paper proposes TRAININGCXL that can efficiently process large-scale...
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01/23/2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
Graph neural networks (GNNs) process large-scale graphs consisting of a ...
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06/27/2021
Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution
Large persistent memories such as NVDIMM have been perceived as a disrup...
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06/16/2020
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack
Host-side page victimizations can easily overflow the SSD internal buffe...
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12/15/2019
Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs
Emerging storage systems with new flash exhibit ultra-low latency (ULL) ...
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06/12/2019
Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters
Large-scale systems with all-flash arrays have become increasingly commo...
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11/05/2018
Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources
SSDs become a major storage component in modern memory hierarchies, and ...
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09/14/2017
Understanding System Characteristics of Online Erasure Coding on Scalable, Distributed and Large-Scale SSD Array Systems
Large-scale systems with arrays of solid state disks (SSDs) have become ...
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09/14/2017
TraceTracker: Hardware/Software Co-Evaluation for Large-Scale I/O Workload Reconstruction
Block traces are widely used for system studies, model verifications, an...
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05/18/2017