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06/24/2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Sampling methods (e.g., node-wise, layer-wise, or subgraph) has become a...
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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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11/08/2019
AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling
Different GPU applications exhibit varying scalability patterns with net...
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10/15/2019
Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing
Edge computing and IoT applications are severely constrained by limited ...
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05/18/2019
A caching system with object sharing
We consider a public content caching system that is shared by a number o...
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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
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
SimpleSSD: Modeling Solid State Drives for Holistic System Simulation
Existing solid state drive (SSD) simulators unfortunately lack hardware ...
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04/17/2017
