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12/07/2022
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads
Emerging real-time multi-model ML (RTMM) workloads such as AR/VR and dro...
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11/16/2022
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Real-time multi-model multi-task (MMMT) workloads, a new form of deep le...
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06/07/2022
A Formalism of DNN Accelerator Flexibility
The high efficiency of domain-specific hardware accelerators for machine...
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11/01/2021
HRViT: Multi-Scale High-Resolution Vision Transformer
Vision transformers (ViTs) have attracted much attention for their super...
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06/19/2021
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
There is a growing interest in custom spatial accelerators for machine l...
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03/18/2021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
Sparsity, which occurs in both scientific applications and Deep Learning...
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11/30/2020
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package
Deep neural network (DNN) models continue to grow in size and complexity...
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02/18/2020
Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators
The efficiency of a spatial DNN accelerator depends heavily on the compi...
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02/18/2020
MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators
The efficiency of a spatial DNN accelerator depends heavily on the compi...
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02/10/2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Neural Architecture Search (NAS) has demonstrated its power on various A...
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12/03/2019
Understanding the Impact of On-chip Communication on DNN Accelerator Performance
Deep Neural Networks have flourished at an unprecedented pace in recent ...
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09/13/2019
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices
Recent advances in deep neural networks (DNNs) have made DNNs the backbo...
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05/04/2018