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09/05/2023
PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference
Field-programmable gate arrays (FPGAs) are widely used to implement deep...
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08/09/2023
FPGA Resource-aware Structured Pruning for Real-Time Neural Networks
Neural networks achieve state-of-the-art performance in image classifica...
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04/17/2023
ATHEENA: A Toolflow for Hardware Early-Exit Network Automation
The continued need for improvements in accuracy, throughput, and efficie...
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03/03/2023
Automating Constraint-Aware Datapath Optimization using E-Graphs
Numerical hardware design requires aggressive optimization, where design...
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05/30/2022
Combining E-Graphs with Abstract Interpretation
E-graphs are a data structure that compactly represents equivalent expre...
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04/25/2022
Automatic Datapath Optimization using E-Graphs
Manual optimization of Register Transfer Level (RTL) datapath is commonp...
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03/17/2022
Abstract Interpretation on E-Graphs
Recent e-graph applications have typically considered concrete semantics...
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01/27/2022
High-level Synthesis using the Julia Language
The growing proliferation of FPGAs and High-level Synthesis (HLS) tools ...
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12/04/2021
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference
FPGA-specific DNN architectures using the native LUTs as independently t...
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02/08/2021
Enabling Binary Neural Network Training on the Edge
The ever-growing computational demands of increasingly complex machine l...
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06/16/2020
Digit Stability Inference for Iterative Methods Using Redundant Number Representation
In our recent work on iterative computation in hardware, we showed that ...
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12/02/2019
A Probabilistic Approach to Floating Point Arithmetic
Finite-precision floating point arithmetic unavoidably introduces roundi...
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10/24/2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference
Research has shown that deep neural networks contain significant redunda...
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10/01/2019
ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute
Many algorithms feature an iterative loop that converges to the result o...
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05/07/2019
Rethinking Arithmetic for Deep Neural Networks
We consider efficiency in deep neural networks. Hardware accelerators ar...
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04/01/2019
LUTNet: Rethinking Inference in FPGA Soft Logic
Research has shown that deep neural networks contain significant redunda...
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01/21/2019