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06/16/2023
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference
Convolutional Neural Networks (CNNs) are used in a wide range of applica...
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03/14/2023
Statistical Hardware Design With Multi-model Active Learning
With the rising complexity of numerous novel applications that serve our...
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02/12/2023
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference
In this paper, we present Quark, an integer RISC-V vector processor spec...
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12/31/2022
BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU
We present a DNN accelerator that allows inference at arbitrary precisio...
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06/24/2022
QReg: On Regularization Effects of Quantization
In this paper we study the effects of quantization in DNN training. We h...
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05/04/2022
Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose Estimation
Spacecraft pose estimation is an essential computer vision application t...
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05/03/2022
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators
Memristors enable the computation of matrix-vector multiplications (MVM)...
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02/18/2022
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks
Recent efforts in deep learning show a considerable advancement in redes...
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03/13/2021
Design Principles for Packet Deparsers on FPGAs
The P4 language has drastically changed the networking field as it allow...
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04/16/2020
Bridging the Gap: FPGAs as Programmable Switches
The emergence of P4, a domain specific language, coupled to PISA, a doma...
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04/06/2020
CNN2Gate: Toward Designing a General Framework for Implementation of Convolutional Neural Networks on FPGA
Convolutional Neural Networks (CNNs) have a major impact on our society ...
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12/23/2019
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks
Deep neural networks (DNNs) depend on the storage of a large number of p...
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08/02/2019
U-Net Fixed-Point Quantization for Medical Image Segmentation
Model quantization is leveraged to reduce the memory consumption and the...
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01/11/2018
Formal Dependability Modeling and Optimization of Scrubbed-Partitioned TMR for SRAM-based FPGAs
SRAM-based FPGAs are popular in the aerospace industry for their field p...
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11/24/2017
SHIP: A Scalable High-performance IPv6 Lookup Algorithm that Exploits Prefix Characteristics
Due to the emergence of new network applications, current IP lookup engi...
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01/12/2017
