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09/19/2023
DeepliteRT: Computer Vision at the Edge
The proliferation of edge devices has unlocked unprecedented opportuniti...
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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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04/18/2023
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables
A lot of recent progress has been made in ultra low-bit quantization, pr...
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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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07/18/2022
Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime
Deep Learning has been one of the most disruptive technological advancem...
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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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01/11/2021
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
Designing deep learning-based solutions is becoming a race for training ...
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08/02/2019