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How to Reach Real-Time AI on Consumer Devices? Solutions for
  Programmable and Custom Architectures

How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures

IEEE International Conference on Application-Specific Systems, Architectures, and Processors (ASAP), 2021
21 June 2021
Stylianos I. Venieris
Ioannis Panopoulos
Ilias Leontiadis
I. Venieris
ArXiv (abs)PDFHTML

Papers citing "How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures"

3 / 3 papers shown
ArrayFlex: A Systolic Array Architecture with Configurable Transparent
  Pipelining
ArrayFlex: A Systolic Array Architecture with Configurable Transparent PipeliningDesign, Automation and Test in Europe (DATE), 2022
C. Peltekis
D. Filippas
G. Dimitrakopoulos
C. Nicopoulos
D. Pnevmatikatos
177
9
0
22 Nov 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed
  Low-Precision DNNs with Dynamic Fixed-Point Representation
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point RepresentationIEEE Access (IEEE Access), 2022
Ahmad Shawahna
S. M. Sait
A. El-Maleh
Irfan Ahmad
MQ
177
9
0
22 Mar 2022
HAPI: Hardware-Aware Progressive Inference
HAPI: Hardware-Aware Progressive Inference
Stefanos Laskaridis
Stylianos I. Venieris
Hyeji Kim
Nicholas D. Lane
283
50
0
10 Aug 2020
1
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