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SAGA: Synthesis Augmentation with Genetic Algorithms for In-Memory Sequence Optimization

SAGA: Synthesis Augmentation with Genetic Algorithms for In-Memory Sequence Optimization

Andey Robins
Mike Borowczak
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Papers citing "SAGA: Synthesis Augmentation with Genetic Algorithms for In-Memory Sequence Optimization"

2 / 2 papers shown
Title
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Malte J. Rasch
C. Mackin
Manuel Le Gallo
An Chen
A. Fasoli
...
P. Narayanan
H. Tsai
G. Burr
Abu Sebastian
Vijay Narayanan
32
90
0
16 Feb 2023
Towards a Stronger Theory for Permutation-based Evolutionary Algorithms
Towards a Stronger Theory for Permutation-based Evolutionary Algorithms
Benjamin Doerr
Yassine Ghannane
Marouane Ibn Brahim
34
7
0
15 Apr 2022

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