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SCALE-Sim: Systolic CNN Accelerator Simulator

SCALE-Sim: Systolic CNN Accelerator Simulator

16 October 2018
A. Samajdar
Yuhao Zhu
P. Whatmough
Matthew Mattina
Tushar Krishna
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Papers citing "SCALE-Sim: Systolic CNN Accelerator Simulator"

18 / 18 papers shown
Title
Embedded Distributed Inference of Deep Neural Networks: A Systematic
  Review
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
Federico Nicolás Peccia
Oliver Bringmann
28
0
0
06 May 2024
TransAxx: Efficient Transformers with Approximate Computing
TransAxx: Efficient Transformers with Approximate Computing
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Jörg Henkel
ViT
42
2
0
12 Feb 2024
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional
  Network Accelerators
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Min-hee Yoo
Jaeyong Song
Hyeyoon Lee
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
GNN
28
5
0
24 Jan 2023
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network
  Accelerator
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator
Shurui Li
Hangbo Yang
C. Wong
V. Sorger
Puneet Gupta
12
12
0
10 Nov 2022
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
Cecilia Latotzke
Tim Ciesielski
T. Gemmeke
MQ
13
7
0
09 Aug 2022
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality
A. Inci
Siri Garudanagiri Virupaksha
Aman Jain
Venkata Vivek Thallam
Ruizhou Ding
Diana Marculescu
MQ
22
2
0
20 May 2022
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN
  Accelerators
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators
A. Inci
Siri Garudanagiri Virupaksha
Aman Jain
Venkata Vivek Thallam
Ruizhou Ding
Diana Marculescu
MQ
11
5
0
17 May 2022
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN
  Accelerators
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators
Axel Stjerngren
Perry Gibson
José Cano
20
4
0
26 Apr 2022
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators
Zhijing Li
Yuwei Ye
S. Neuendorffer
Adrian Sampson
25
3
0
01 Feb 2022
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
22
89
0
30 Aug 2021
Design and Scaffolded Training of an Efficient DNN Operator for Computer
  Vision on the Edge
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
Vinod Ganesan
Pratyush Kumar
34
2
0
25 Aug 2021
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
Sheng-Chun Kao
Suvinay Subramanian
Gaurav Agrawal
Amir Yazdanbakhsh
T. Krishna
30
57
0
13 Jul 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space
  Search
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Kartik Hegde
Po-An Tsai
Sitao Huang
Vikas Chandra
A. Parashar
Christopher W. Fletcher
26
90
0
02 Mar 2021
Control Variate Approximation for DNN Accelerators
Control Variate Approximation for DNN Accelerators
Georgios Zervakis
Ourania Spantidi
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
BDL
16
22
0
18 Feb 2021
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity
  Edge Devices
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices
Parth Mannan
A. Samajdar
T. Krishna
23
2
0
27 Aug 2020
STONNE: A Detailed Architectural Simulator for Flexible Neural Network
  Accelerators
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators
Francisco Munoz-Martínez
José L. Abellán
M. Acacio
T. Krishna
17
11
0
10 Jun 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN
  Accelerators with Various Dataflows and Hardware Architectures
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
Yang Katie Zhao
Chaojian Li
Yue Wang
Pengfei Xu
Yongan Zhang
Yingyan Lin
9
41
0
26 Feb 2020
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
12
36
0
12 Jun 2018
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