ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.01723
  4. Cited By
Apollo: Transferable Architecture Exploration

Apollo: Transferable Architecture Exploration

2 February 2021
Amir Yazdanbakhsh
Christof Angermueller
Berkin Akin
Yanqi Zhou
Albin Jones
Milad Hashemi
Kevin Swersky
S. Chatterjee
Ravi Narayanaswami
James Laudon
ArXiv (abs)PDFHTML

Papers citing "Apollo: Transferable Architecture Exploration"

12 / 12 papers shown
Title
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
Arash Nasr-Esfahany
Mohammad Alizadeh
Victor Lee
Hanna Alam
Brett W. Coon
...
Martin Dixon
H. Levy
Santosh Pandey
Parthasarathy Ranganathan
Amir Yazdanbakhsh
66
0
0
29 Mar 2025
Tao: Re-Thinking DL-based Microarchitecture Simulation
Tao: Re-Thinking DL-based Microarchitecture Simulation
Santosh Pandey
Amir Yazdanbakhsh
Hang Liu
AI4CE
77
3
0
16 Apr 2024
GRANITE: A Graph Neural Network Model for Basic Block Throughput
  Estimation
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation
O. Sýkora
P. Phothilimthana
Charith Mendis
Amir Yazdanbakhsh
GNN
108
21
0
08 Oct 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and
  Flexible Blackbox Optimization
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
Xingyou Song
Sagi Perel
Chansoo Lee
Greg Kochanski
Daniel Golovin
101
27
0
27 Jul 2022
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space
  Exploration Tool for FPGA High-Level Synthesis
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis
Mang Yu
Sitao Huang
Deming Chen
70
9
0
03 Jul 2022
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Aviral Kumar
Amir Yazdanbakhsh
Milad Hashemi
Kevin Swersky
Sergey Levine
111
38
0
20 Oct 2021
A Learning-based Approach Towards Automated Tuning of SSD Configurations
A Learning-based Approach Towards Automated Tuning of SSD Configurations
Daixuan Li
Jian Huang
18
4
0
17 Oct 2021
AIRCHITECT: Learning Custom Architecture Design and Mapping Space
AIRCHITECT: Learning Custom Architecture Design and Mapping Space
A. Samajdar
J. Joseph
Matthew Denton
T. Krishna
125
7
0
16 Aug 2021
A Full-Stack Search Technique for Domain Optimized Deep Learning
  Accelerators
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators
Dan Zhang
Safeen Huda
Ebrahim M. Songhori
Kartik Prabhu
Quoc V. Le
Anna Goldie
Azalia Mirhoseini
94
53
0
26 May 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks
K. Seshadri
Berkin Akin
James Laudon
Ravi Narayanaswami
Amir Yazdanbakhsh
105
121
0
20 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems
A Survey of Machine Learning for Computer Architecture and Systems
Nan Wu
Yuan Xie
AI4TSAI4CE
108
152
0
16 Feb 2021
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained
  Autonomous UAVs
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
Srivatsan Krishnan
Zishen Wan
K. Bharadwaj
P. Whatmough
Aleksandra Faust
Sabrina M. Neuman
Gu-Yeon Wei
David Brooks
Vijay Janapa Reddi
38
3
0
05 Feb 2021
1