Data-Driven Offline Optimization For Architecting Hardware Accelerators

20 October 2021

Papers citing "Data-Driven Offline Optimization For Architecting Hardware Accelerators"

25 / 25 papers shown

Title
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Z. Liu Yoshua Bengio Can Chen OffRL 62 2 0 21 Mar 2025
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization X. Zhang Yue-jiao Gong Zhiguang Cao Jun Zhang OffRL 44 1 0 17 Mar 2025
Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study X. Zhang Yue-jiao Gong Jun Zhang 59 0 0 11 Mar 2025
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 52 2 0 17 Oct 2024
Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 81 2 0 15 Oct 2024
Integrated Hardware Architecture and Device Placement Search Irene Wang Jakub Tarnawski Amar Phanishayee Divya Mahajan 27 1 0 18 Jul 2024
Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance Arya Fayyazi M. Kamal Massoud Pedram 24 0 0 11 Jul 2024
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories Qianlan Yang Yu-Xiong Wang OnRL 34 1 0 06 Jun 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction Chen-Yu Yen Raghav Singhal Umang Sharma Rajesh Ranganath S. Chopra Lerrel Pinto 32 1 0 06 Jun 2024
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training Muhammad Adnan Amar Phanishayee Janardhan Kulkarni Prashant J. Nair Divyat Mahajan 29 0 0 23 Apr 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 48 14 0 22 Feb 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 16 4 0 08 Jan 2024
From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Qiang Zhang Ruida Zhou Yang Shen Tie Liu OffRL 33 1 0 04 Jan 2024
DEAP: Design Space Exploration for DNN Accelerator Parallelism Ekansh Agrawal Xiangyu Sam Xu 24 1 0 24 Dec 2023
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction Han Qi Xinyang Geng Stefano Rando Iku Ohama Aviral Kumar Sergey Levine DiffM 39 2 0 16 Oct 2023
Searching for High-Value Molecules Using Reinforcement Learning and Transformers Raj Ghugare Santiago Miret Adriana Hugessen Mariano Phielipp Glen Berseth 11 16 0 04 Oct 2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design Srivatsan Krishnan Amir Yazdanbaksh Shvetank Prakash Jason J. Jabbour Ikechukwu Uchendu ... Behzad Boroujerdian Daniel Richins Devashree Tripathy Aleksandra Faust Vijay Janapa Reddi 43 11 0 15 Jun 2023
Learning Performance-Improving Code Edits Alex Shypula Aman Madaan Yiming Yang Uri Alon Jacob R. Gardner Milad Hashemi Graham Neubig Parthasarathy Ranganathan Osbert Bastani Amir Yazdanbakhsh SyDa 25 80 0 15 Feb 2023
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration Srivatsan Krishnan Natasha Jaques Shayegan Omidshafiei Dan Zhang Izzeddin Gur Vijay Janapa Reddi Aleksandra Faust 24 2 0 29 Nov 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning Qi Yi-Hsun Su Aviral Kumar Sergey Levine OffRL 27 19 0 21 Nov 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation O. Sýkora P. Phothilimthana Charith Mendis Amir Yazdanbakhsh GNN 43 21 0 08 Oct 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 29 29 0 13 Jul 2022
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
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 14 117 0 20 Feb 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 64 46 0 16 Feb 2021