Hasan Genc

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All published works
Action Title Year Authors
+ PDF Chat MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks 2023 Seah Kim
Hasan Genc
Vadim Vadimovich Nikiforov
Krste Asanović
Borivoje Nikolić
Yakun Sophia Shao
+ PDF Chat Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration 2021 Hasan Genc
Seah Kim
Alon Amid
Ameer Haj-Ali
Vighnesh Iyer
Pranav Prakash
Jerry Zhao
Daniel Grubb
Harrison Liew
Howard Mao
+ ProTuner: Tuning Programs with Monte Carlo Tree Search 2020 Ameer Haj-Ali
Hasan Genc
Qijing Huang
William S. Moses
John Wawrzynek
Krste Asanović
Ion Stoica
+ Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures 2019 Hasan Genc
Ameer Haj-Ali
Vighnesh Iyer
Alon Amid
Howard Mao
John Wright
Colin Schmidt
Jerry Zhao
Albert Ou
Max Banister
+ MAVBench: Micro Aerial Vehicle Benchmarking 2019 Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
+ The Role of Compute in Autonomous Aerial Vehicles 2019 Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Bardienus P. Duisterhof
Brian Plancher
Kayvan Mansoorshahi
Marcelino M. de Almeida
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
+ PDF Chat MAVBench: Micro Aerial Vehicle Benchmarking 2018 Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
+ PDF Chat Domain-Specific Approximation for Object Detection 2018 Ting-Wu Chin
Chia-Lin Yu
Matthew Halpern
Hasan Genc
Shiao‐Li Tsao
Vijay Janapa Reddi
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat High-Speed Tracking with Kernelized Correlation Filters 2014 João F. Henriques
Rui Caseiro
Pedro Martins
Jorge Batista
3
+ PDF Chat YOLO9000: Better, Faster, Stronger 2017 Joseph Redmon
Ali Farhadi
3
+ PDF Chat Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM 2015 Luigi Nardi
Bruno Bodin
M. Zeeshan Zia
John Mawer
Andy Nisbet
Paul H. J. Kelly
Andrew J. Davison
Mikel Luján
Michael O’Boyle
Graham Riley
3
+ PDF Chat ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras 2017 Raul Mur-Artal
Juan D. Tardós
3
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ PDF Chat UnrealCV: Connecting Computer Vision to Unreal Engine 2016 Weichao Qiu
Alan Yuille
3
+ PDF Chat AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles 2017 Shital Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
3
+ PDF Chat VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator 2018 Tong Qin
Peiliang Li
Shaojie Shen
3
+ Flight Tour Planning with Recharging Optimization for Battery-operated Autonomous Drones. 2017 Chien-Ming Tseng
Chi-Kin Chau
Khaled Elbassioni
Majid Khonji
3
+ PDF Chat Interstellar 2020 Xuan Yang
Mingyu Gao
Qiaoyi Liu
Jeff Setter
Jing Pu
Ankita Nayak
Steven Bell
Kaidi Cao
Heonjae Ha
Priyanka Raina
2
+ VTA: An Open Hardware-Software Stack for Deep Learning. 2018 Thierry Moreau
Tianqi Chen
Ziheng Jiang
Luís Ceze
Carlos Guestrin
Arvind Krishnamurthy
2
+ In-Datacenter Performance Analysis of a Tensor Processing Unit 2017 Norman P. Jouppi
Cliff Young
Nishant Patil
David A. Patterson
Gaurav Agrawal
Raminder Bajwa
S. C. Bates
Suresh Bhatia
Nan Boden
Al Borchers
2
+ PDF Chat Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices 2019 Yu-Hsin Chen
Tien-Ju Yang
Joel Emer
Vivienne Sze
2
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ PDF Chat MAVBench: Micro Aerial Vehicle Benchmarking 2018 Behzad Boroujerdian
Hasan Genc
Srivatsan Krishnan
Wenzhi Cui
Aleksandra Faust
Vijay Janapa Reddi
1
+ Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications 2018 Jongsoo Park
Maxim Naumov
Protonu Basu
Summer Deng
Aravind Kalaiah
Daya Shanker Khudia
James Law
Parth Malani
Andrey Malevich
Satish Nadathur
1
+ Tiramisu: a polyhedral compiler for expressing fast and portable code 2019 Riyadh Baghdadi
Jessica Ray
Malek Ben Romdhane
Emanuele Del Sozzo
Abdurrahman Akkas
Yunming Zhang
Patricia Suriana
Shoaib Kamil
Saman Amarasinghe
1
+ TVM: An Automated End-to-End Optimizing Compiler for Deep Learning 2018 Tianqi Chen
Thierry Moreau
Ziheng Jiang
Lianmin Zheng
Eddie Yan
Meghan Cowan
Haichen Shen
Leyuan Wang
Yuwei Hu
Luís Ceze
1
+ Caffe: Convolutional Architecture for Fast Feature Embedding 2014 Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross Girshick
Sergio Guadarrama
Trevor Darrell
1
+ R-FCN: Object Detection via Region-based Fully Convolutional Networks 2016 Jifeng Dai
Yi Li
Kaiming He
Jian Sun
1
+ Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications 2018 Kiseok Kwon
Alon Amid
Amir Gholami
Bichen Wu
Krste Asanović
Kurt Keutzer
1
+ Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2015 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
1
+ PDF Chat In-Datacenter Performance Analysis of a Tensor Processing Unit 2017 Norman P. Jouppi
Cliff Young
Nishant Patil
David A. Patterson
Gaurav Agrawal
Raminder Bajwa
S. C. Bates
Suresh Bhatia
Nan Boden
Al Borchers
1
+ Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics 2017 Jeffrey Mahler
Jacky Liang
Sherdil Niyaz
Michael Laskey
Richard Doan
Xinyu Liu
Juan Aparicio Ojea
Ken Goldberg
1
+ PDF Chat YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers 2018 Rachel Huang
Jonathan Pedoeem
Cuixian Chen
1
+ PDF Chat You Only Look Once: Unified, Real-Time Object Detection 2016 Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
1
+ PDF Chat Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference 2018 Benoit Jacob
Skirmantas Kligys
Bo Chen
Menglong Zhu
Matthew F. Tang
Andrew Howard
Hartwig Adam
Dmitry Kalenichenko
1
+ Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training 2018 Yujun Lin
Song Han
Huizi Mao
Yu Wang
William J. Dally
1
+ Learning to Optimize Tensor Programs 2018 Tianqi Chen
Lianmin Zheng
Eddie Yan
Ziheng Jiang
Thierry Moreau
Luís Ceze
Carlos Guestrin
Arvind Krishnamurthy
1
+ PDF Chat Deep Residual Learning for Small-Footprint Keyword Spotting 2018 Raphael Tang
Jimmy Lin
1
+ The limits and potentials of deep learning for robotics 2018 Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
Raia Hadsell
Dieter Fox
Jürgen Leitner
Ben Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
1
+ MLPerf Training Benchmark 2019 Peter Mattson
Christine Cheng
Cody Coleman
Greg Diamos
Paulius Micikevicius
David E. Patterson
Hanlin Tang
Gu-Yeon Wei
Peter Bailis
Victor Bittorf
1
+ MLIR: A Compiler Infrastructure for the End of Moore's Law 2020 Chris Lattner
Jacques A. Pienaar
Mehdi Amini
Uday Bondhugula
River Riddle
Albert Cohen
Tatiana Shpeisman
Andy Davis
Nicolas Vasilache
Oleksandr Zinenko
1
+ NeuroVectorizer: end-to-end vectorization with deep reinforcement learning 2020 Ameer Haj-Ali
Nesreen K. Ahmed
Ted Willke
Yakun Sophia Shao
Krste Asanović
Ion Stoica
1
+ Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research 2020 Muhammad Huzaifa
Rishi Desai
Xutao Jiang
Joseph Ravichandran
Finn Sinclair
Sarita V. Adve
1
+ HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation 2020 Hanchen Ye
Xiaofan Zhang
Zhize Huang
Gengsheng Chen
Deming Chen
1
+ PDF Chat PREMA: A Predictive Multi-Task Scheduling Algorithm For Preemptible Neural Processing Units 2020 Yujeong Choi
Minsoo Rhu
1
+ Combining Optimal Control and Learning for Visual Navigation in Novel Environments 2019 Somil Bansal
Varun Tolani
Saurabh Gupta
Jitendra Malik
Claire J. Tomlin
1
+ AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning 2020 Ameer Haj-Ali
Qijing Huang
John Xiang
William S. Moses
Krste Asanović
John Wawrzynek
Ion Stoica
1
+ PDF Chat MLPerf Inference Benchmark 2020 Vijay Janapa Reddi
Christine Cheng
David Kanter
Peter Mattson
Guenther Schmuelling
Carole-Jean Wu
Brian A. Anderson
Maximilien Breughe
Mark Charlebois
William Chou
1
+ PDF Chat HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation 2020 Hanchen Ye
Xiaofan Zhang
Zhize Huang
Gengsheng Chen
Deming Chen
1
+ PDF Chat SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training 2020 Pengcheng Dai
Jianlei Yang
Xucheng Ye
Xingzhou Cheng
Junyu Luo
Linghao Song
Yiran Chen
Weisheng Zhao
1
+ SSD: Single Shot MultiBox Detector 2016 Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
1
+ PDF Chat Heterogeneous Dataflow Accelerators for Multi-DNN Workloads 2021 Hyoukjun Kwon
Liangzhen Lai
Michael Pellauer
Tushar Krishna
Yu‐Hsin Chen
Vikas Chandra
1
+ PDF Chat Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration 2021 Hasan Genc
Seah Kim
Alon Amid
Ameer Haj-Ali
Vighnesh Iyer
Pranav Prakash
Jerry Zhao
Daniel Grubb
Harrison Liew
Howard Mao
1
+ PDF Chat VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling 2022 Zihan Liu
Jingwen Leng
Zhihui Zhang
Quan Chen
Chao Li
Minyi Guo
1
+ PDF Chat MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores 2022 Sheng-Chun Kao
Tushar Krishna
1
+ PDF Chat Interstellar 2020 Xuan Yang
Mingyu Gao
Qiaoyi Liu
Jeff Setter
Jing Pu
Ankita Nayak
Steven Bell
Kaidi Cao
Heonjae Ha
Priyanka Raina
1
+ VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling 2022 Zihan Liu
Jingwen Leng
Zhihui Zhang
Quan Chen
Chao Li
Minyi Guo
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1