Berkin Akin

According to our database, Berkin Akin authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MobileNetV4: Universal Models for the Mobile Ecosystem.

Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew G. Howard

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

Towards the Co-design of Neural Networks and Accelerators.

Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks.

Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami, Amir Yazdanbakhsh

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs.

Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models.

Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu

CoRR, 2021

Rethinking Co-design of Neural Architectures and Hardware Accelerators.

Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

CoRR, 2021

Apollo: Transferable Architecture Exploration.

Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon

CoRR, 2021

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.

Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Discovering Multi-Hardware Mobile Models via Architecture Search.

Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks.

Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators.

Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

CoRR, 2020

Accelerator-aware Neural Network Design using AutoML.

Suyog Gupta, Berkin Akin

CoRR, 2020

2019

A Case For Asymmetric Processing in Memory.

Berkin Akin, Alaa R. Alameldeen

IEEE Comput. Archit. Lett., 2019

ZCOMP: Reducing DNN Cross-Layer Memory Footprint Using Vector Extensions.

Berkin Akin, Zeshan A. Chishti, Alaa R. Alameldeen

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Memory system characterization of deep learning workloads.

Zeshan Chishti, Berkin Akin

Proceedings of the International Symposium on Memory Systems, 2019

2018

Dynamic fine-grained sparse memory accesses.

Berkin Akin, Chiachen Chou, Jongsoo Park, Christopher J. Hughes, Rajat Agarwal

Proceedings of the International Symposium on Memory Systems, 2018

A case for hardware-supported sub-cache line accesses.

Christopher Schmidt, Markus Dreseler, Berkin Akin, Amithaba Roy

Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018

2016

FFTs with Near-Optimal Memory Access Through Block Data Layouts: Algorithm, Architecture and Design Automation.

Berkin Akin, Franz Franchetti, James C. Hoe

J. Signal Process. Syst., 2016

HAMLeT Architecture for Parallel Data Reorganization in Memory.

Berkin Akin, Franz Franchetti, James C. Hoe

IEEE Micro, 2016

2015

Enabling portable energy efficiency with memory accelerated library.

Qi Guo, Tze Meng Low, Nikolaos Alachiotis, Berkin Akin, Larry T. Pileggi, James C. Hoe, Franz Franchetti

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Data reorganization in memory using 3D-stacked DRAM.

Berkin Akin, Franz Franchetti, James C. Hoe

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

2014

FFTS with near-optimal memory access through block data layouts.

Berkin Akin, Franz Franchetti, James C. Hoe

Proceedings of the IEEE International Conference on Acoustics, 2014

Algorithm/hardware co-optimized SAR image reconstruction with 3D-stacked logic in memory.

Fazle Sadi, Berkin Akin, Doru-Thom Popovici, James C. Hoe, Larry T. Pileggi, Franz Franchetti

Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

HAMLeT: Hardware accelerated memory layout transform within 3D-stacked DRAM.

Berkin Akin, James C. Hoe, Franz Franchetti

Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

Understanding the design space of DRAM-optimized hardware FFT accelerators.

Berkin Akin, Franz Franchetti, James C. Hoe

Proceedings of the IEEE 25th International Conference on Application-Specific Systems, 2014

2013

A 3D-stacked logic-in-memory accelerator for application-specific data intensive computing.

Qiuling Zhu, Berkin Akin, Huseyin Ekin Sumbul, Fazle Sadi, James C. Hoe, Larry T. Pileggi, Franz Franchetti

Proceedings of the 2013 IEEE International 3D Systems Integration Conference (3DIC), 2013

2012

Algorithm and architecture optimization for large size two dimensional discrete fourier transform (abstract only).

Berkin Akin, Peter A. Milder, Franz Franchetti, James C. Hoe

Proceedings of the ACM/SIGDA 20th International Symposium on Field Programmable Gate Arrays, 2012

Memory Bandwidth Efficient Two-Dimensional Fast Fourier Transform Algorithm and Implementation for Large Problem Sizes.

Berkin Akin, Peter A. Milder, Franz Franchetti, James C. Hoe

Proceedings of the 2012 IEEE 20th Annual International Symposium on Field-Programmable Custom Computing Machines, 2012