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1 . Conference
Invited: Accelerator design for deep learning training
저자
by
Agrawal, Ankur
;
Chia-Yu Chen
;
Jungwook Choi
;
Gopalakrishnan, Kailash
;
Jinwook Oh
, et al.
소스
2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC) Design Automation Conference (DAC), 2017 54th ACM/EDAC/IEEE. :1-2 Jun, 2017
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7 . Conference
A simultaneous multithreading heterogeneous object recognition processor with machine learning based dynamic resource management
저자
by
Jinwook Oh
;
Gyeonghoon Kim
;
Junyoung Park
;
Injoon Hong
;
Seungjin Lee
, et al.
소스
2012 IEEE COOL Chips XV Cool Chips XV (COOL Chips), 2012 IEEE. :1-3 Apr, 2012
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7 . Conference
A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine
저자
by
Joo-Young Kim
;
Minsu Kim
;
Seungjin Lee
;
Jinwook Oh
;
Kwanho Kim
, et al.
소스
2009 IEEE International Solid-State Circuits Conference - Digest of Technical Papers Solid-State Circuits Conference - Digest of Technical Papers, 2009. ISSCC 2009. IEEE International. :150-151,151a Feb, 2009
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7 .
LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler
저자
by
Sungyeob Yoo
;
Hyunsung Kim
;
Jinseok Kim
;
Sunghyun Park
;
Joo-Young Kim
, et al.
소스
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
.
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7 .
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling
저자
by
Jinwook Oh
;
Alyssa Herbert
;
Marcel Schaal
;
Zhibin Ren
;
Ching Zhou
, et al.
소스
IEEE Journal of Solid-State Circuits
. 57:182-197
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Web of Science
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7 .
LightTrader : World’s first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators
저자
by
Hyunsung Kim
;
Sungyeob Yoo
;
Jaewan Bae
;
Kyeongryeol Bong
;
Yoonho Boo
, et al.
소스
2022 IEEE Hot Chips 34 Symposium (HCS)
.
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7 .
Efficient AI System Design With Cross-Layer Approximate Computing
저자
by
Michael J. Klaiber
;
George D. Gristede
;
Shih-Hsien Lo
;
Hiroshi Inoue
;
Leland Chang
, et al.
소스
Proceedings of the IEEE
. 108:2232-2250
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7 .
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference
저자
by
Scot H. Rider
;
Martin Lutz
;
Moriyoshi Ohara
;
Pong-Fei Lu
;
Monodeep Kar
, et al.
소스
ISCA
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7 .
9.1 A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling
저자
by
Xin Zhang
;
Vijayalakshmi Srinivasan
;
Wei Wang
;
Jungwook Choi
;
Siyu Koswatta
, et al.
소스
ISSCC
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7 .
A Scalable Multi-TeraOPS Core for AI Training and Inference
저자
by
Matthew M. Ziegler
;
Sunil Shukla
;
Gary W. Maier
;
Jinwook Oh
;
Kailash Gopalakrishnan
, et al.
소스
IEEE Solid-State Circuits Letters
. 1:217-220
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Scopus
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