Categories

Mobile — 146
NSL — 22
NSL Project — 2

How can good research be done

by Daeyoung Song on 2019-05-17 11:18:24

Date : 2019.05.23(Thu.) Locate : EB5. 410 Presenter : Hyungshin Kim Title : How can good research be done? We will have time to study 'Research skill'. Continue reading →

161 Views

How to write a paper in the system field

by Daeyoung Song on 2019-05-15 17:42:39

Date : 2019.05.16(Thu) Locate : EB5. 607 Presenter : Hyungshin Kim Title : How to write a paper in the system field We will have time to study how to write systems papers.   Continue reading →

129 Views

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

by Donghee Ha on 2019-05-14 11:29:54

Date : 2019.05.16(Thu) Locate : EB5. 533 Presenter : Donghee Ha Title : GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Author : Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen Abstract : GPipe is a scalable pipeline parallelism library that enables learning of giant deep neural networks. It partitions network layers across accelerators and pipelines execution to achieve high hardware utilization. It leverages recomputation to minimize activation memory usage. For example, using partitions over 8 accelerators, it is able to train networks that are 25x larger, demonstrating its scalability. It also guarantees that the computed gradients remain consistent regardless of the number of partitions. It achieves an almost linear speed up without any changes in the model parameters: when using 4x more accelerators, training the same model is up to 3.5x faster. We train a 557 ... Continue reading →

160 Views

How to read papers

by Daeyoung Song on 2019-05-13 00:00:00

Date : 2019.05.14(Tue.) Locate : EB5. 410 Presenter : Hyungshin Kim Title : How Continue reading →

144 Views

How to write good papers

by Daeyoung Song on 2019-05-09 20:55:18

Date : 2019.05.09(Thu) Locate : EB5. 607 Presenter : Hyungshin Kim Title : How to write good papers We will have time to study 'Writing paper skill'.   Continue reading →

121 Views

Predictable Flight Management System Implementation on a Multicore Processor

by Sihyeong Park on 2019-04-29 11:51:09

Date : 2019.05.02(Thu) Locate : EB5. 533 Presenter : Sihyeong Park Title : Predictable Flight Management System Implementation on a Multicore Processor Author : Guy Durrieu, Madeleine Faugère, Sylvain Girbal, Daniel Gracia Pérez, Claire Pagetti, W. Puffitsch  Abstract : This paper presents an approach for hosting a representative avionic function on a distributed-memory mul-ticore COTS architecture. This approach was developed in collaboration by Thales and ONERA, in order to improve the performance of the function while enforcing its predictability. Once the target avionic function and the multicore architecture have been introduced, the execution model and the needed basic services are described and evaluated. Continue reading →

159 Views

[Invite Talk] Jaymin Lee

by Jinyoung Choi on 2019-04-05 11:28:05

Date : 2019. 4. 8 (Mon) 11:00 Locate : EB5, 508 Presenter : Jaymin Lee   We will have time to ask and answer how to prepare for employment and the presenter, Jaymin Lee will present about research trend. Jaymin Lee works for ETRI, and as the most recent graduate Ph.D. student, look forward to the great talk!   Continue reading →

226 Views

Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing

by Jinyoung Choi on 2019-04-04 22:09:49

Date : 2019. 04. 17 (Wed) 13:30 Locate : EB5. 533 Presenter : Jinyoung Choi   Title : Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing Author : Rui Wang, Weichen Wang, Alex Dasilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Champbell (Dartmouth College)   Abstract : There are rising rates of depression on college campuses. Mental health services on our campuses are working at full stretch. In response researchers have proposed using mobile sensing for continuous mental health assessment. Existing work on understanding the relationship between mobile sensing and depression, however, focuses on generic behavioral features that do not map to major depressive disorder symptoms defined in the standard mental disorders diagnostic manual (DSM-5). We propose a new approach to predicting depression using passive sensing data from students’ smartphones and wearables. We ... Continue reading →

233 Views

[Invited Talk] Cha Yonghoon

by Jinyoung Choi on 2019-04-03 00:00:00

Date : 2019. 4. 4 (Thu) 20:00 Locate : EB5, 607 Presenter : Yonghoon Cha   Continue reading →

194 Views

멀티코어 시스템에서의 TLB Lockdown을 통한 WCET 개선

by Daeyoung Song on 2019-03-29 00:00:00

Date : 2019.4.4(Thursday) Locate : EB5. 533 Presenter : Daeyoung Song Title :&n Continue reading →

173 Views

임베디드 시스템에서의 OpenCL기반 비정방 행렬곱셈 최적화

by Byungkyo Jung on 2019-03-26 00:00:00

Date : 2019.3.27(Wednesday) Locate : EB5. 533 Presenter : byeongkyo cheong Title Continue reading →

157 Views

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

by Byungkyo Jung on 2018-11-27 20:17:14

Date : 2018. 12. 4 (Tue) 10:00 Locate : EB5, 533 Presenter : Byeongkyo Cheong   Title :  DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications Author : Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev (Bell Labs, University of Cambridge, University of Bologna)   Abstract : Breakthroughs from the field of deep learning are radically changing how sensor data are interpreted to extract the high-level information needed by mobile apps. It is critical that the gains in inference accuracy that deep models afford become embedded in future generations of mobile apps. In this work, we present the design and implementation of DeepX, a software accelerator for deep learning execution. DeepX significantly lowers the device resources (viz. memory, computation, energy) required by deep learning that currently act as a severe bottleneck to mobile adoption. The foundation of DeepX is a pair of resource control algorithms, designed ... Continue reading →

468 Views

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

by Jinse Kwon on 2018-11-23 18:13:31

Date : 2018. 11. 23 (Tue) 10:00 Locate : EB5. 533 Presenter : Jinse Kwon   Title : DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications Author : Loc N. Huynh, Youngki Lee, Rajesh Krishna Balan (Singapore Management University )   Abstract : The rapid emergence of head-mounted devices such as the Microsoft Holo-lens enables a wide variety of continuous vision applications. Such applications often adopt deep-learning algorithms such as CNN and RNN to extract rich contextual information from the first-person-view video streams. Despite the high accuracy, use of deep learning algorithms in mobile devices raises critical challenges, i.e., high processing latency and power consumption. In this paper, we propose DeepMon, a mobile deep learning inference system to run a variety of deep learning inferences purely on a mobile device in a fast and energy-efficient manner. For this, we designed a suite of ... Continue reading →

411 Views

실시간 운영체제의 태스크 설정에 따른 스케줄링 성능 분석

by Hyeoksoo Jang on 2018-10-25 17:56:38

Date : 2018.11.06 (Tue) 10:00 Locate : EB5. 533 Presenter : Hyeoksoo Jang Title : 실시간 운영체제의 태스크 설정에 따른 스케줄링 성능 분석 Abstract :  Continue reading →

262 Views

임베디드 디바이스에서 OpenCL을 이용한 흑백 이미지 색생화 가속화

by Donghee Ha on 2018-10-25 17:53:49

Date : 2018.10.23 Locate : EB5. 533 Presenter : Donghee Ha Title : 임베디드 디바이스에서 OpenCL을 이용한 흑백 이미지 색생화 가속화 Abstract :      Continue reading →

270 Views