Difference between revisions of "AMGCC19 Program"

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(Accepted Papers | Workshop Main Page)
(Workshop Program | Workshop Main Page)
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| 14:30 - 14:50
 
| 14:30 - 14:50
| Towards Predicting GPGPU Performance for Concurrent Workloads
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| An I/O Isolation Scheme for Key-Value Store on Multiple Solid-State Drives
| Sunggon Kim, Donghwan Kim, Hyeonsang Eom and Yongseok Son
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| Hwajung Kim, Heonyoung Yeom and Yongseok Son
| Sogang University
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| 14:50 - 15:10
 
| 14:50 - 15:10
| Efficient Multi-GPU Memory Management for Deep Learning Acceleration
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| Efficient Large-scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster
| Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh
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| Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei and Hongchan Roh
| Korea Aerospace University, Myongji University, SK Telecom
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Revision as of 01:53, 16 May 2019

Accepted Papers | Workshop Main Page

  • Sunggon Kim, Donghwan Kim, Hyeonsang Eom and Yongseok Son, "Towards Predicting GPGPU Performance for Concurrent Workloads"
  • Hwajung Kim, Heonyoung Yeom and Yongseok Son, "An I/O Isolation Scheme for Key-Value Store on Multiple Solid-State Drives"
  • Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei and Hongchan Roh, "Efficient Large-scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster"
  • Jeongchul Kim, Jungae Park and Kyungyong Lee, "Network Resource Isolation in Serverless Cloud Function Service"
  • Sanghyeok Kim, Jeho Song, Sangyeon Woo, Youngjae Kim and Sungyong Park, "Gas Consumption-aware Dynamic Load Balancing in Ethereum Sharding Environments"
  • Seungwoo Rho, Ji Eun Choi, Geunchul Park and Chan-Yeol Park, "Performance Analysis of Various Multi- and Many-core Systems Centered on Memory"
  • Seongjae Park, Yunjae Lee, Yoonhee Kim and Heon Y. Yeom, "Profiling Data Access Pattern of Huge Workloads with Bounded Overhead and Accuracy"
  • Saima Majeed, Ammar Ul Hassan and Jaeyoung Choi, "TeX Bitmap Font Module for FreeType Rasterizer"

Workshop Program | Workshop Main Page

  • Date: June 20 (Thursday), 2019
  • Time: 02:00 PM - 05:30 PM

This workshop features oral presentations of 8 full papers.

Time Title Authors Institution Session Chair
14:00 - 14:10 Welcome Remarks by AMGCC workshop organizers
14:10 - 14:30 Design and Implementation of Software-based Dynamically Connected Transport Sunggon Kim, Donghwan Kim, Hyeonsang Eom and Yongseok Son Sungyong Park, Hyeonsang Eom
14:30 - 14:50 An I/O Isolation Scheme for Key-Value Store on Multiple Solid-State Drives Hwajung Kim, Heonyoung Yeom and Yongseok Son
14:50 - 15:10 Efficient Large-scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei and Hongchan Roh
15:10 - 15:30 High Performance Parallel KMP Algorithm on a Heterogeneous Architecture Myungho Lee Myongji University
15:30 - 16:00 Coffee Break
16:00 - 16:20 Effects of VM Placement Constraints in Heterogeneous Virtual Clusters Seontae Kim and Young-Ri Choi Ulsan National Institute of Science and Technology Jaehwan Lee
16:20 - 16:40 OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization Jeesoo Min, Hanul Sung and Hyeonsang Eom Seoul National University
16:40 - 17:00 Efficient Classification of Application Characteristics by using Hardware Performance Counters with Data Mining Jieun Choi, Geunchul Park and Dukyun Nam National Institute of Supercomputing and Networking, KISTI
17:00 - 17:20 Design of Skiplist based key-value store on non-volatile memory Qichen Chen and Heon Young Yeom Seoul National University
17:20 - 17:40 Toward An Adaptive Fair GPU Sharing Scheme in Container-based Clusters Jisun Oh, Seoyoung Kim and Yoonhee Kim Sookmyung Women's University
17:40 - 18:00 Closing Remarks