Difference between revisions of "AMGCC19 Program"

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(Accepted Papers | Workshop Main Page)
(Accepted Papers | Workshop Main Page)
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* Sunggon Kim, Donghwan Kim, Hyeonsang Eom and Yongseok Son, "Towards Predicting GPGPU Performance for Concurrent Workloads"
 
* 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''
+
* 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''
+
* 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
+
* 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''
+
* 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''
+
* 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''
+
* 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''
+
* Saima Majeed, Ammar Ul Hassan and Jaeyoung Choi, "TeX Bitmap Font Module for FreeType Rasterizer"

Revision as of 13:16, 1 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"