19HS5700, Development of HPC System for Accelerating Large-scale Deep Learning,
Choi Wan
Abstract
◦ 연구목표 다중 노드 상에서 딥러닝 트레이닝 고속 처리를 위한 계산/통신 가속 FPGA 기반으로 딥러닝 분산 프레임워크를 최적화한 HPC 시스템 개발
◦ 주요연구성과 - 딥러닝 트레이닝 특화형 통신 가속기술 개발 - 딥러닝 인퍼런스 특화형 계산 가속기술 개발 - 딥러닝 분산처리 플랫폼 기술 개발 - 딥러닝 HPC 플랫폼 서비스 기술 개발 - 딥러닝 HPC 클라우드 서비스 플랫폼 기술 개발
◦ 최종결과물 - 분산 시스템간 공유 메모리 장치 및 접속 카드(HW) - 딥러닝 인퍼런스 가속을 위한 Dual-FPGA 가속기 카드(HW) - 공유 메모리 버퍼 프레임워크 및 분산 딥러닝 플랫폼(SW) - DL-MDL 엔진 및 딥러닝 HPC 플랫폼 서비스 대시보드(SW) - 딥러닝 HPC 클라우드 서비스 엔진 및 대시보드(SW)
◦ 논문/특허 - 특허: 출원 22건(국제 4건, 국내 18건) - 논문: 논문게재 및 발표 32편(SCIE급 7편)
◦ 기술이전: 5건(기술료 총 106,400 천원)
◦ 상용화: 7건(상용화 매출 총 336,200 천원)
(출처 : 요약서 4p)
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