KimAnt 🥦

KimAnt 🥦

  • SohyeonKim (365) N
    • ComputerScience (108) N
      • ProcessingInMemory (8) N
      • FaultTolerance (2)
      • OperatingSystem (21)
      • FreeBSD (23)
      • DesignPattern (1)
      • ComputerNetwork (12)
      • FullStackProgramming (17)
      • DockerKubernetes (16)
      • Database (5)
    • ArtificialIntelligence (72)
      • ECCV2024 (11)
      • WRTNCampusLeader (4)
      • PaperReading (14)
      • 2023GoogleMLBootcamp (33)
      • DeepLearning (10)
    • Programming (27)
      • Swift (17)
      • JAVA (3)
      • CodingTest (2)
      • Algorithms (5)
    • Experiences (37)
      • KIST Europe Internship (15)
      • Activities (8)
      • Competition (6)
      • International (7)
      • Startup (1)
    • iOS (41)
      • AppProject (10)
      • AppleDeveloperAcademy@POSTE.. (9)
      • CoreMLCreateML (8)
      • MC3Puhaha (4)
      • NC2Textinit (10)
      • MACSpaceOver (0)
    • GitHub (5)
    • UniversityMakeUsChallenge (23)
      • UMCActivities (3)
      • UMCiOS (12)
      • UMCServer (7)
      • BonheurAppProject (1)
    • Science (33)
      • 2022GWNRSummer (13)
      • 2023GWNRWinter (8)
      • 2024GWNRWinter (2)
      • Biology (6)
    • Etc (16)
      • StudyPlanner (13)
  • 홈
  • 태그
  • 방명록
RSS 피드
로그인
로그아웃 글쓰기 관리

KimAnt 🥦

컨텐츠 검색

태그

OS ios process server kernel swift 수치상대론 biohybrid Apple docker CPU Google AI umc 3D PRINTING 중력파 딥러닝 app Container Programming

최근글

댓글

공지사항

아카이브

wram(2)

  • [PIM] PIM-Rec Design

    2025. 05. 20. 화요일 Paper: https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0435518 Offloading embedding lookups to processing-in-memory for deep learning recommender modelsRecommender systems are an essential part of many industries and businesses. Generating accurate recommendations is critical for user engagement and business revenue. Currently, deep learning recomme..

    2025.05.20
  • [PIM] Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture

    2024. 05. 17. FridayBenchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory SystemMany modern workloads, such as neural networks, databases, and graph processing, are fundamentally memory-bound. For such workloads, the data movement between main memory ..

    2024.05.17
이전
1
다음
Git-hub Linked-in
© 2018 TISTORY. All rights reserved.

티스토리툴바