146 Avsnitt

  1. #85: Continuous Profiling: Where Have All the Cycles Gone?

    Publicerades: 2020-10-17

  2. #84: Profiling a warehouse-scale computer

    Publicerades: 2020-10-12

  3. #83: Dynamic Instrumentation of Production Systems

    Publicerades: 2020-10-08

  4. #82: Glass: A New Media for a New Era?

    Publicerades: 2020-10-05

  5. #81: gprof: a Call Graph Execution Profiler

    Publicerades: 2020-10-02

  6. #80.5

    Publicerades: 2020-09-25

  7. #80: TrueSkill™ Ranking System

    Publicerades: 2019-10-06

  8. #79: Adversarial Examples Are Not Bugs, They Are Features

    Publicerades: 2019-09-25

  9. #78: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    Publicerades: 2019-09-07

  10. #77: Orca: Differential Bug Localization in Large-Scale Services

    Publicerades: 2019-09-04

  11. #76: XPC: Architectural Support for Secure and Efficient Cross Process Call

    Publicerades: 2019-08-22

  12. #75: To Unify or Not to Unify: A Case Study on Unified Builds in WebKit

    Publicerades: 2019-08-20

  13. #74: FaceNet: A Unified Embedding for Face Recognition and Clustering

    Publicerades: 2019-08-17

  14. #73: Understanding Real-World Concurrency Bugs in Go

    Publicerades: 2019-08-13

  15. #72: How (and How Not) to Write a Good Systems Paper

    Publicerades: 2019-08-10

  16. #71: Machine Learning at Facebook: Understanding Inference at the Edge

    Publicerades: 2019-08-08

  17. #70: Reality Engine Graphics

    Publicerades: 2019-08-01

  18. #69: Bandana: Using Non-Volatile Memory for Storing Deep Learning Models

    Publicerades: 2019-07-30

  19. #68: Introduction to MCMC

    Publicerades: 2019-07-25

  20. #67: Towards Federated Learning at Scale: System Design

    Publicerades: 2019-07-22

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森田と向井がコンピュータサイエンス周辺の論文をなんとなく読んで感心する Podcast です。