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#54 – Tales of the Tail

時々おこって困る性能問題 tail latency について森田が愚痴ります。

時々おこって困る性能問題 tail latency について森田が愚痴ります。感想などはハッシュタグ #misreading か hello@misreading.chat にお寄せください。

https://misreadingchat.files.wordpress.com/2019/03/ep54.mp3
  • The Tail at Scale
  • Tales of the Tail: Hardware, OS, and Application-level Sources of Tail Latency
  • Two Billion Devices and Counting
  • Velocity 2011: John Rauser, “Look at Your Data” – YouTube

 

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投稿者 Hajime Morrita投稿日: 2019-03-272019-08-01カテゴリー episodes

投稿ナビゲーション

前 過去の投稿: #53 – BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
次 次の投稿: #55 – Functional Reactive Programming from First Principles

Backnumbers

  • #93: SEQUEL: A structured English query language
  • #92: Software Development Waste
  • #91: Serverless in the Wild
  • #90: Evaluation of splittable pseudo-random generators
  • #89: Conflict-free Replicated Data Types
  • #88: A History of Haskell: being lazy with class
  • #87: From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers
  • #86: JavaScript: the first 20 years
  • #85: Continuous Profiling: Where Have All the Cycles Gone?
  • #84: Profiling a warehouse-scale computer
  • #83: Dynamic Instrumentation of Production Systems
  • #82: Glass: A New Media for a New Era?
  • #81: gprof: a Call Graph Execution Profiler
  • #80.5
  • #80: TrueSkill™ Ranking System
  • #79: Adversarial Examples Are Not Bugs, They Are Features
  • #78: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  • #77: Orca: Differential Bug Localization in Large-Scale Services
  • #76: XPC: Architectural Support for Secure and Efficient Cross Process Call
  • #75: To Unify or Not to Unify: A Case Study on Unified Builds in WebKit
  • #74: FaceNet: A Unified Embedding for Face Recognition and Clustering
  • #73: Understanding Real-World Concurrency Bugs in Go
  • #72: How (and How Not) to Write a Good Systems Paper
  • #71: Machine Learning at Facebook: Understanding Inference at the Edge
  • #70: Reality Engine Graphics
  • #69: Bandana: Using Non-Volatile Memory for Storing Deep Learning Models
  • #68: Introduction to MCMC
  • #67: Towards Federated Learning at Scale: System Design
  • #66: The Rendering Equation
  • #65: Communication-Efficient Learning of Deep Networks from Decentralized Data
  • #64: Automating Chaos Experiments in Production
  • #63: Programming with Algebraic Effects and Handlers
  • #62 – A History Of Erlang
  • #61 – Spectre is Here to Stay
  • #60 – XGBoost: A Scalable Tree Boosting System
  • #59 – Do Developers Learn New Tools On The Toilet?
  • #58 – Gradient Boosting Decision Trees
  • #57 – Asynchronous Functional Reactive Programming for GUIs
  • #56 – Cloud Programming Simplified
  • #55 – Functional Reactive Programming from First Principles
  • #54 – Tales of the Tail
  • #53 – BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • #52 – Convolutional Color Constancy
  • #51 – Attention Is All You Need
  • #50 – Geodesic Discrete Global Grid Systems
  • #49 – Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code
  • #48 – Real-time Personalization using Embeddings for Search Ranking at Airbnb
  • #47 – Engineering the Servo Web Browser Engine using Rust
  • #46 – An Introduction to Neural Information Retrieval
  • #45 – Why Amazon Chose TLA +
  • #44 – Firecracker
  • #43 – Capsicum: practical capabilities for UNIX
  • #42 – kvm: the Linux Virtual Machine Monitor
  • #41 – IDRIS — Systems Programming Meets Full Dependent Types
  • #40
  • #39 – Service Fabric: A Distributed Platform for Building Microservices in the Cloud
  • #38 – Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
  • #37 – Synthetic Depth-of-Field with a Single-Camera Mobile Phone
  • #36 – BLeak: Automatically Debugging Memory Leaks in Web Applications
  • #35 – Darkroom: Compiling High-Level Image Processing Code into Hardware Pipelines
  • #34 – Trust and Protection in the Illinois Browser Operating System
  • #33 – Distinctive Image Features from Scale-Invariant Keypoints
  • #32 – Isolating Web Programs in Modern Browser Architectures
  • #31 – Big.Little
  • #30 – AddressSanitizer: A Fast Address Sanity Checker
  • #29 – Image Analogies and Image Style Transfer
  • #28 – Left-leaning Red-Black Trees
  • #27 – Julia: A Fresh Approach to Numerical Computing
  • #26 – Mixed Messages: Measuring Conformance and Non-Interference in TypeScript
  • #25 – Burst photography for high dynamic range and low-light imaging on mobile cameras
  • #24 – EMME: A Formal Tool for ECMAScript Memory Model Evaluation
  • #23 – Halide: Decoupling Algorithms from Schedules for High-Performance Image Processing
  • #22 – Bringing the Web up to Speed with WebAssembly
  • #21 – The Frankencamera
  • #20 – The Design and Implementation of Hyperupcalls
  • #19 – Light Field Rendering
  • #18 – Exploiting the DRAM Rowhammer Bug to Gain Kernel Privileges
  • #17 – Unikernels: Library Operating Systems for the Cloud
  • #16 – A Deep Learning Approach for Generalized Speech Animation
  • #15 – Neural Machine Translation by Jointly Learning to Align and Translate
  • #14 – LevelDB
  • #13 – HyperLogLog in Practice
  • #12 – Semantics and Complexity of GraphQL
  • PyTorch, Chainer and Forking
  • #11 – The Story in the Notebook
  • #10 – Deep Probabilistic Programming
  • #09 – Automatic Differentiation in Machine Learning: a Survey
  • #08 – Generative Adversarial Nets
  • Notes on Episode 07
  • #07 – One VM to Rule Them All
  • #06 – CloudBuild: Microsoft’s Distributed and Caching Build Service
  • #05: Agile CPU / Versioned Golang
  • #04: Filesystem on NVM / Self-Driving Car on Dessert
  • #03: New Grads Struggle / Data Scientists Strive
  • #02: Android Intent / GPU Raytracer
  • #01: Tensor Comprehensions, Rust Belt
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