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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。

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#97: Using Lightweight Formal Methods to Validate a Key-Value Storage Node in Amazon S3

2022-08-23 14:24

#96: Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service

2022-07-30 05:48

#95: CockroachDB: The Resilient Geo-Distributed SQL Database

2022-07-10 13:38

#94: Mesos: A Platform for Fine-Grained Resource Sharing in the Data Cente

2022-06-02 12:27

#93: SEQUEL: A structured English query language

2022-05-25 12:35

#92: Software Development Waste

2022-05-13 13:07

#91: Serverless in the Wild

2021-01-26 23:18

#90: Evaluation of splittable pseudo-random generators

2021-01-19 23:10

#89: Conflict-free Replicated Data Types

2020-11-01 07:00

#88: A History of Haskell: being lazy with class

2020-10-28 07:00

#87: From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers

2020-10-20 07:33

#86: JavaScript: the first 20 years

2020-10-20 07:00

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

2020-10-17 13:55

#84: Profiling a warehouse-scale computer

2020-10-13 07:00

#83: Dynamic Instrumentation of Production Systems

2020-10-08 19:00

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

2020-10-05 19:00

#81: gprof: a Call Graph Execution Profiler

2020-10-02 19:00

#80.5

2020-09-26 02:22

#80: TrueSkill™ Ranking System

2019-10-07 07:40

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

2019-09-25 13:16

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

2019-09-07 23:41

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

2019-09-04 15:36

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

2019-08-22 21:59

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

2019-08-20 14:44

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

2019-08-17 22:49

#73: Understanding Real-World Concurrency Bugs in Go

2019-08-13 13:56

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

2019-08-11 05:36

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

2019-08-08 13:10

#70: Reality Engine Graphics

2019-08-02 08:49

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

2019-07-30 13:51

#68: Introduction to MCMC

2019-07-26 02:42

#67: Towards Federated Learning at Scale: System Design

2019-07-22 14:59

#66: The Rendering Equation

2019-07-17 21:00

#65: Communication-Efficient Learning of Deep Networks from Decentralized Data

2019-07-14 15:21

#64: Automating Chaos Experiments in Production

2019-07-10 04:14

#63: Programming with Algebraic Effects and Handlers

2019-06-24 15:46

#62 – A History Of Erlang

2019-06-20 07:31

#61 – Spectre is Here to Stay

2019-06-14 14:48

#60 – XGBoost: A Scalable Tree Boosting System

2019-04-25 05:00

#59 – Do Developers Learn New Tools On The Toilet?

2019-04-19 05:04

#58 – Gradient Boosting Decision Trees

2019-04-12 07:00

#57 – Asynchronous Functional Reactive Programming for GUIs

2019-04-09 12:23

#56 – Cloud Programming Simplified

2019-04-05 06:00

#55 – Functional Reactive Programming from First Principles

2019-03-30 02:13

#54 – Tales of the Tail

2019-03-28 09:14

#53 – BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

2019-03-21 11:17

#52 – Convolutional Color Constancy

2019-03-08 06:00

#51 – Attention Is All You Need

2019-03-01 12:29