Google Tech Talks February 6, 2009 ABSTRACT Over the last several decades computer architects have been phenomenally successful turning the transistor bounty provided by Moore's Law into chips with ever increasing single-threaded performance. During many of these successful years, however, many researchers paid scant attention to multiprocessor work. Now as vendors turn to multicore chips,
Google Tech Talks January, 15 2008 ABSTRACT MonetDB/X100 is a second-generation column-store prototyped at CWI, targeted at analysis-heavy data management tasks such as data warehousing and information retrieval. In this overview talk I will outline the research challenges, novel techniques and results from this project. The ideal is to close the existing performance gap between hand-coded appli
werkzeug German noun: "tool". Etymology: werk ("work"), zeug ("stuff") Werkzeug is a comprehensive WSGI web application library. It began as a simple collection of various utilities for WSGI applications and has become one of the most advanced WSGI utility libraries. Flask wraps Werkzeug, using it to handle the details of WSGI while providing more structure and patterns for defining powerful appli
()内は個人的に面白かった度 Google I/O 2008 http://sites.google.com/site/io/google-io-sessions Working with Google App Engine Models(☆☆)メモ Datastore/Bigtableのデータモデルとその制約などを紹介 Best Practices - Building a Production Quality Application on Google App Engine(☆) プロダクション開発でのログ、負荷テスト、バージョン管理等の重要さ Building Scalable Web Applications with Google App Engine(☆☆)メモ スケールするアプリの書き方について(entity groupの使い方) Under the Covers of th
Creating relatively simple applications that scale with App Engine can be easy after the initial learning curve. But larger applications with more complex functionality are still hard to get right, especially when you need to scale. This talk will go over more advanced data structures and techniques to use when building complex web applications with Google App Engine, and how to make them scale. T
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