BigLake: Unify data lakes & data warehouses | Google Cloud
Google is named a leader in The Forrester Waveâ„¢: Data Lakehouses Q2 2024 report. BigLake is a storage engine that provides a unified interface for analytics and AI engines to query multiformat, multicloud, and multimodal data in a secure, governed, and performant manner. Build a single-copy AI lakehouse designed to reduce management of and need for custom data infrastructure.
ARMing A Breadboard — Everyone Should Program An ARM
I’m always a little surprised that we don’t see more ARM-based projects. Of course, we do see some, but the volume isn’t what I’d expect given that low-level ARM chips are cheap, capable, low power, and readily available. Having a 32-bit processor with lots of memory running at 40 or 50 MIPS is a game changer compared to, say, a traditional Arduino (and, yes, the Arduino Due and Zero are ARM-based
Why Intel added cache partitioning
Typical server utilization is between 10% and 50%. Google has demonstrated 90% utilization without impacting latency SLAs. Xkcd estimated that Google owns 2 million machines. If you estimate an amortized total cost of $4k per machine per year, that's $8 billion per year. With numbers like that, even small improvements have a large impact, and this isn't a small improvement. How is it possible to g
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IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, VOL. 23, NO. 4, APRIL 2015 723 Per-Core DVFS With Switched-Capacitor Converters for Energy Efficiency in Manycore Processors Ruzica JevticÌ, Member, IEEE, Hanh-Phuc Le, Member, IEEE, Milovan BlagojevicÌ, Member, IEEE, Stevo Bailey, Student Member, IEEE, Krste AsanovicÌ, Fellow, IEEE, Elad Alon, Senior Member, IEEE, and Borivoje Niko
AWS Lambda を計算リソースã¨ã—ã¦ä½¿ã† - ã„ã‚‚ã™ç ” (imos laboratory)
Amazon EC2 㯠1 時間å˜ä½ï¼ŒGoogle Compute Engine ã‚‚ 10 分å˜ä½ã§ã—ã‹å€Ÿã‚Šã‚‰ã‚Œãšï¼Œè©¦è¡ŒéŒ¯èª¤ã—ãªãŒã‚‰ãƒ—ãƒã‚°ãƒ©ãƒ を書ã„ã¦ã„る時ã«è¨ˆç®—リソースを使ã„切るã“ã¨ã¯å›°é›£ã§ã™ï¼Žãã“㧠100 ミリ秒å˜ä½ã§ä½¿ãˆã‚‹ AWS Lambda を計算リソースã¨ã—ã¦ä½¿ã£ã¦ã¿ã¾ã—ãŸï¼Ž AWS Lambda ã¯è¡¨å‘ã㯠Node.js ã‚ã‚‹ã„㯠Java ãŒä½¿ãˆã‚‹ã¨æ›¸ã‹ã‚Œã¦ã„ã¾ã™ãŒï¼Œå®Ÿéš›ã«ã¯æœ€è¿‘æµè¡Œã‚Šã®ã‚³ãƒ³ãƒ†ãƒŠæŠ€è¡“を使ã£ã¦ãŠã‚Šè¨€èªžãƒ¬ãƒ™ãƒ«ã§ã®åˆ¶é™ã¯ã‹ã‘られã¦ãŠã‚‰ãšï¼Œexec 関数を呼ã³å‡ºã™ã“ã¨ã«ã‚ˆã‚Šï¼ˆé™çš„リンクã•ã‚Œã¦ã„ã‚Œã°ï¼‰ä»»æ„ã®ãƒã‚¤ãƒŠãƒªã‚’実行ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ï¼Žãã“㧠C++ ã§æ›¸ã‹ã‚ŒãŸãƒ—ãƒã‚°ãƒ©ãƒ を実行ã™ã‚‹æ–¹æ³•ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ï¼Ž Linux 上㧠x86-64 å‘ã‘ã«ã‚³ãƒ³ãƒ‘イル・é™çš„リンクã•ã‚ŒãŸãƒã‚¤ãƒŠãƒªãŒã‚ã‚Œã°ï¼Œãれを AWS Lambda 上ã§å®Ÿè¡Œã™ã‚‹ã“ã¨ã¯ç°¡å˜ã«ã§ãã¾ã™ï¼Žã‚³ãƒ³ãƒ‘
PRINCIPLES OF CHAOS ENGINEERING - Principles of chaos engineering
PRINCIPLES OF CHAOS ENGINEERING Last Update: 2019 March (changes) Chaos Engineering is the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production. Advances in large-scale, distributed software systems are changing the game for software engineering. As an industry, we are quick to adopt practices that increase
Medium
You can find (just about) anything on Medium — apparently even a page that doesn’t exist. Maybe these stories will take you somewhere new?
A Decade at Google – ACM SIGMOD Blog
I recently celebrated my 10th anniversary at Google and decided to take the opportunity to share some of my reflections on the past decade. Prior to joining Google, I was on the faculty of the Department of Computer Science and Engineering at the University of Washington, where I founded the database research group that is thriving today even more than it did a decade ago. During my tenure at UW I
Python Programming Language – Official Website
# Python 3: Fibonacci series up to n >>> def fib(n): >>> a, b = 0, 1 >>> while a < n: >>> print(a, end=' ') >>> a, b = b, a+b >>> print() >>> fib(1000) 0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 Functions Defined The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. More about defining f
Dask — Dask documentation
Dask is a Python library for parallel and distributed computing. Dask is: Easy to use and set up (it’s just a Python library) Powerful at providing scale, and unlocking complex algorithms and Fun 🎉 How to Use Dask¶ Dask provides several APIs. Choose one that works best for you: Dask Futures parallelize arbitrary for-loop style Python code, providing: Flexible tooling allowing you to construct cus
What I Wish I Knew When Learning Haskell
What I Wish I Knew When Learning Haskell Version 2.5 Version This is the fifth major draft of this document since 2009. HTML Version Screen PDF Printable PDF EPUB Version Kindle Version Pull requests are always accepted for changes and additional content. This is a living document. The only way this document will stay up to date is through the kindness of readers like you and community patches and
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Code Review Etiquette For The Modern Developer
All You Need to Know about Vector Databases and How to Use Them to Augment Your LLM Apps
GitHub - GetPublii/Publii: The most intuitive Static Site CMS designed for SEO-optimized and privacy-focused websites.
A Computational Introduction to Number Theory and Algebra (Version 2)
http://u.cs.biu.ac.il/~yogo/nnlp.pdf
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Domain error
Iterators++, Part 1
Meeting C++
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