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  New Linux kernel fixes power-saving issues

Greg Kroah-Hartman has released long-term kernel 3.0.20 and stable kernel 3.2.5. Both contain just a single bug fix that allows PCIe power-saving technology ASPM (Active State Power Management) to be used on systems with a BIOS that activates ASPM on some components, but states in the FADT (Fixed ACPI Description Table) consulted by Linux that ASPM is not supported. According to Matthew Garrett, who developed the patch, the change can reduce the power consumption of a Thinkpad X220 by 5&nbs...

   Linux kernel,Power saving,Fix     2012-02-08 10:10:36

  Three things you should never put in your database

As I've said in a few talks, the best way to improve your systems is by first not doing "dumb things". I don't mean you or your development staff is "dumb", it's easy to overlook the implications of these types of decisions and not realize how bad they are for maintainability let alone scaling. As a consultant I see this stuff all of the time and I have yet to ever see it work out well for anyone. Images, files, and binary data Your database supports BLOBs so it must be a good idea to shove ...

   Database,BLOB,Log,Image     2012-05-02 04:44:25

  Macro vs. Micro Optimisation

So there's recently been a bit of hype about another Colebourne article: http://blog.joda.org/2011/11/real-life-scala-feedback-from-yammer.html I'd like to respond to a few points he makes. First - You should evaluate Scala and pay attention to its benefits and flaws before adopting it.  Yes, there are flaws to Scala.   Working at typesafe makes you more aware of some of them.  We're actively working to reduce/minimize/get rid of these.   In my opinion, the negat...

   Optimization,Performance,Micro,Macro,Software     2011-11-30 12:04:25

  True Scala complexity

Update 2: Sorry for the downtime. Leave it to the distributed systems guy to make his blog unavailable. Nginx saves the day.It’s always frustrating reading rants about Scala because they never articulate the actual complexities in the core language.Understandable—this post is intended fill that gap, and it wasn’t exactly easy to put together. But there’s been so much resistance to the very thought that the complexity exists at all, even from on up high, that I thou...

   Scala,Complexity     2012-01-10 07:17:07

  Python threads: communication and stopping

A very common doubt developers new to Python have is how to use its threads correctly. Specifically, a large amount of questions on StackOverflow show that people struggle most with two aspects: How to stop / kill a threadHow to safely pass data to a thread and back I already have a blog post touching on these issues right here, but I feel it’s too task-specific for sockets, and a more basic and general post would be appropriate. I assume the reader has a basic familiarity with Pytho...

   Python,Multithreading,Communication,Synchronize     2011-12-28 07:38:32

  The Reality

Everyone loves to talk about benchmarks. AMD’s Andy Parma recently wrote a blog that covers the top performance scores for the AMD Opteronâ„¢ 6200 Series processors. As marketing professionals, of course that’s what we talk about. What’s important to look at is the reality as well – what customers are actually purchasing. When you drive past car dealership, you’ll always see the fancy red sports car prominently displayed. It draws people in â€...

   AMD,Intel,Comparison,AMD vs Intel processor,artitecture     2011-11-15 08:33:58

  Efficiency of code execution

If you want to optimize your program codes, you need to find their Hotspot, i.e, the codes which are executed most frequently. If you can optimize this portion of codes a bit, you may gain much improvement of your code efficiency. Here I give you three examples about efficiency of code execution.1. PHP's Getter and Setter (From Reddit)This example a quite simple, you can skip it if you want.Consider the code below, we can find it's slower when we use Getter/Setter method to read a member variabl...

   Code, Efficiency,Analysis,Trick     2012-07-13 10:59:21

  The trap of the performance sweet spot

This post is about JavaScript performance but I would like to start it by telling a story that might seem unrelated to JS. Please bear with me if you don’t like C.A story of a C programmer writing JavaScriptMr. C. is a C programmer as you can probably guess from his name. Today he was asked by his boss to write a very simple function: given an array of numbered 2d points calculate vector sum of all even numbered points... He opens his favorite text editor and quickly types somet...

   C,JavaScript,Sweet spot,Memory,Low level,Trap     2011-11-06 14:45:01

  Understand GoLang WaitGroup internals and how it works

Background Before getting into the main content, let me give a brief introduction to WaitGroup and its related background knowledge. Here, the focus is on the basic usage of WaitGroup and the fundamental knowledge of system semaphores. For those who are familiar with these, you can skip this section directly. WaitGroup WaitGroup is one of the most common concurrency control techniques in Golang, and its function can be roughly compared to the join() in concurrency control of other languages' mul...

   GOLANG,WAITGROUP,SOURCE CODE     2023-04-26 08:02:01

  Is Scala Only for Computer Scientists?

I have experience struggling through these kinds of things andI know enough about the subject that I can understand why they did it that way. But my concern is that this should be an example that a beginner could understand, and they can't. There's too much depth exposed. Here's the example, which is written as a script: import scala.io.Source._ case class Registrant(line: String) { val data = line.split(",") val first = data(0) val last = data(1) val email = data(2) val payment = da...

   Scala,Application field,Computer science     2012-02-17 07:46:40

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