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cassandravoiton

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Thirty something geekette

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nerds-central.blogspot.co.uk 13y ago

Secretes Of Profiling Java

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Dev Partner Java - Profiling JRuby - Welcome To The Future

cassandravoiton
1pts0
nerds-central.blogspot.co.uk 13y ago

Using Samba For Windows/Linux Hg/Git Repo's

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Fast Serialization Memory Management In Java

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Immutability - The Key To Caching

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Very Fast Sin Function In Java

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1pts0
nerds-central.blogspot.com 13y ago

Can A Mac Book Pro Retina 15 Battery Last A Full Day?

cassandravoiton
1pts0
nerds-central.blogspot.co.uk 13y ago

Java: Swap Based Memory Management

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1pts0
nerds-central.blogspot.com 13y ago

General Electric Take Java/Invokedynamic to another level

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1pts0
nerds-central.blogspot.com 13y ago

TIOBE Dropped A Massive Clanger - Java is still Number 1

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Windows 8, Virtual Box Host On Macbook Pro Retina Host - First Look

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Link HTML5 Audio Tag To Canvas Vilualisation

cassandravoiton
2pts0
nerds-central.blogspot.com 13y ago

Redhat/Micro Focus/JBoss And COBOL - 4 in a bed?

cassandravoiton
2pts2
nerds-central.blogspot.com 13y ago

HTML5: Amazing Visual Animation Effects

cassandravoiton
4pts0
nerds-central.blogspot.co.uk 13y ago

Perforce Embraces GIT - And Why It Matters

cassandravoiton
1pts0
nerds-central.blogspot.com 13y ago

Can You Overheat A Macbook Pro Retina?

cassandravoiton
2pts0
nerds-central.blogspot.com 14y ago

Java Long Loops Block Threads, JVM Performance Death

cassandravoiton
2pts1
nerds-central.blogspot.co.uk 14y ago

C++11: Future Chaining For Easy, Highly Threaded Execution

cassandravoiton
3pts0
nerds-central.blogspot.com 14y ago

Video Review Of Haiku OS

cassandravoiton
1pts1
nerds-central.blogspot.com 14y ago

Scala Less Popular Than COBOL: Programming In The Real World

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24pts24
youtu.be 14y ago

Review: The C++ Standard Library Second Edition

cassandravoiton
1pts0
nerds-central.blogspot.com 14y ago

Steve Jobs: Good Programmers Are Very Cheap

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4pts2
nerds-central.blogspot.com 15y ago

Databases: The Einstein Hypothesis - Distributed Transactions Cannot Exist

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28pts29
nerds-central.blogspot.com 15y ago

Linux Uptake Is Getting Serious; Windows Struggles To Keep Up

cassandravoiton
14pts6
nerds-central.blogspot.com 15y ago

Java, JVM, JNI and Signal Handling Explained In Simple Terms

cassandravoiton
26pts3

There is already a lot of mainframe offload. It seems that the middle range of mips is the sweet spot. Taking advantage of the services systems like JBOSS gives is, quite possibly, the last piece in the puzzel.

Whilst I agree with the point that Linux UIs are not great - that has nothing what so ever to do with Linux. Linux knows nothing about the UI layer which is all X11. There is no need to replace the OS to get a better UI.

You have not been looking at scientific computing. Matlab is more something people used for comp-sci of math. If it was not FORTRAN then it was not scientific computing.

You shoot down our own argument. The video suggest C# and Java as alternatives to interpreted languages. By picking C you are deliberately trying to make your argument sound stronger than it is. The video also mentions the economic cost.

From an economics point of view you are just wrong. Because of the vast numbers of computers used in 'scale out' architectures the impact of code efficiency is enormously bigger than the cost of developers. If a developer's code runs on 10 or 100 machines then you are correct. But modern software runs on hundreds or even hundreds of thousand machines.

The page below shows the media peformance of Python (the fastest in these of PHP/Ruby/Python) as 49.73 times slower than the fastest compiled language. The seems pretty much between 10 and 100 to me.

http://shootout.alioth.debian.org/u64q/which-programming-lan...

 	compare 2	 |-	 |---	 25%	median	 75%	 ---|	 -|
Fortran Intel 1.00 1.00 1.00 1.01 1.35 1.87 7.84 C GNU gcc 1.00 1.00 1.01 1.21 1.55 2.36 4.97 C++ GNU g++ 1.00 1.00 1.10 1.26 1.68 2.28 2.28 ATS 1.00 1.00 1.24 1.45 2.30 3.90 7.24 Ada 2005 GNAT 1.04 1.04 1.22 1.51 1.84 2.76 4.81 Java 7 -server 1.40 1.40 1.59 1.90 2.14 2.97 4.76 Scala 1.38 1.38 1.90 2.76 3.43 5.72 10.21 Haskell GHC 1.53 1.53 2.60 2.80 4.36 7.00 15.15 Go 1.29 1.29 2.12 2.85 6.90 14.08 24.05 C# Mono 1.60 1.60 2.62 3.08 7.12 13.88 14.21 Lisp SBCL 1.12 1.12 1.81 3.40 4.24 7.89 11.20 OCaml 1.18 1.18 1.76 3.75 4.87 9.24 9.24 Pascal Free Pascal 1.53 1.53 2.47 4.37 7.49 15.03 24.20 Clojure 2.02 2.02 3.50 4.99 8.44 14.81 14.81 F# Mono 2.97 2.97 3.16 5.33 8.92 17.57 37.80 Racket 1.22 1.22 5.06 6.86 11.04 19.99 59.08 Erlang HiPE 5.17 5.17 7.99 10.79 15.44 26.61 41.54 Erlang 5.40 5.40 14.20 22.73 30.09 53.91 218.10 Python 3 1.22 1.22 9.25 49.73 68.86 131.37 131.37 PHP 1.90 1.90 10.29 50.17 83.42 193.10 260.90 Ruby 1.9 4.67 4.67 11.74 53.29 101.33 235.71 356.61 Ruby JRuby 5.75 5.75 26.67 58.81 115.06 247.65 266.51 Perl 4.00 4.00 22.61 103.29 126.82 225.35 225.35

There are plenty of bench marks showing 10 to 100 times is in the ball part. Computers use masses of power because there are so many of them. As they get more efficient, their numbers increase. The benefit of using faster languages is constant irrespective of the efficiency of the machine on which it is running. How can wasting energy be OK? Even if you don't think it has climate change effects, it has economic and energy security effects - non of them good.

But is that not the point of the post - that all the 'easy and cheep' comes at a huge cost to be planet and eventually to the company. Are C# and Java really that much harder to learn and use?

Actaully - they don't. I spent some time working with Oracle at a major installation where they could not come up with a good enough transactional fail secarios because a single mainframe was being replaced by a multiple DB node distributed system.

Oddly - the project failed...

Just because a large company says they do something - does not mean they actually do. Distributed Transcation as said by RDBMS companies actually is 'Distributed as long as nothing goes wrong'.

Yes, I did read it... "

In practice, it is not di±cult to construct an algorithm that, except dur- ing rare periods of network instability, selects a suitable unique leader among a majority of nonfaulty acceptors. Transient failure of the leader-selection algorithm is harmless, violating neither safety nor eventual progress. One algorithm for leader selection is presented by Aguilera et al. [1] "

" The algorithm satisfies Stability because once an RM receives a decision from a leader, it never changes its view of what value has been chosen "

Fundamentally, the idea is that the leader is the transactional arbitrator using the RM as the recorder of that transaction.

You, sorry to say, utterly incorrect. The Paxos algorithm offers a clever way to making the choise of a single transactional arbitrator dynamic. For each transaction, it might be different, but for a single transcation, Paxos is only stable if the transactional co-ordinator is stable. if the network fails then an unknow state can be achieved and the entire system will have to restabalize to the values held in the single co-ordinator for the broken transaction.

Hiya, I went and looked this up for you:

" Intel segmented memory

This usage should not be confused with that of the x86 memory segmentation used by early Intel processors such as the Intel 8086 and Intel 8088, as they did not provide any protection. Any program could access any segment with no restrictions, and a segment consisted of only a starting location and a fixed length of 64 KiB. Segmentation in the Intel 80286 and later provided protection. "

I think Dr Turner's description of segments is a bit rough and ready; I guess he was just trying to make the post simple.