Twenty Years There are twenty years to go
And twenty ways to know
Who'll wear, who'll wear the hat
There are twenty years to go
The best of all I hope
Enjoy the ride
The medicine show
Thems the breaks
For we designer fakes
We need to concentrate on more than meets the eye
There are twenty years to go
The faithful and the low
The best of starts, the broken heart, the stone
There are twenty years to go
The punch drunk and the blow
The worst of starts, the mercy part, the phone
And thems the breaks
For we designer fakes
We need to concentrate on more than meets the eye
Thems the breaks
For we designer fakes
But it's you i take, cause you're the truth, not I
There are twenty years to go
A golden age I know
But all will pass will end too fast you know
There are twenty years to go
And many friends I hope
Though some may hold the rose
Some hold the rope
That's the end - and that's the start of it
That's the whole - and that's the part of it
That's the hide - and that's the heart of it
That's the long - and that's the short of it
That's the best - and that's the test in it
That's the doubt - the doubt, the trust in it
That's the sight - and that's the sound of it
That's the gift - and that's the trick in it
You're the truth, not I, you're the truth, not I
You're the truth, not I, you're the truth, not I
You're the truth, not I, you're the truth, not I
You're the truth, not I, You're the truth, not I.
Posted by Hoang at 09:06 PM
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Music
Python on Multi-CoreI just attended a session at SD2008 on parallelism put on by an Intel engineer this week.The topic was on increasing executable performance by utilizing threading and Intel's Threading Building Blocks (TBB) library. TBB offers some Template style constructs to easily utilize the CPU's multiple cores. Unfortunately, Intel's focus is on C++ and Fortran (statically typed languages). Pondering over execution speed, I was just thinking that Python programs could sure use a bump. Does anyone know whether Python 2.5 or IronPython makes use of the parallel nature of the newer multi-core processors when threading is used? What about utilizing the multi-core even on single threaded programs?
After jotting this down, I did a search to see if anyone else has posed the same question. These are what I found:
I had done some embedding of the Python interpreter into a C++ executable before and had to learn about the GIL. Apparently Python simulates multithreading by allowing each of its threads to obtain the Global Interpreter Lock. Each thread grabs the lock and runs its allotted time while blocking all other threads. From the OS point-of-view, this is still a single thread being time-shared. Adding CPUs won't help performance because only 1 will be utilized while all others are idle.
Anyone have further thoughts or links to share on this topic?
Posted by Hoang at 07:21 PM
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OS and Frameworks
, Python Programming
, Software Development
some past-time readingsGeneral
Technology Related
Python Related
Posted by Hoang at 01:03 PM
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