Hi
If any use: I have commonly used the C/C++ and Java threaded code to create
parallel processes. Python threading is badly implemented and best avoided,
use sub-processes instead as these are forked.
1) CPU intensive code with no dependency scales close to N where N <
cores available,
for al
I agree with George and Marcin that getting significant speedups is a
non-trivial business. Unfortunately as CPU clock speeds drop, to
become more energy efficient, the only way to keep performance up
is to work in parallel. Accelerator technology and Hadoop make
many-core environments more acc
Adapting programs to make optimal use of modern multicore chips is
non-trivial and depends very much on the algorithms employed,
there is no magic bullet. First one needs to understand Amdahl's law.
Assume we have a chip with four cores such as the widely used
Intel i7, amd the program consists o
On Tue, Dec 17, 2013 at 03:32:52PM +, Adam Ralph wrote:
> Dear Chang,
>
> Some CCP4 progs can be used with a multi-core machine,
> using OpenMP threads (including refmac it would appear). You will
I think only phaser and aimless.
Of course using 4 cores doesn't mean running 4 times fas
Dear Chang,
Some CCP4 progs can be used with a multi-core machine,
using OpenMP threads (including refmac it would appear). You will
need to compile the code from source rather than taking the binary
versions, which is much less convenient.
Even if the CCP4 apps are not parallel thems
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Dear Chang,
some time back people would benefit from the computational time (or
e.g. data collection time) to get a coffee, lean back and think about
what was going on - this was often very efficient and not rarely more
effective than the false percep
Dear Tim
Yes, it is just my impression. I don't know how to test it. As now most of
computers have multi-core CPU, I really hope CCP4 programs can be paralleled.
Thank you so much for answering my questions.
All my best
Chang
2013/12/17 Tim Gruene
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Dear Chang,
Without being aware of the various means to parallelise a computer
program I would be surprised if refmac5 was parallelised for MacOSX
but not for Linux, although I am sure Garib would correct me if I was
wrong. Maybe you only have the imp
Thanks so much. XDS program is a very good example for multi-core cpu
processing. I love it. I also have a macbook. Though a notebook, it often
runs CCP4 program more quickly than on desktop computer. The programs, for
example refmac5, seem to use multi-core on OSX and single core on linux. Is
that
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Dear Chang,
this is hardly a matter of configuration but a question of programming
(meaning you cannot change it unless you modify the source code and
recompile). You can run a program of which you know it is
parallelised, e.g. XDS, shelxl, shelxd, an
Dear Chang,
As far as I know, most CCP4 programs are single-CPU and would need
extensive changes to make them patallel. Examples of
multiple-CPU programs are XDS, SHELXD, SHELXL and (in part) PHASER.
Best wishes, George
On 12/17/2013 06:51 AM, Chang Qing wrote:
Dear all
I just installed CCP
Dear all
I just installed CCP4 6.4 on Ubuntu 12.1. The program can work. I found it
just used 1 processor instead of 4( Intel i5) for data solving. Does anyone
know how to config CPU so that all processors can be used.
Thanks
Chang
Dear all
I just installed CCP4 6.4 on Ubuntu 12.1. The program can work. I found it
just used 1 processor instead of 4( Intel i5) for data solving. Does anyone
know how to config CPU so that all processors can be used.
Thanks
Chang
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