Ashish Kulkarni wrote:
> Hin-Tak Leung wrote:
>> It might be interesting to know get some details on your hardware.
>>
>
> It's a P4 2.66GHz with a standard Intel motherboard having 1GB RAM.
>
That figures - I am on an opteron 2.2GHz on x86_64 linux with the
same amount memory, and running R in
On 1/25/2007 6:32 AM, Ashish Kulkarni wrote:
> Hello,
>
> R version 2.4.1 (2006-12-18)
> i386-pc-mingw32
>
> Calling serialize() with a NULL connection serializes it to a raw vector.
> However, when the object to be serialized is large, it takes a very long time:
>
>> system.time( serialize(ma
There was an error in the buffer allocation code that caused realloc
to be called far more often than needed; on systems where realloc is
slow this will cause problems. Will be fixed shortly in R-devel and
R-patched.
Best,
luke
On Thu, 25 Jan 2007, Ashish Kulkarni wrote:
> Hin-Tak Leung wrote:
Ashish Kulkarni wrote:
> Hin-Tak Leung wrote:
>
>> It might be interesting to know get some details on your hardware.
>>
>>
>
> It's a P4 2.66GHz with a standard Intel motherboard having 1GB RAM.
>
>
>> On my box, linux native seems to be a little slower than
>> your quick.serialize time
Hin-Tak Leung wrote:
>
> It might be interesting to know get some details on your hardware.
>
It's a P4 2.66GHz with a standard Intel motherboard having 1GB RAM.
> On my box, linux native seems to be a little slower than
> your quick.serialize times:
>
> > system.time( serialize(matrix(0, 100
Ashish Kulkarni wrote:
> Hello,
>
> R version 2.4.1 (2006-12-18)
> i386-pc-mingw32
>
> Calling serialize() with a NULL connection serializes it to a raw vector.
> However, when the object to be serialized is large, it takes a very long time:
>
>> system.time( serialize(matrix(0, 1000, 1000), N
Hello,
R version 2.4.1 (2006-12-18)
i386-pc-mingw32
Calling serialize() with a NULL connection serializes it to a raw vector.
However, when the object to be serialized is large, it takes a very long time:
> system.time( serialize(matrix(0, 1000, 1000), NULL) )
[1] 38.25 40.73 81.54NANA
