Displaying 9 results from an estimated 9 matches for "multipy".
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multiply
2011 Feb 07
1
how to return multipy matrix in a function
Hello
I have a 100*100 matrix which is from a intensive computation, e.g. mat. Is there any method/function that return the max of every row and the subscript of maximum value simultaneously
#define the function
> returnfunction<-function(x){
+ value<-apply(x,1,max)
+ index<-apply(x,1,which.max)
+ }
> mat<-matrix(c(3,5,7,2,1,10,4,3,2),3)#initilize the matrix for test
>
2010 Feb 17
2
udp stream multiply
Hello,
Not strictly a CentOS question, but I hope someone can hint me in the right direction ...
I have an incoming udp data stream to public interface that I want to duplicate and multipy to three or more destinations on the internal interface.
Currently I've managed to put together netcat listener with output to pipe and socat reading from that pipe to a single destination. I hoped I could have more than one socat reader from the pipe, but that does not seem to be the case. So...
2018 Jul 23
3
[LoopVectorizer] Improving the performance of dot product reduction loop
Hello all,
This code https://godbolt.org/g/tTyxpf is a dot product reduction loop
multipying sign extended 16-bit values to produce a 32-bit accumulated
result. The x86 backend is currently not able to optimize it as well as gcc
and icc. The IR we are getting from the loop vectorizer has several v8i32
adds and muls inside the loop. These are fed by v8i16 loads and sexts from
v8i16 to v8...
2018 Jul 23
4
[LoopVectorizer] Improving the performance of dot product reduction loop
~Craig
On Mon, Jul 23, 2018 at 4:24 PM Hal Finkel <hfinkel at anl.gov> wrote:
>
> On 07/23/2018 05:22 PM, Craig Topper wrote:
>
> Hello all,
>
> This code https://godbolt.org/g/tTyxpf is a dot product reduction loop
> multipying sign extended 16-bit values to produce a 32-bit accumulated
> result. The x86 backend is currently not able to optimize it as well as gcc
> and icc. The IR we are getting from the loop vectorizer has several v8i32
> adds and muls inside the loop. These are fed by v8i16 loads and sexts f...
2018 Jul 23
2
[LoopVectorizer] Improving the performance of dot product reduction loop
On 07/23/2018 06:23 PM, Hal Finkel via llvm-dev wrote:
>
> On 07/23/2018 05:22 PM, Craig Topper wrote:
>> Hello all,
>>
>> This code https://godbolt.org/g/tTyxpf is a dot product reduction
>> loop multipying sign extended 16-bit values to produce a 32-bit
>> accumulated result. The x86 backend is currently not able to optimize
>> it as well as gcc and icc. The IR we are getting from the loop
>> vectorizer has several v8i32 adds and muls inside the loop. These are
>> fed by v8...
2018 Jul 24
4
[LoopVectorizer] Improving the performance of dot product reduction loop
...;
> ~Craig
>
>
> On Mon, Jul 23, 2018 at 4:24 PM Hal Finkel <hfinkel at anl.gov> wrote:
>
>>
>> On 07/23/2018 05:22 PM, Craig Topper wrote:
>>
>> Hello all,
>>
>> This code https://godbolt.org/g/tTyxpf is a dot product reduction loop
>> multipying sign extended 16-bit values to produce a 32-bit accumulated
>> result. The x86 backend is currently not able to optimize it as well as gcc
>> and icc. The IR we are getting from the loop vectorizer has several v8i32
>> adds and muls inside the loop. These are fed by v8i16 loads...
2018 Jul 24
2
[LoopVectorizer] Improving the performance of dot product reduction loop
...nkel via llvm-dev wrote:
>
>
>
> On 07/23/2018 05:22 PM, Craig Topper wrote:
>
> Hello all,
>
>
>
> This code https://godbolt.org/g/tTyxpf
> <https://godbolt.org/g/tTyxpf> is a dot product reduction loop
> multipying sign extended 16-bit values to produce a 32-bit
> accumulated result. The x86 backend is currently not able to
> optimize it as well as gcc and icc. The IR we are getting from
> the loop vectorizer has several v8i32 adds and muls inside the
> loop. The...
2006 Sep 07
5
Conservative "ANOVA tables" in lmer
Dear lmer-ers,
My thanks for all of you who are sharing your trials and tribulations
publicly.
I was hoping to elicit some feedback on my thoughts on denominator
degrees of freedom for F ratios in mixed models. These thoughts and
practices result from my reading of previous postings by Doug Bates
and others.
- I start by assuming that the appropriate denominator degrees lies
between n
2008 Oct 15
0
R-help Digest, Vol 67, Issue 31
...to the *representation*,
not the *value* (which should, arguably, be clear from the man page),
and this seems to be counterintuitive to some of the users.
> With integers it is less clear that there is a difference in R, but it
> has been mentioned that you can get overflows from adding and multipying
> integers which you dont get with reals. In other programming languages,
> division of integers is integer division and many a fledgling C
> programmer has found the hard way that (2/3)*x is different from 2*x/3.
>
and this, again, is an *implementation* matter, not a property o...