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Subject: Re: [boost] SIMD implementation of uBLAS
From: Aditya Avinash (adityaavinash143_at_[hidden])
Date: 2013-05-29 01:33:50


@Gaetano: Thank you for the comments. I'll change accordingly and post it
back. I am using T because, the code need to run double precision float
also.
@Joel: The Boost.SIMD is generalized. Designing algorithms specific to
uBLAS increases the performance. Odeint have their own simd backend.

On Wed, May 29, 2013 at 10:36 AM, Joel Falcou <joel.falcou_at_[hidden]> wrote:

> On 29/05/2013 06:45, Gaetano Mendola wrote:
>
>> On 29/05/2013 06.13, Aditya Avinash wrote:
>>
>>> Hi, i have developed vector addition algorithm which exploits the
>>> hardware
>>> parallelism (SSE implementation).
>>>
>>
>> A few comments:
>>
>> - That is not C++ but just C in disguise of C++ code
>> . SSE1 CTOR doesn't use initialization list
>> . SSE1 doesn't have a DTOR and the user has to
>> explicit call the Free method
>>
>> - const-correctness is not in place
>> - The SSE namespace should have been put in a "detail"
>> namespace
>> - Use memcpy instead of explicit for
>> - Why is SSE1 template when it works only when T is a
>> single-precision, floating-point value ?
>>
>>
>> Also I believe a nice interface whould have been:
>>
>> SSE1::vector A(1024);
>> SSE1::vector B(1024);
>> SSE1::vector C(1024);
>>
>> C = A + B;
>>
>>
>> Regards
>> Gaetano Mendola
>>
>>
> See our work on Boost.SIMD ...
>
>
>
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-- 
----------------
Atluri Aditya Avinash,
India.

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