Re: [eigen] Parallel matrix multiplication causes heap allocation |

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*To*: eigen@xxxxxxxxxxxxxxxxxxx*Subject*: Re: [eigen] Parallel matrix multiplication causes heap allocation*From*: François Fayard <fayard@xxxxxxxxxxxxx>*Date*: Thu, 22 Dec 2016 11:49:15 +0100

Thanks for talking about libxsmm which I did not know about. It is strange that this library did not make its way to the MKL yet. > On 22 Dec 2016, at 00:18, Benoit Steiner <benoit.steiner.goog@xxxxxxxxx> wrote: > > I've just started to merge some support for the libxsmm matrix multiplication kernels into Eigen. These kernels are extremely efficient and perform better than the Eigen ones on Haswell and above. > > Note that there is more work to be done, in particular wrt to multi-threading. This will be done over the next few months

**References**:**[eigen] Parallel matrix multiplication causes heap allocation***From:*Rene Ahlsdorf

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*François Fayard

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Gael Guennebaud

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Jeff Hammond

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Gael Guennebaud

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Jeff Hammond

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Gael Guennebaud

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Christoph Hertzberg

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*François Fayard

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Christoph Hertzberg

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*François Fayard

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Ilja Honkonen

**Re: [eigen] Parallel matrix multiplication causes heap allocation***From:*Benoit Steiner

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