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- Diego Fabregat-Traver, Paolo Bientinesi
- VECPAR
- 2012

We present a prototypical linear algebra compiler that automatically exploits domain-specific knowledge to generate highperformance algorithms. The input to the compiler is a target equation togetherâ€¦ (More)

- Edoardo Di Napoli, Diego Fabregat-Traver, Gregorio Quintana-OrtÃ, Paolo Bientinesi
- Applied Mathematics and Computation
- 2014

Mathematical operators whose transformation rules constitute the building blocks of a multi-linear algebra are widely used in physics and engineering applications where they are very oftenâ€¦ (More)

- Diego Fabregat-Traver, Paolo Bientinesi
- CASC
- 2011

In a series of papers it has been shown that for many linear algebra operations it is possible to generate families of algorithms by following a systematic procedure. Although powerful, such aâ€¦ (More)

- Diego Fabregat-Traver
- ArXiv
- 2013

This dissertation focuses on the design and the implementation of domain-specific compilers for linear algebra matrix equations. The development of efficient libraries for such equations, which lieâ€¦ (More)

- Diego Fabregat-Traver, Paolo Bientinesi
- 2011 International Conference on Computationalâ€¦
- 2011

In recent years it has been shown that for many linear algebra operations it is possible to create families of algorithms following a very systematic procedure. We do not refer to the fine tuning ofâ€¦ (More)

- Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
- Applied Mathematics and Computation
- 2014

Generalized linear mixed-effects models in the context of genome-wide association studies (GWAS) represent a formidable computational challenge: the solution of millions of correlated generalizedâ€¦ (More)

- Diego Fabregat-Traver, Paolo Bientinesi
- IJHPCA
- 2013

In this paper, we tackle the problem of automatically generating algorithms for linear algebra operations by taking advantage of problem-specific knowledge. In most situations, users possess muchâ€¦ (More)

- Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
- PMBS@SC
- 2014

Tensor operations are surging as the computational building blocks for a variety of scientific simulations and the development of highperformance kernels for such operations is known to be aâ€¦ (More)

- Diego Fabregat-Traver, Sodbo Zh. Sharapov, +7 authors Dirk Jan de Koning
- F1000Research
- 2014

To raise the power of genome-wide association studies (GWAS) and avoid false-positiveÂ results in structured populations, one can rely on mixed model based tests.Â When large samples are used, and whenâ€¦ (More)

- Elmar Peise, Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
- EuroMPI
- 2013

In order to associate complex traits with genetic polymorphisms, genome-wide association studies process huge datasets involving tens of thousands of individuals genotyped for millions ofâ€¦ (More)