4 citations · 14 across the 16 of their papers we have counts for
5 papers · 1 filter
Knowledge-Based Automatic Generation of Partitioned Matrix Expressions
Diego Fabregat-Traver, Paolo Bientinesi
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 powe…
Automatic Generation of Loop-Invariants for Matrix Operations
Diego Fabregat-Traver, Paolo Bientinesi
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…
On the Performance Prediction of BLAS-based Tensor Contractions
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
Tensor operations are surging as the computational building blocks for a variety of scientific simulations and the development of high-performance kernels for such operations is kn…
Knowledge-Based Automatic Generation of Linear Algebra Algorithms and Code
Diego Fabregat-Traver
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 equ…
High Performance Solutions for Big-data GWAS
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
In order to associate complex traits with genetic polymorphisms, genome-wide association studies process huge datasets involving tens of thousands of individuals genotyped for mill…