Add to ORKGAbstract. This paper describes a parallel Jacobi method for lattice basis reduction and a GPU implementation using CUDA. Our experiments have shown that the parallel implementation is more than fifty times as fast as the serial counterpart, which is twice as fast as the well-known LLL lattice reduction algorithm. Key words. Lattice basis reduction, Jacobi method, GPU. 1
The use of a matrix-free, memory-efficient approach to generate large-scale spatially variant lattic...
Frequency response analysis is an important computational tool to simulate and understand the dynami...
The purpose of this research is to design a faster implementation of an algorithm to generate 3D spa...
Abstract. This paper describes a parallel Jacobi method for lattice basis reduction and a GPU implem...
Abstract. In this paper we make a first feasibility analysis for imple-menting lattice reduction alg...
Lattice reduction has a wide range of applications. In this paper, we first present a polynomial tim...
The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-014-1201-2The la...
Abstract. Lattice basis reduction is the problem of finding short vec-tors in lattices. The security...
This thesis presents the Lenstra, Lenstra, and Lovász algorithm (more commonly the LLL-algorithm), w...
In this paper we present an algorithm for parallel exhaustive search for short vectors in lattices. ...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
Abstract. In this paper we present an algorithm for parallel exhaustive search for short vectors in ...
The LLL basis reduction algorithm was the first polynomial-time algorithm to compute a reduced basis...
In this work, we present a parallel implementation of Hestenes-Jacobi-One-sided method exploiting th...
Many eigenvalue and eigenvector algorithms begin with reducing the input matrix into a tridiagonal ...
The use of a matrix-free, memory-efficient approach to generate large-scale spatially variant lattic...
Frequency response analysis is an important computational tool to simulate and understand the dynami...
The purpose of this research is to design a faster implementation of an algorithm to generate 3D spa...
Abstract. This paper describes a parallel Jacobi method for lattice basis reduction and a GPU implem...
Abstract. In this paper we make a first feasibility analysis for imple-menting lattice reduction alg...
Lattice reduction has a wide range of applications. In this paper, we first present a polynomial tim...
The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-014-1201-2The la...
Abstract. Lattice basis reduction is the problem of finding short vec-tors in lattices. The security...
This thesis presents the Lenstra, Lenstra, and Lovász algorithm (more commonly the LLL-algorithm), w...
In this paper we present an algorithm for parallel exhaustive search for short vectors in lattices. ...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
Abstract. In this paper we present an algorithm for parallel exhaustive search for short vectors in ...
The LLL basis reduction algorithm was the first polynomial-time algorithm to compute a reduced basis...
In this work, we present a parallel implementation of Hestenes-Jacobi-One-sided method exploiting th...
Many eigenvalue and eigenvector algorithms begin with reducing the input matrix into a tridiagonal ...
The use of a matrix-free, memory-efficient approach to generate large-scale spatially variant lattic...
Frequency response analysis is an important computational tool to simulate and understand the dynami...
The purpose of this research is to design a faster implementation of an algorithm to generate 3D spa...