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- Dror Irony, Sivan Toledo, Alexander Tiskin
- J. Parallel Distrib. Comput.
- 2004

We present lower bounds on the amount of communication that matrixmultiplication algorithms must perform on a distributed-memory parallel computer. We denote the number of processors by P and the dimension of square matrices by n. We show that the most widely-used class of algorithms, the so-called 2-dimensional (2D) algorithms, are optimal, in the sense… (More)

- Hagai Aronowitz, Dror Irony, David Burshtein
- INTERSPEECH
- 2005

In this paper we present a speaker recognition algorithm that models explicitly intra-speaker inter-session variability. Such variability may be caused by changing speaker characteristics (mood, fatigue, etc.), channel variability or noise variability. We define a session-space in which each session (either train or test session) is a vector. We then… (More)

- Dror Irony, Gil Shklarski, Sivan Toledo
- Future Generation Comp. Syst.
- 2004

We describe the design, implementation, and performance of a new parallel sparse Cholesky factorization code. The code uses a multifrontal factorization strategy. Operations on small dense submatrices are performed using new dense matrix subroutines that are part of the code, although the code can also use the blas and lapack. The new code is recursive at… (More)

- Dror Irony, Sivan Toledo
- Parallel Processing Letters
- 2002

We present new communication-efficient parallel dense linear solvers: a solver for triangular linear systems with multiple right-hand sides and an LU factorization algorithm. These solvers are highly parallel and they perform a factor of 0.4P1/6 less communication than existing algorithms, where P is number of processors. The new solvers reduce… (More)

- Dror Irony, Sivan Toledo
- SIAM J. Matrix Analysis Applications
- 2006

The four existing stable factorization methods for symmetric indefinite pivoting (row or column exchanges) maintains a band structure in the reduced matrix and the factors, but destroys symmetry completely once an off-diagonal pivot is used. Two-by-two block pivoting maintains symmetry at all times, but quickly destroys the band structure. Gaussian… (More)

- Dror Irony, Gil Shklarski, Sivan Toledo
- International Conference on Computational Science
- 2002

We describe the design, implementation, and performance of a new parallel sparse Cholesky factorization code. The code uses a supernodal multifrontal factorization strategy. Operations on small dense submatrices are performed using new dense-matrix subroutines that are part of the code, although the code can also use the BLAS and LAPACK. The new code is… (More)

- Omer Meshar, Dror Irony, Sivan Toledo
- ACM Trans. Math. Softw.
- 2006

We present a new out-of-core sparse symmetric-indefinite factorization algorithm. The most significant innovation of the new algorithm is a dynamic partitioning method for the sparse factor. This partitioning method results in very low I/O traffic and allows the algorithm to run at high computational rates, even though the factor is stored on a slow disk.… (More)

- Dror Irony, Sivan Toledo
- PPSC
- 2001

We present new communication-efficient parallel dense linear solvers: An LU factorization algorithm and a triangular linear solver. The new algorithms perform asymptotically a factor of P 1/6 less communication than existing algorithms, where P is the number of processors . The new algorithms employ a 3-dimensional (3D) approach, which has been previously… (More)

- BANDED INDEFINITE MATRICES, Dror Irony, Sivan Toledo
- 2006

The four existing stable factorization methods for symmetric indefinite matrices suffer serious defects when applied to banded matrices. Partial pivoting (row or column exchanges) maintains a band structure in the reduced matrix and the factors, but destroys symmetry completely once an off-diagonal pivot is used. Two-by-two block pivoting and Gaussian… (More)

- Itsik Dvir, Amiram Allouche, +5 authors Jiantong Zhou
- 2017 25th European Signal Processing Conference…
- 2017

We present an extension for HEVC intra-frame coding with trapezoidal splits and orthogonal transforms. A block can be split into two 180-degrees rotationally-symmetric (C2) trapezoidal parts, each coded separately using standard DCT implementation. We also introduce part-to-part prediction from a diagonal edge. The optimal trapezoidal split of a quad tree… (More)