Recent advances in matrix computations for extreme-scale computers - Part I of II
For Part II, see MS-Mo-E-11

Date: August 10
Time: 13:30--15:30
Room: 203B

(Note: Click title to show the abstract.)

Li, Xiaoye (Lawrence Berkeley National Laboratory)
Duff, Iain (STFC Rutherford Appleton Laboratory)

Abstract: Numerical linear algebra is at the heart of scientific and industrial
discoveries. The forthcoming arrival of the exascale era provides
tremendous opportunities and challenges for further development of
algorithms and software extreme-scale computing. This minisymposium
emphasizes problem reformulations, algorithm redesigns and
code refactorings for the efficient use of high performance computers.
Topics range from direct methods, iterative methods, preconditioning,
and the emerging fast algorithms for both dense and sparse
algebraic systems. The speakers will present various techniques to reduce
communication, synchronization and memory footprint.
Performance of the new algorithms will be demonstrated on modern manycore
parallel machines.

Combining direct and iterative methods to solve very large sparse equations on massively parallel architectures
Duff, Iain (STFC Rutherford Appleton Laboratory)

On the design of parallel linear solvers for large scale problems
Pierre, RAMET (Bordeaux Univ. & Inria)

Asynchronous Optimized Schwarz Methods
Szyld, Daniel (Temple Univ.)

Solving linear equations with HSS structure: theory and practice
Li, Xiaoye (Lawrence Berkeley National Laboratory)
Rouet, Francois-Henry (Lawrence Berkeley National Laboratory)
Ghysels, Pieter (Lawrence Berkeley National Lab)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA