High Performance Computing in Physics

8 Feb 2011, 08:00 → 9 Feb 2011, 18:00 Asia/Kolkata

AG-66 (Colaba Campus)

This program aims to bring together a community of people who intensively use high performance computing (HPC) to address interesting questions in science. The community of such people in India has grown over the last few years, and the growth is accelerating. The workshop aims to foster a discussion on advances in the HPC landscape and how these advances in HPC can be put to use in research. We aim to pay close attention to computational techniques, HPC requirements, computational performance applications, data management strategies, and physical facility challenges in hosting petaflop computing systems.

Tuesday, 8 February

Registration and Inauguration

1 Challenges for Lattice QCD in the Multipetaflops Age

Session I

2 Quantum Monte Carlo studies of a valence-bond-solid state in two dimensions

3 Jamming and Void Space in Particle Packing: from Glasses to Globular Proteins

4 QCD Critical Point Search from Supercomputers

Session 2

5 Computation in Astrophysics: present and future challenges

6 Symplectic Integrators and Shadow Hamiltonians

Session 3

7 Super-scale Physics Applications on Large HPC Systems

8 Revolutionizing HPC with GPUs

9 Tape takes on Mass Storage

Session 4

10 Top 7 Challenges of Today's HPC Centers

11 To be announced

Wednesday, 9 February

Parallel Computation for Lattice QCD

12 Parallel Computation for Lattice QCD

Quantum Monte Carlo Algorithms for Spin Systems

13 Quantum Monte Carlo Algorithms for Spin Systems

Cray Programming Environment : The performance-productivity bridge at extreme scale

14 Programming Languages for Peta-scale Computing

Finding selected eigenvalues of the lattice Dirac operator using the Lanczos algorithm with selective re-orthogonalization

An implementation and modification of the LANSO (Lanczos Algorithm with Selective re-Orthogonalization) of Parlett and Scott, for which we just use the (Hermitean) lattice Dirac operator as an example of a useful large sparse (Hermitean) operator. The talk would really be about Krylov spaces, the Lanczos algorithm in floating-point arithmetic, and how to avoid spurious repeated eigenvalues. It would also touch upon the Kaniel-Paige theory of convergence of Ritz pairs to actual eigenpairs, and some possibly new results on the rate of convergence of inner eigenvalues. The work is being done in collaboration with
Chris Johnson (EPCC) using the UK's Cray XT5h system Hector at EPCC.

15 Finding selected eigenvalues of the lattice Dirac operator using the Lanczos algorithm with selective re-orthogonalization

Slides Kennedy.pdf.pdf

Numerical Methods for Compressible Flows