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PARALLEL SCIENTIFIC COMPUTING

Characterization of the effects of Soft Errors in Scientific Applications

Soft errors are transient errors that result in bit flips in memory and errors in logic circuit output that leave the output of the computing system state corrupt. Although the increase in transistor density on the chip has lead to higher performance, it has left the systems with higher susceptibility to soft errors. The applications executed on super computers are usually long running scientific applications like semiconductor device simulations, modeling reacting flows, analyses of ground water contamination among many others. The stability and reliability of these systems are also threatened by these errors. The current research aims to understanding the vulnerability to soft errors while protecting them against soft errors.

Publications as posters:

  • Characterizing the Impact of Soft Errors on Sparse Linear Solvers, S. Srinivasmurthy, M. Shantharam, P. Raghavan, M. Kandemir,  In proceedings Super Computing Conference, New Orleans, LA, 2010 (Best Poster Award)
  • Impact of Soft Errors in Scientific Applications, S. Srinivasmurthy, P. Raghavan, In proceedings Grace Hopper Celebration for Women in Computing, Atlanta, GA, 2010

Publications Listing in the area of Parallel Scientific Computing:


Publications as posters:
  •  Norm-Coarsened Ordering for Parallel Incomplete Cholesky Preconditioning, J.D. Booth, In proceeding Super Computing Conference, Salt Lake City, Utah, 2012 (3rd Place ACM Student Research Award)

2013
  • Scalable Parallel Graph Partitioning, Shad Kirmani, Padma Raghavan, International Conference on Supercomputing, 2013, Denver, CO (Best Paper Nominated)

2012
  • Adapting Sparse Triangular Solution to GPUs, Brad Suchoski, Caleb Severn, Manu Shantharam, Padma Raghavan, ICPP Workship 2012,: 140-148
  • NUMA-Awar Graph Mining Techniques for Performance and Energy Efficiency, International Conference on Supercomputing, 2012, Salt Lake City, UT.

2011
  • Characterizing the impact of soft errors on iterative methods in scientific computing. Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan, International Conference on Supercomputing, 2011, Tucson, AZ, USA: 152-161
  • Exploiting dense substructures for fast sparse matrix vector multiplication. Manu Shantharam, Anirban Chatterjee, Padma Raghavan, International Journal of High Performance Computing Applications, Volume 25(3): 328-341 (2011)

 

2010
  • Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion, P. Raghavan and K. Teranishi, SIAM Journal on Scientific Computing, Volume 32, Issue 3, pp. 1323-1345 (2010) .

 

2007
  • A Hybrid Parallel Preconditioner Using Incomplete Cholesky Factorization and Sparse Approximate Inversion, K. Teranishi and P. Raghavan, Lecture Notes in Computational Science and Engineering, Domain Decomposition Methods in Science and Engineering XVI, Vol. 55, pp. 757–764, 2007.

2006
  • Effective Preconditioning through Ordering Interleaved with Incomplete Factorization, I. Lee, P. Raghavan and E. G. Ng, SIAM Journal on Matrix Analysis and Applications, Vol. 27, No. 4, pp. 1069–1088, 2006.
  • Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning, K. Teranishi and P. Raghavan, Lecture Notes in Computer Science, No. 3732, Applied Parallel Computing, pp. 637–643, 2006.
  • Advanced Algorithms and Software Components for Scientific Computing, P. Raghavan, Lecture Notes in Computer Science, No. 3732, Applied Parallel Computing, pp. 590–592, 2006.

2005
  • Multi-Pass Mapping Schemes For Parallel Sparse Matrix Computations, K. Malkowski and P. Raghavan, Lecture Notes in Computer Science, Computational Science- ICCS 2005, Number 3514, pp. 245–255, May 2005.

2004
  • Faster PDE-Based Simulations Using Robust Composite Linear Solvers, S. Bhowmick, P. Raghavan, L. C. McInnes and B. Norris, Future Generation Computer Systems, Vol. 20, pp. 373–387, 2004.
  • Robust Algorithms and Software for Parallel PDE-Based Simulations, S. Bhowmick, L. McInnes, B. Norris and P. Raghavan, Proceedings of HPC 2004, The Twelfth Special Symposium on High Performance Computing at the 2004 Advanced Simulation Technologies Conference, Arlington, VA, pp. 37–42, April 2004.

2003
  • A Latency Tolerant Hybrid Sparse Solver Using Incomplete Cholesky Factorization, P. Raghavan, K. Teranishi and E. G. Ng, Numerical Linear Algebra, Volume 10, pp. 541–560, 2003.
  • Time-Memory Trade-offs Using Sparse Matrix Methods For Large-Scale Eigenvalue Problems, K. Teranishi, P. Raghavan and C. Yang, Lecture notes in Computer Science 2677, pp. 840–847, May 2003.
  • The Role of Multi-Method Linear Solvers in PDE-Based Simulations, S. Bhowmick, L. McInnes, B. Norris and P. Raghavan, Lecture notes in Computer Science 2677, pp. 828–839, May 2003.

2002
  • A New Data-Mapping Scheme For Latency-Tolerant Distributed Sparse Triangular Solution, K. Teranishi, P. Raghavan and E. Ng, Proceedings of the IEEE/ACM Supercomputing 2002, IEEE Computer Society, paper 27, November 2002.
  • A Combinatorial Scheme for Developing Efficient Composite Solvers, S. Bhowmick, P. Raghavan and K. Teranishi, Lecture Notes in Computer Science, Computational Science-ICCS 2002, Number 2330, Springer Verlag, pp. 325–334, May 2002.

2001
  • Towards Scalable Preconditioning Using Incomplete Factorization, P. Raghavan, K. Teranishi and E. Ng, Proceedings of the International Conference on Preconditioning Techniques, pp. 63–65, November 2001.

2000
  • Towards A Scalable Hybrid Sparse Solver, E. G. Ng and P. Raghavan, Concurrency: Practice and Experience, Vol. 12, pp. 1–16, 2000.

1999
  • A Blocked Incomplete Cholesky Preconditioner for Hierarchical-Memory Computers, E. G. Ng, B.W. Peyton and P. Raghavan, IMACS Series in Computational and Applied Mathematics: Iterative Methods in Scientific Computation IV, pp. 211–222, October 1999.
  • The Performance of Greedy Ordering Heuristics for Sparse Cholesky Factorization, E. G.Ng and P. Raghavan, SIAM Journal of Matrix Analysis and Applications, Vol. 20, No. 4, pp. 902–914, 1999.

1998
  • Tools for Mapping Applications to CCMs, M. T. Jones, M. A. Langston and P. Raghavan, Proceedings of SPIE, Configurable Computing: Technology and Applications, Editor John Schewel, pp. 72–81, November 1998.
  • Efficient Parallel Triangular Solution Using Selective Inversion, P. Raghavan, Parallel Processing Letters, Vol. 8, No. 1, pp. 29–40, 1998.
  • The Performance of Parallel Sparse Triangular Solution, M. T. Heath and P. Raghavan, IMA Volumes in Mathematics and its Applications: Algorithms for Parallel Processing, Vol. 105, pp. 289–306, 1998.

1997
  • Parallel Ordering Using Edge Contraction, P. Raghavan, Parallel Computing, Vol. 23, No.8, pp. 1045–1067, 1997.
  • Performance of a Fully Parallel Sparse Solver, M. T. Heath and P. Raghavan, International Journal of Supercomputing Applications, Vol. 11, No. 1, pp. 49–64, 1997.

1995
  • Distributed Sparse Gaussian Elimination and Orthogonal Factorization, P. Raghavan, SIAM Journal of Scientific Computing, Vol. 16, pp. 1462–1477, 1995.
  • A Cartesian Parallel Nested Dissection Algorithm, M. T. Heath and P. Raghavan, SIAM Journal of Matrix Analysis and Applications, Vol. 16, pp. 235–253, 1995.

1994
  • Performance of a Fully Parallel Sparse Solver, M. T. Heath and P. Raghavan, Proceedings of the 1994 Scalable High Performance Computing Conference, IEEE Computer Society Press, pp. 334–341, May 1994.
  • Distributed Sparse Gaussian Elimination and Orthogonal Factorization, P. Raghavan, Proceedings of the 1994 Scalable High Performance Computing Conference, IEEE Computer Society Press, pp. 607–614, May 1994. 

1993
  • Distributed Solution of Sparse Symmetric Positive Definite Systems, M. T. Heath and P. Raghavan, Proceedings of the 1993 Scalable Parallel Libraries Conference, IEEE Computer Society Press, October 1993.

1989
  • Distributed Orthogonal Factorization: Givens and Householder Algorithms, A. Pothen and P. Raghavan, SIAM Journal of Scientific Computing, Vol. 10, No. 6, pp. 1113–1134, 1989.

1988
  • Distributed Orthogonal Factorization, A. Pothen and P. Raghavan, Proceedings of the Third ACM Conference on Hypercube Concurrent Computers and Applications, pp. 1610–1620, June 1988.

 

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