Ichitaro Yamazaki


Dense Linear Algebra
  1. G. Ballard, D. Becker, J. Demmel, J. Dongarra, A. Druinsky, I. Peled, O. Schwartz, S. Toledo, and I. Yamazaki: Communication-avoiding symmetric-indefinite factorization. SIAM J. Matrix Anal. Appl. 35(4): 1364-1460 (2014). (link,preprint).
  2. I. Yamazaki, T. Dong, R. Solca, S. Tomov, J. Dongarra, and T. Schulthess: Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems. Concurrency Computat.: Pract. Exper. 26(16): 2652-2666 (2014) (link, preprint).
  3. G. Ballard, D. Becker, J. Demmel, J. Dongarra, A. Druinsky, I. Peled, O. Schwartz, S. Toledo, and I. Yamazaki: Implementing a blocked Aasen's algorithm with a dynamic scheduler on multicore architecture. IPDPS 2013 (Best paper): 895-907 (link)
  4. I. Yamazaki, S. Tomov, and J. Dongarra: One-sided dense matrix factorizations on a multicore with multiple GPU accelerators. ICCS 2012: 37-46 (link)
  5. Y. Nakatsukasa, K. Aishima, and I. Yamazaki: dqds with Aggressive Early Deflation. SIAM J. Matrix Anal. Appl. 33(1): 22-51 (2012) (preprint, link).

Sparse Linear Algebra
  1. I. Yamazaki, S. Tomov, and J. Dongarra: Deflation strategies to improve the convergence of communication-avoiding GMRES. ScalA Workshop 2014: 39-46 (link).
  2. I. Yamazaki, T. Mary, J. Kurzak, S. Tomov, and J. Dongarra: Access-averse framework for computing low-rank matrix approximations. BigData Workshop 2014: 70-77 (link).
  3. I. Yamazaki, H. Anzt, S. Tomov, M. Hoemmen, and J. Dongarra: Improving the performance of CA-GMRES on Multicores with Multiple GPUs. IPDPS 2014: 382-391 (preprint).
  4. I. Yamazaki, X. Li, F.-H. Rouet, and B. Ucar: Partitioning, ordering, and load balancing in a hierchically parallel hybrid linear solver. PDSEC 2013: (preprint, link)
  5. X. Lacoste, P. Ramet, M. Faverge, I. Yamazaki, and J. Dongarra: Sparse direct solvers with accelerators over DAG runtimes. (preprint)
  6. I. Yamazaki and X. Li: New Scheduling Strategies and Hybrid Programming for a Parallel Right-looking Sparse LU Factorization Algorithm on Multicore Cluster Systems. IPDPS 2012: 619-630 (preprint, link)
  7. I. Yamazaki and K. Wu: A Communication-Avoiding Thick-Restart Lanczos Method on a Distributed-Memory System. HPSS worksop at EuroPar 2011: 345-354 (preprint, link).
  8. I. Yamazaki and X. Li: On Techniques to Improve Robustness and Scalability of a Parallel Hybrid Linear Solver. VECPAR 2010: 421-434 (preprint, link).
  9. I. Yamazaki, Z. Bai, H. Simon, L.-W. Wang, and K. Wu: Adaptive Projection Subspace Dimension for the Thick-Restart Lanczos Method. ACM Trans. Math. Soft. 37(3): (2010) (preprint, link).

  1. X. Yuan, X. Li, I. Yamazaki, S. Jardin, A. Koniges, and D. Keyes: Application of PDSLin to the magnetic reconnection problem. ICNSP 2011 (link).
  2. I. Yamazaki, T. Ikegami, T. Sakurai, and H. Tadano: Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method, PMAA 2010 (Parallel Computing 39: 280-290, 2013, link)
  3. Z. Bai, W. Chen, R. Scalettar, and I. Yamazaki: Numerical Methods for Quantum Monte Carlo Simulations of the Hubbard Model in Multi-Scale Phenomena in Complex Fluids, Higher Education Press and World Scientific, 2009 (preprint).
  4. I. Yamazaki, Z. Bai, W. Chen, and R. Scalettar: A high-quality preconditioning technique for multi-length-scale symmetric positive definite linear systems. Numer. Math. Theor. Meth. Appl. 2(4) 2009 (preprint, link).
  5. I. Yamazaki, V. Natarajan, Z. Bai, and B. Hamann: Segmenting point-sampled surfaces. The Visual Computer 26(12): 1421-1433 (2010) (preprint, link).
  6. S. Chatterji, I. Yamazaki, Z. Bai, and J. Eisen: CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads. RECOMB 2008: 17-28 (preprint).
  7. I. Yamazaki, V. Natarajan, Z. Bai, and B. Hamann: Segmenting Point Sets. SMI 2006: 6-15 (preprint, link).