Publications
Export 11 results:
Filters: First Letter Of Title is M and Author is Ichitaro Yamazaki [Clear All Filters]
Matrix Powers Kernels for Thick-Restart Lanczos with Explicit External Deflation,”
International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, IEEE, May 2019.
(480.73 KB)
“MATEDOR: MAtrix, TEnsor, and Deep-learning Optimized Routines
, Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Research Poster, November 2018.
(2.55 MB)
MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR)
, Washington, DC, NSF PI Meeting, Poster, April 2018.
(2.4 MB)
MAGMA-sparse Interface Design Whitepaper,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-05, September 2017.
(1.28 MB)
“MAGMA MIC: Optimizing Linear Algebra for Intel Xeon Phi
, Frankfurt, Germany, ISC High Performance (ISC15), Intel Booth Presentation, June 2015.
(2.03 MB)
Mixed-precision Block Gram Schmidt Orthogonalization,”
6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Austin, TX, ACM, November 2015.
(235.69 KB)
“Mixed-Precision Cholesky QR Factorization and its Case Studies on Multicore CPU with Multiple GPUs,”
SIAM Journal on Scientific Computing, vol. 37, no. 3, pp. C203-C330, May 2015.
(374.8 KB)
“Mixed-precision orthogonalization process Performance on multicore CPUs with GPUs,”
2015 SIAM Conference on Applied Linear Algebra, Atlanta, GA, SIAM, October 2015.
(301.01 KB)
“Mixed-precision orthogonalization scheme and adaptive step size for CA-GMRES on GPUs,”
VECPAR 2014 (Best Paper), Eugene, OR, June 2014.
(438.54 KB)
“MAGMA: A Breakthrough in Solvers for Eigenvalue Problems
, San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.
(9.23 MB)
MAGMA: A New Generation of Linear Algebra Library for GPU and Multicore Architectures
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Presentation, November 2012.
(4.69 MB)