Publications
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Filters: First Letter Of Title is T and Author is Azzam Haidar [Clear All Filters]
Tensor Contractions using Optimized Batch GEMM Routines
, San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.
(1.64 MB)
Towards Achieving Performance Portability Using Directives for Accelerators,”
The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Third Workshop on Accelerator Programming Using Directives (WACCPD), Salt Lake City, Utah, Innovative Computing Laboratory, University of Tennessee, November 2016.
(567.02 KB)
“Towards a High-Performance Tensor Algebra Package for Accelerators
, Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC15), September 2015.
(1.76 MB)
Towards Batched Linear Solvers on Accelerated Hardware Platforms,”
8th Workshop on General Purpose Processing Using GPUs (GPGPU 8) co-located with PPOPP 2015, San Francisco, CA, ACM, February 2015.
(403.74 KB)
“Toward a scalable multi-GPU eigensolver via compute-intensive kernels and efficient communication,”
Proceedings of the 27th ACM International Conference on Supercomputing (ICS '13), Eugene, Oregon, USA, ACM Press, June 2013.
(1.27 MB)
“Toward High Performance Divide and Conquer Eigensolver for Dense Symmetric Matrices,”
SIAM Journal on Scientific Computing (Accepted), July 2012.
“Three-dimensional parallel frequency-domain visco-acoustic wave modelling based on a hybrid direct/iterative solver.,”
To appear in Geophysical Prospecting journal., 00 2011.
(1.04 MB)
“Toward High Performance Divide and Conquer Eigensolver for Dense Symmetric Matrices.,”
Submitted to SIAM Journal on Scientific Computing (SISC), 00 2011.
“Towards a Complexity Analysis of Sparse Hybrid Linear Solvers,”
PARA 2010, Reykjavik, Iceland, June 2010.
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