Stanimire Tomov
Stanimire Tomov
Research Director at the Innovative Conputing Laboratory, University of Tennessee
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Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
E Agullo, J Demmel, J Dongarra, B Hadri, J Kurzak, J Langou, H Ltaief, ...
Journal of Physics: Conference Series 180 (1), 012037, 2009
Towards dense linear algebra for hybrid GPU accelerated manycore systems
S Tomov, J Dongarra, M Baboulin
Parallel Computing 36 (5-6), 232-240, 2010
From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming
P Du, R Weber, P Luszczek, S Tomov, G Peterson, J Dongarra
Parallel Computing 38 (8), 391-407, 2012
GPU Computing Gems Jade Edition (Applications of GPU Computing Series)
WW Hwu, editor
Morgan Kaufmann Publishers Inc., 2011
Dense linear algebra solvers for multicore with GPU accelerators
S Tomov, R Nath, H Ltaief, J Dongarra
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
An improved MAGMA GEMM for Fermi graphics processing units
R Nath, S Tomov, J Dongarra
The International Journal of High Performance Computing Applications 24 (4 …, 2010
A note on auto-tuning GEMM for GPUs
Y Li, J Dongarra, S Tomov
International Conference on Computational Science, 884-892, 2009
Accelerating scientific computations with mixed precision algorithms
M Baboulin, A Buttari, J Dongarra, J Kurzak, J Langou, J Langou, ...
Computer Physics Communications 180 (12), 2526-2533, 2009
The impact of multicore on math software
A Buttari, J Dongarra, J Kurzak, J Langou, P Luszczek, S Tomov
International Workshop on Applied Parallel Computing, 1-10, 2006
QR factorization on a multicore node enhanced with multiple GPU accelerators
E Agullo, C Augonnet, J Dongarra, M Faverge, H Ltaief, S Thibault, ...
2011 IEEE International Parallel & Distributed Processing Symposium, 932-943, 2011
Handbook of parallel computing: models, algorithms and applications
S Rajasekaran, J Reif
CRC press, 2007
Autotuning GEMM kernels for the Fermi GPU
J Kurzak, S Tomov, J Dongarra
IEEE Transactions on Parallel and Distributed Systems 23 (11), 2045-2057, 2012
A hybridization methodology for high-performance linear algebra software for GPUs
E Agullo, C Augonnet, J Dongarra, H Ltaief, R Namyst, S Thibault, ...
GPU Computing Gems Jade Edition, 473-484, 2012
Using mixed precision for sparse matrix computations to enhance the performance while achieving 64-bit accuracy
A Buttari, J Dongarra, J Kurzak, P Luszczek, S Tomov
ACM Transactions on Mathematical Software (TOMS) 34 (4), 1-22, 2008
Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems
F Song, S Tomov, J Dongarra
Proceedings of the 26th ACM international conference on Supercomputing, 365-376, 2012
Clinical proteomics and biomarker discovery
DJ JOHANN JR, MD McGuigan, AR Patel, S Tomov, S Ross, TP Conrads, ...
Annals of the New York Academy of Sciences 1022 (1), 295-305, 2004
Parallel performance measurement of heterogeneous parallel systems with gpus
AD Malony, S Biersdorff, S Shende, H Jagode, S Tomov, G Juckeland, ...
2011 International Conference on Parallel Processing, 176-185, 2011
Power aware computing on GPUs
K Kasichayanula, D Terpstra, P Luszczek, S Tomov, S Moore, ...
2012 Symposium on Application Accelerators in High Performance Computing, 64-73, 2012
Accelerating numerical dense linear algebra calculations with GPUs
J Dongarra, M Gates, A Haidar, J Kurzak, P Luszczek, S Tomov, ...
Numerical computations with GPUs, 3-28, 2014
Harnessing GPU tensor cores for fast FP16 arithmetic to speed up mixed-precision iterative refinement solvers
A Haidar, S Tomov, J Dongarra, NJ Higham
SC18: International Conference for High Performance Computing, Networking …, 2018
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