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najlae kasmi
najlae kasmi
PhD student in Computer Science, ENSIAS
Verified email at um5s.net.ma
Title
Cited by
Cited by
Year
Performance evaluation of sparse matrix-vector product (SpMV) computation on GPU architecture
N Kasmi, SA Mahmoudi, M Zbakh, P Manneback
2014 Second World Conference on Complex Systems (WCCS), 23-27, 2014
92014
Performance analysis of preconditioned conjugate gradient solver on heterogeneous (multi-CPUs/multi-GPUs) architecture
N Kasmi, M Zbakh, A Haouari
Cloud Computing and Big Data: Technologies, Applications and Security 3, 318-336, 2019
62019
Performance evaluation of StarPU schedulers with preconditioned conjugate gradient solver on heterogeneous (multi-CPUs/multi-GPUs) architecture
N Kasmi, M Zbakh, Y Samadi, R Cherkaoui, A Haouari
2017 3rd International Conference of Cloud Computing Technologies and …, 2017
42017
Performance evaluation and analysis for conjugate gradient solver on heterogeneous (Multi-GPUs/Multi-CPUs) platforms
N Kasmi, M Zbakh, SA Mahmoudi, P Manneback
IJCSNS 17 (8), 206, 2017
42017
TASMR: Towards advanced secure mapreduc framework across untrusted hybrid clouds
A Haouari, M Zbakh, R Cherkaoui, Y Samadi, N Kasmi
2017 3rd International Conference of Cloud Computing Technologies and …, 2017
32017
Taking advantage of GPU/CPU architectures for sparse Conjugate Gradient solver computation
N Kasmi, M Zbakh, SA Mahmoudi, P Manneback
2015 Third World Conference on Complex Systems (WCCS), 1-5, 2015
12015
WT_DMDA new scheduling strategy for conjugate gradient solver on heterogeneous architecture
N Kasmi, M Zbakh, SA Mahmoudi, P Manneback
International Journal of Autonomic Computing 3 (1), 52-71, 2018
2018
Ayoub Araji, Rkia Fajr and Abdelaziz Bouroumi
S TAYEB, A MAHMOUD, F REGRAGUI, M Majid, N Kasmi, M Zbakh, ...
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