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Fast parallel algorithms for finding elementary circuits of a directed graph: a GPU-based approach
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Fast parallel algorithms for finding elementary circuits of a directed graph: a GPU-based approach

Benachour, Amira ; Yahiaoui, Saïd ; El Baz, Didier ; Nouali-Taboudjemat, Nadia ; Kheddouci, Hamamache

The Journal of supercomputing, 2023-03, Vol.79 (5), p.4791-4819 [Periódico revisado por pares]

New York: Springer US

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2
Energy-efficient design of a presbyopia correction wearable powered by mobile GPUs and FPGAs
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Energy-efficient design of a presbyopia correction wearable powered by mobile GPUs and FPGAs

Mompeán, Juan ; Aragón, Juan L. ; Artal, Pablo

The Journal of supercomputing, 2022, Vol.78 (9), p.11657-11679 [Periódico revisado por pares]

New York: Springer US

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3
Distributed out-of-memory NMF on CPU/GPU architectures
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Distributed out-of-memory NMF on CPU/GPU architectures

Boureima, Ismael ; Bhattarai, Manish ; Eren, Maksim ; Skau, Erik ; Romero, Philip ; Eidenbenz, Stephan ; Alexandrov, Boian

The Journal of supercomputing, 2024-02, Vol.80 (3), p.3970-3999 [Periódico revisado por pares]

New York: Springer US

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4
Comparing GPU-parallelized metaheuristics to branch-and-bound for batch plants optimization
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Comparing GPU-parallelized metaheuristics to branch-and-bound for batch plants optimization

Borisenko, Andrey ; Gorlatch, Sergei

The Journal of supercomputing, 2019-12, Vol.75 (12), p.7921-7933 [Periódico revisado por pares]

New York: Springer US

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5
Scene optimization of GPU-based back-projection algorithm
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Scene optimization of GPU-based back-projection algorithm

Gong, Hao ; Liu, Ying ; Chen, Xiaoying ; Wang, Cheng

The Journal of supercomputing, 2023-03, Vol.79 (4), p.4192-4214 [Periódico revisado por pares]

New York: Springer US

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6
A batched GEMM optimization framework for deep learning
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A batched GEMM optimization framework for deep learning

Yang, Zhiwei ; Lu, Lu ; Wang, Ruimin

The Journal of supercomputing, 2022-07, Vol.78 (11), p.13393-13408 [Periódico revisado por pares]

New York: Springer US

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7
Strategies to parallelize a finite element mesh truncation technique on multi-core and many-core architectures
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Strategies to parallelize a finite element mesh truncation technique on multi-core and many-core architectures

Badia, Jose M. ; Amor-Martin, Adrian ; Belloch, Jose A. ; Garcia-Castillo, Luis Emilio

The Journal of supercomputing, 2023-05, Vol.79 (7), p.7648-7664 [Periódico revisado por pares]

New York: Springer US

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8
Parallel construction of Random Forest on GPU
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Parallel construction of Random Forest on GPU

Senagi, Kennedy ; Jouandeau, Nicolas

The Journal of supercomputing, 2022, Vol.78 (8), p.10480-10500 [Periódico revisado por pares]

New York: Springer US

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9
A calibrated asymptotic framework for analyzing packet classification algorithms on GPUs
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A calibrated asymptotic framework for analyzing packet classification algorithms on GPUs

Abbasi, M. ; Rafiee, M.

The Journal of supercomputing, 2019-10, Vol.75 (10), p.6574-6611 [Periódico revisado por pares]

New York: Springer US

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10
Research on GPU parallel algorithm for direct numerical solution of two-dimensional compressible flows
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Research on GPU parallel algorithm for direct numerical solution of two-dimensional compressible flows

Wang, Yongzhen ; Yan, Xuefeng ; Zhang, Jun’an

The Journal of supercomputing, 2021, Vol.77 (10), p.10921-10941 [Periódico revisado por pares]

New York: Springer US

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