Suchergebnisse - Shared-memory parallel computing

Computational performance of a smoothed particle hydrodynamics simulation for shared-memory parallel computing von Nishiura, Daisuke, Furuichi, Mikito, Sakaguchi, Hide

“… The computational performance of a smoothed particle hydrodynamics (SPH) simulation is investigated for three types of current shared-memory parallel computer devices …”
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On Pervasive Shared Memory Parallel Computing von Rattan, Ishwar

“… Nowadays one can find parallel computing (PC) capability in laptops, desktops, smart phones and embedded devices in, use today …”
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Adaptive parallel applications: from shared memory architectures to fog computing (2002–2022) von Galante, Guilherme, da Rosa Righi, Rodrigo

“… The evolution of parallel architectures points to dynamic environments where the number of available resources or configurations may vary during the execution of applications …”
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Max-PIM: Fast and Efficient Max/Min Searching in DRAM von Zhang, Fan, Angizi, Shaahin, Fan, Deliang

“… Recently, in-DRAM computing is becoming one promising technique to address the notorious 'memory-wall' issue for big data processing …”
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Chasing Away RAts: Semantics and evaluation for relaxed atomics on heterogeneous systems von Sinclair, Matthew D., Alsop, Johnathan, Adve, Sarita V.

“… An unambiguous and easy-to-understand memory consistency model is crucial for ensuring correct synchronization and guiding future design of heterogeneous …”
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Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme von Moses, William S., Churavy, Valentin, Paehler, Ludger, Huckelheim, Jan, Narayanan, Sri Hari Krishna, Schanen, Michel, Doerfert, Johannes

“… Computing derivatives is key to many algorithms in scientific computing and machine learning such as optimization, uncertainty quantification, and stability analysis …”
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SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library von Gates, Mark, Kurzak, Jakub, Charara, Ali, YarKhan, Asim, Dongarra, Jack

“… SLATE will provide coverage of existing ScaLAPACK functionality, including the parallel BLAS …”
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A Parallel Computing Method for the Computation of the Moore-Penrose Generalized Inverse for Shared-Memory Architectures von Gelvez-Almeida, Elkin, Barrientos, Ricardo J., Vilches-Ponce, Karina, Mora, Marco

“… In this paper, we propose a parallel computing method for the computation of the Moore-Penrose generalized inverse of large-size full-rank rectangular matrices …”
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Domain decomposition with discrete element simulations using shared-memory parallel computing for railways applications von Hoang, T.M.P., Saussine, G., Dureisseix, D., Alart, P.

“… To reduce computational costs, we study the use of two strategies: domain decomposition methods and shared-memory parallelisation with OpenMP …”
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DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication von Lu, Yuechen, Liu, Weifeng

“… Sparse matrix-vector multiplication (SpMV) plays a key role in computational science and engineering, graph processing, and machine learning applications. Much …”
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Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs von Trotter, James D., Ekmekcibasi, Sinan, Langguth, Johannes, Torun, Tugba, Duzakin, Emre, Ilic, Aleksandar, Unat, Didem

“… Many real-world computations involve sparse data structures in the form of sparse matrices. A common strategy for optimizing sparse matrix operations is to …”
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Understanding Priority-Based Scheduling of Graph Algorithms on a Shared-Memory Platform von Yesil, Serif, Heidarshenas, Azin, Morrison, Adam, Torrellas, Josep

“… It performs a detailed empirical performance analysis of several advanced CPS designs in a state-of-the-art graph analytics framework running on a large shared-memory server …”
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A flexible sparse matrix data format and parallel algorithms for the assembly of finite element matrices on shared memory systems von Sky, Adam, Polindara, César, Muench, Ingo, Birk, Carolin

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Almost Deterministic Work Stealing von Shiina, Shumpei, Taura, Kenjiro

“… With task parallel models, programmers can easily parallelize divide-and-conquer algorithms by using nested fork-join structures …”
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NestedMP: Enabling cache-aware thread mapping for nested parallel shared memory applications von He, Jiangzhou, Chen, Wenguang, Tang, Zhizhong

“… •Task-core mapping schemas for nested-parallel applications may affect performance …”
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Novel parallel method for association rule mining on multi-core shared memory systems von Vu, Lan, Alaghband, Gita

“… •ShaFEM: a novel association rule mining method for multi-core shared memory systems …”
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STM-Multifrontal QR: Streaming Task Mapping Multifrontal QR Factorization Empowered by GCN von Lin, Shengle, Yang, Wangdong, Wang, Haotian, Tsai, Qinyun, Li, Kenli

“… % higher than that of prior work. Moreover, for numerical factorization, an optimized tasks stream parallel processing strategy is proposed and a more efficient computing task mapping framework for NUMA architecture is adopted …”
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TSHMEM: Shared-Memory Parallel Computing on Tilera Many-Core Processors von Lam, Bryant C., George, Alan D., Lam, Herman

“… Fortunately, a partitioned global address space (PGAS) programming model has demonstrated realizable performance and productivity potential for large parallel computing systems with distributed-memory architectures …”
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Implementation of QR and LQ decompositions on shared memory parallel computing systems von Egunov, V., Andreev, A.

“… The paper presents some results of research of applicability of various computing schemes of implementing QR and LQ matrix decompositions for shared memory parallel systems …”
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Concurrent computation of topological watershed on shared memory parallel machines von Mahmoudi, Ramzi, Akil, Mohamed, Bedoui, Mohamed Hédi

“… •We set up an adequate parallelization approach that guides a parallel watershed computing …”
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