Výsledky vyhľadávania - parallelization of programming code

T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware Autor Ying, Victor A., Jeffrey, Mark C., Sanchez, Daniel

“…Multicores are now ubiquitous, but programmers still write sequential code. Speculative parallelization is an enticing approach to parallelize code while retaining the ease of sequential programming, making parallelism pervasive…”
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The principles of building a machine-learning-based service for converting sequential code into parallel code Autor Viktorov, Ivan, Gibadullin, Ruslan

“…This article presents a novel approach for automating the parallelization of programming code using machine learning…”
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Source-to-source compilation targeting OpenMP-based automatic parallelization of C applications Autor Arabnejad, Hamid, Bispo, João, Cardoso, João M. P., Barbosa, Jorge G.

“… Although these approaches significantly help developers, code parallelization is still a non-trivial and time-consuming process, requiring parallel programming skills…”
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Preface to the Special Issue on Sequential Code Parallelization Autor Wang, Chao, Nedjah, Nadia, Mourelle, Luiza M., Wang, Aili

“…Issue Title: Special Issue on Sequential Code Parallelization…”
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An assessment of large language models for OpenMP-based code parallelization: a user perspective Autor Mišić, Marko, Dodović, Matija

“… In this paper, we perform an evaluation of the ChatGPT and Github Copilot tools for OpenMP-based code parallelization using a proposed methodology…”
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Parallelization of sequential Gaussian, indicator and direct simulation algorithms Autor Nunes, Ruben, Almeida, José A.

“… In geostatistics, sequential simulation algorithms are good candidates for parallelization. When compared with other computational applications in geosciences…”
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A new thread-level speculative automatic parallelization model and library based on duplicate code execution Autor Martínez, Millán A., Fraguela, Basilio B., Cabaleiro, José C., Rivera, Francisco F.

“…Loop-efficient automatic parallelization has become increasingly relevant due to the growing number of cores in current processors and the programming effort needed to parallelize codes in these systems efficiently…”
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Domain-specific acceleration and auto-parallelization of legacy scientific code in FORTRAN 77 using source-to-source compilation Autor Vanderbauwhede, Wim, Davidson, Gavin

“… However, porting code to such devices requires a detailed understanding of heterogeneous programming tools and effective strategies for parallelization…”
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Parallelization of Radia magnetostatics code Autor Banerjee, A, Chubar, O, Le Bec, G, Chavanne, J, Nash, B, Hall, C, Edelen, J

“… The parallelization of the code was implemented on C++ level, where the semi-analytical calculations of interaction matrix elements and resultant magnetic fields were parallelized using the Message Passing Interface…”
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Language-based vectorization and parallelization using intrinsics, OpenMP, TBB and Cilk Plus Autor Stpiczyński, Przemysław

“… that need both task and data parallelization techniques. We show how to use these models of parallel programming to transform a source code of Adaptive…”
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On the parallelization of multipacting simulation codes for the design of particle accelerator components Autor Navaridas, Javier, Pascual, Jose A., Galarza, Julen, Romero, Txomin, Muñoz, Juan L., Bustinduy, Ibon

“… Then we analyze the original program’s operation to find the best options for parallelization. We first developed a parallel version of the Multipacting simulation and were able to accelerate the execution up to ∼ 35…”
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Parallelization Technique using Hybrid Programming Model Autor Algarni, Abdullah, Alofi, Abdulraheem, Eassa, Fathy

“… Besides, running the software codes sequentially increases the execution time in huge and complex programs…”
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Parallelization Hints via Code Skeletonization Autor Aguston, Cfir, Ben Asher, Yosi, Haber, Gadi

“… We propose a new paradigm to overcome this issue by automatically transforming the code' into a much simpler skeleton-like form that is more conductive for auto-parallelization…”
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Advancing Interactive Parallelization: iCetus Autor Barakhshan, Parinaz, Eigenmann, Rudolf

“…Despite advancements in parallelization tools, optimizing scientific applications remains a complex and time-consuming task due to the iterative nature of the optimization process and the expertise…”
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Automatic code parallelization for data-intensive computing in multicore systems Autor Subramanian, Ranjini, Zhang, Hui

“… of all cores is not guaranteed. Knowledge of parallel programming is necessary to ensure the use of processing power offered by multi-processor systems in order to achieve better performance…”
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SelfSplit parallelization for mixed-integer linear programming Autor Fischetti, Matteo, Monaci, Michele, Salvagnin, Domenico

“…•SelfSplit an easy-to-implement way to parallelize a sequential tree-search code…”
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Parallelization of torsion finite element code using compressed stiffness matrix algorithm Autor Sefidgar, Seyed Mohammad Hassan, Firoozjaee, Ali Rahmani, Dehestani, Mehdi

“… The finite element code was parallelized on both shared and distributed memory architectures…”
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Task Mapping and Scheduling on RISC-V MIMD Processor With Vector Accelerator Using Model-Based Parallelization Autor Wu, Shanwen, Kumano, Satoshi, Marume, Kei, Edahiro, Masato

“…In this paper, we propose a model-based workflow to generate parallel code on a multiple instruction stream, multiple data stream (MIMD…”
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CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control Autor Jeon, Se Hwan, Hong, Seungwoo, Lee, Ho Jae, Khazoom, Charles, Kim, Sangbae

“… In this work, we present CusADi , an extension of the casadi symbolic framework to support the parallelization of arbitrary closed-form expressions on GPUs with CUDA…”
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Fast Acceleration of 2D Wave Propagation Simulations Using Modern Computational Accelerators Autor Wang, Wei, Xu, Lifan, Cavazos, John, Huang, Howie H., Kay, Matthew

“… before. However, efficient parallelization of scientific code using new programming tools like CUDA requires a high level of expertise that is not available to many scientists…”
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