Suchergebnisse - parallelization of programming code

T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware von 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 …”
Volltext

The principles of building a machine-learning-based service for converting sequential code into parallel code von Viktorov, Ivan, Gibadullin, Ruslan

“… This article presents a novel approach for automating the parallelization of programming code using machine learning …”
Volltext

Source-to-source compilation targeting OpenMP-based automatic parallelization of C applications von 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 …”
Volltext

Preface to the Special Issue on Sequential Code Parallelization von Wang, Chao, Nedjah, Nadia, Mourelle, Luiza M., Wang, Aili

“… Issue Title: Special Issue on Sequential Code Parallelization …”
Volltext

An assessment of large language models for OpenMP-based code parallelization: a user perspective von 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 …”
Volltext

Parallelization of sequential Gaussian, indicator and direct simulation algorithms von Nunes, Ruben, Almeida, José A.

“… In geostatistics, sequential simulation algorithms are good candidates for parallelization. When compared with other computational applications in geosciences …”
Volltext

A new thread-level speculative automatic parallelization model and library based on duplicate code execution von 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 …”
Volltext

Domain-specific acceleration and auto-parallelization of legacy scientific code in FORTRAN 77 using source-to-source compilation von Vanderbauwhede, Wim, Davidson, Gavin

“… However, porting code to such devices requires a detailed understanding of heterogeneous programming tools and effective strategies for parallelization …”
Volltext

Parallelization of Radia magnetostatics code von 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 …”
Volltext

Language-based vectorization and parallelization using intrinsics, OpenMP, TBB and Cilk Plus von 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 …”
Volltext

Today's TBB: C++ Parallel Programming with Threading Building Blocks von Voss, Michael J, Reinders, James R

“… ). Authored by two experts in TBB and parallel programming, the book distills decades of collective experience in developing and teaching parallel programming concepts, presenting insights in a clear and accessible manner …”
Volltext

On the parallelization of multipacting simulation codes for the design of particle accelerator components von 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 …”
Volltext

Parallelization Technique using Hybrid Programming Model von Algarni, Abdullah, Alofi, Abdulraheem, Eassa, Fathy

“… Besides, running the software codes sequentially increases the execution time in huge and complex programs …”
Volltext

Parallelization Hints via Code Skeletonization von 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 …”
Volltext

Advancing Interactive Parallelization: iCetus von 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 …”
Volltext

Automatic code parallelization for data-intensive computing in multicore systems von 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 …”
Volltext

SelfSplit parallelization for mixed-integer linear programming von Fischetti, Matteo, Monaci, Michele, Salvagnin, Domenico

“… •SelfSplit an easy-to-implement way to parallelize a sequential tree-search code …”
Volltext

Parallelization of torsion finite element code using compressed stiffness matrix algorithm von Sefidgar, Seyed Mohammad Hassan, Firoozjaee, Ali Rahmani, Dehestani, Mehdi

“… The finite element code was parallelized on both shared and distributed memory architectures …”
Volltext

Task Mapping and Scheduling on RISC-V MIMD Processor With Vector Accelerator Using Model-Based Parallelization von 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 …”
Volltext

CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal Control von 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 …”
Volltext