Search Results - concurrent programming—parallel programming keywords (lack OR back)-free data structures

Boundary-Aware Concurrent Queue: A Fast and Scalable Concurrent FIFO Queue on GPU Environments.

Authors: Polak, Md. Sabbir Hossain Troendle, David A. Jang, Byunghyun

Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p1834, 20p

Subject Terms: PARALLEL programming, FIRST in, first out (Queuing theory), DATA structures, THREAD (Textiles), SYNCHRONIZATION

LSH SimilarityJoin Pattern in FastFlow.

Authors: Tonci, Nicolò Rivault, Sébastien Bamha, Mostafa et al.

Source: International Journal of Parallel Programming; Jun2024, Vol. 52 Issue 3, p207-230, 24p

Subject Terms: ELECTRONIC data processing, PARALLEL programming, C++, DATA analysis, PARALLEL algorithms, DATA structures

Meerkat: A Framework for Dynamic Graph Algorithms on GPUs.

Authors: Concessao, Kevin Jude Cheramangalath, Unnikrishnan Dev, Ricky et al.

Source: International Journal of Parallel Programming; Dec2024, Vol. 52 Issue 5/6, p400-453, 54p

Subject Terms: PARALLEL programming, REPRESENTATIONS of graphs, PARALLEL processing, STRUCTURAL frames, MEERKAT

Toward a BLAS library truly portable across different accelerator types.

Authors: Rodriguez-Gutiez, Eduardo Moreton-Fernandez, Ana Gonzalez-Escribano, Arturo et al.

Source: Journal of Supercomputing; Nov2019, Vol. 75 Issue 11, p7101-7124, 24p

Subject Terms: COMPUTING platforms, LINEAR algebra, SUPPORT groups, COPROCESSORS, DATA structures, PORTABLE computers

Dynamic Skyline Computation with LSD Trees †.

Authors: Köppl, Dominik

Source: Analytics (2813-2203); Mar2023, Vol. 2 Issue 1, p146-162, 17p

Subject Terms: PARALLEL algorithms, DATA structures, GEOMETRIC analysis, DECISION trees, RECOMMENDER systems

Mille Cheval: a GPU-based in-memory high-performance computing framework for accelerated processing of big-data streams.

Authors: Kumar, Vivek Sharma, Dilip Kumar Mishra, Vinay Kumar

Source: Journal of Supercomputing; Jul2021, Vol. 77 Issue 7, p6936-6960, 25p

Subject Terms: GRAPHICS processing units, PARALLEL algorithms, ERROR rates, DATA structures, ALGORITHMS

M.L.: NOrec: Streamlining STM by abolishing ownership records

Authors: Luke Dalessandro Michael F. Spear Michael L. Scott et al.

Contributors: Luke Dalessandro Michael F. Spear Michael L. Scott et al.

Source: http://ftp.cs.rochester.edu/u/scott/papers/2010_ppopp_NOrec.pdf.

Subject Terms: Categories and Subject Descriptors D.1.3 [Programming Techniques, Concurrent Programming—Parallel Programming, D.3.4 [Programming Languages, Processors—Run-time environments General Terms Algorithms, Performance Keywords Ownership Records, Software Transactional Memory, Transactional Memory, Transactional Memory Models

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.380.2680; http://ftp.cs.rochester.edu/u/scott/papers/2010_ppopp_NOrec.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.380.2680
http://ftp.cs.rochester.edu/u/scott/papers/2010_ppopp_NOrec.pdf

Pro TBB : C++ Parallel Programming with Threading Building Blocks

Authors: Michael Voss Rafael Asenjo James Reinders

Resource Type: eBook.

Subjects: Computer science, Computer software, Data structures (Computer science)

Categories: COMPUTERS / Programming / Compilers, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Programming / General, COMPUTERS / Programming / Algorithms

C++ High Performance : Master the Art of Optimizing the Functioning of Your C++ Code

Authors: Björn Andrist Viktor Sehr

Resource Type: eBook.

Subjects: C++ (Computer program language), Application software--Development

Categories: COMPUTERS / Languages / C++, COMPUTERS / Programming / Parallel, COMPUTERS / Programming / Algorithms

Concurrency in .NET : Modern Patterns of Concurrent and Parallel Programming

Authors: Riccardo Terrell

Resource Type: eBook.

Subjects: Microsoft .NET Framework, Parallel programming (Computer science), Computer multitasking

Categories: COMPUTERS / Languages / C#, COMPUTERS / Programming / Parallel, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Microsoft, COMPUTERS / Languages / .NET

Learning Concurrent Programming in Scala : Practical Multithreading in Scala

Authors: Aleksandar Prokopec

Resource Type: eBook.

Subjects: Scala (Computer program language), Application software--Development

Categories: COMPUTERS / Languages / Java, COMPUTERS / Distributed Systems / General, COMPUTERS / Programming / Parallel

Concurrent Programming on Windows

Authors: Joe Duffy

Resource Type: eBook.

Subjects: Microsoft Windows (Computer file), Parallel programming (Computer science), Electronic data processing--Distributed processi, Computer multitasking

Categories: COMPUTERS / Networking / General, COMPUTERS / Programming / Parallel

A multi-core computing approach for large-scale multi-label classification.

Authors: Rodriguez, Juan Manuel Godoy, Daniela Mateos, Cristian et al.

Source: Intelligent Data Analysis; 2017, Vol. 21 Issue 2, p329-352, 24p

Subject Terms: SIMULATED annealing, INFORMATION organization, FILING systems (Documents), CATALOGING, MATHEMATICAL category theory

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications.

Authors: Krogulski, Piotr Rak, Tomasz

Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7433, 32p

Subject Terms: HIGH performance computing, MACHINE learning, CONTAINER design & construction, PARALLEL programming, ADAPTIVE computing systems, ANOMALY detection (Computer security), VIRTUAL machine systems, COMPUTER workstation clusters

M‐DFCPP: A runtime library for multi‐machine dataflow computing.

Authors: Luo, Qiuming Liu, Senhong Huang, Jinke et al.

Source: Concurrency & Computation: Practice & Experience; Nov2024, Vol. 36 Issue 24, p1-19, 19p

Subject Terms: DIRECTED acyclic graphs, DATA flow computing, RANDOM graphs, TREE graphs, PARALLEL processing

Synchronous Deterministic Parallel Programming for Multi-Cores with ForeC.

Authors: YIP, EUGENE GIRAULT, ALAIN ROOP, PARTHA S. et al.

Source: ACM Transactions on Programming Languages & Systems; Jun2023, Vol. 45 Issue 2, p1-74, 74p

Subject Terms: PARALLEL programming, MULTICORE processors, PROGRAMMING languages, PITFALL traps, DEBUGGING

A Survey on Parallelism and Determinism.

Authors: GONNORD, LAURE HENRIO, LUDOVIC MOREL, LIONEL et al.

Source: ACM Computing Surveys; Oct2023, Vol. 55 Issue 10, p1-28, 28p

Subject Terms: PROGRAMMING languages, PERSPECTIVE taking, PARALLEL programming

Methods of Improving Software Energy Efficiency: A Systematic Literature Review and the Current State of Applied Methods in Practice.

Authors: Wysocki, Włodzimierz Miciuła, Ireneusz Plecka, Przemysław

Source: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1331, 28p

Subject Terms: INFORMATION technology, ECONOMIC forecasting, ELECTRIC power consumption, ENERGY consumption, ENERGY management

Distributed-Memory FastFlow Building Blocks.

Authors: Tonci, Nicolò Torquati, Massimo Mencagli, Gabriele et al.

Source: International Journal of Parallel Programming; Feb2023, Vol. 51 Issue 1, p1-21, 21p

Subject Terms: DATA transmission systems, PARALLEL programming

Refactoring for introducing and tuning parallelism for heterogeneous multicore machines in Erlang.

Authors: Janjic, Vladimir Brown, Christopher Barwell, Adam et al.

Source: Concurrency & Computation: Practice & Experience; 7/25/2021, Vol. 33 Issue 14, p1-25, 25p

Subject Terms: SOFTWARE refactoring, GRAPHICS processing units, MACHINERY, PARALLEL programming, SKELETON