Suchergebnisse - Concurrent Programming—Parallel Programming Keywords Parallelism Mapping

Smart, Adaptive Mapping of Parallelism in the Presence of External Workload

Autoren: Murali Krishna Emani Zheng Wang Michael et al.

Weitere Verfasser: Murali Krishna Emani Zheng Wang Michael et al.

Quelle: http://homepages.inf.ed.ac.uk/s0975516/files/CGO-paper-final.pdf.

Schlagwörter: Categories and Subject Descriptors D.3.4 [Program- ming Languages, Processors—Compilers, Optimization, Run-time environments, D.1.3 [Programming Techniques, Concurrent Programming—Parallel Programming Keywords Parallelism Mapping, Runtime adaptation, Ma- chine Learning

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.6430

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.648.6430
http://homepages.inf.ed.ac.uk/s0975516/files/CGO-paper-final.pdf

A domain-specific approach to heterogeneous parallelism

Autoren: Hassan Chafi Arvind K. Sujeeth Kevin J. Brown et al.

Weitere Verfasser: Hassan Chafi Arvind K. Sujeeth Kevin J. Brown et al.

Quelle: http://ppl.stanford.edu/papers/ppopp20-chafi.pdf.

Schlagwörter: Categories and Subject Descriptors D.1.3 [Programming Tech- niques, Concurrent Programming – Parallel programming, D.3.4 [Programming Languages, Processors – Code generation, Opti- mization, Run-time environments General Terms Languages, Performance Keywords Parallel Programming, Domain-Specific Languages, Dynamic Optimizations

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.4729

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.4729
http://ppl.stanford.edu/papers/ppopp20-chafi.pdf

Multiprocessor mapping of process networks: a JPEG decoding case study

Autoren: E. A. De Kock The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: E. A. De Kock The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cecs.uci.edu/~papers/compendium94-03/papers/2002/isss02/pdffiles/p068.pdf.

Schlagwörter: Techniques, Concurrent Programming – parallel programming. D.2.13 [Software Engineering, Reusable Software. D.3.4 [Programming Languages, Processors – optimization. J.7 [Computers in Other Systems, Consumer products. General Terms Algorithms, performance, design, standardization, languages. Keywords Multiprocessor mapping, process network, code transformation, system design method

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.6105

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.6105
http://www.cecs.uci.edu/~papers/compendium94-03/papers/2002/isss02/pdffiles/p068.pdf

Functional and Concurrent Programming : Core Concepts and Features

Autoren: Michel Charpentier

Resource Type: eBook.

Schlagworte: Computer multitasking, Object-oriented programming (Computer science)

Categories: COMPUTERS / Languages / General, COMPUTERS / Programming / Parallel, COMPUTERS / Languages / Java, COMPUTERS / Languages / C#

Scalable Address Spaces Using RCU Balanced Trees

Autoren: Austin T. Clements M. Frans Kaashoek Nickolai Zeldovich et al.

Weitere Verfasser: Austin T. Clements M. Frans Kaashoek Nickolai Zeldovich et al.

Quelle: http://pdos.csail.mit.edu/papers/rcuvm%3Aasplos12.pdf.

Schlagwörter: Categories and Subject Descriptors D.4.1 [Operating Systems, Process Management, E.1 [Data Structures, Trees, D.1.3 [Programming Techniques, Concurrent Programming—Parallel programming General Terms Algorithms, Design, Performance Keywords RCU, Virtual memory, Multicore, Lock-free algorithms, Concurrent balanced trees, Scalability

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.5902; http://pdos.csail.mit.edu/papers/rcuvm%3Aasplos12.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.5902
http://pdos.csail.mit.edu/papers/rcuvm%3Aasplos12.pdf

Scalable Address Spaces Using RCU Balanced Trees

Autoren: Austin T. Clements M. Frans Kaashoek Nickolai Zeldovich et al.

Weitere Verfasser: Austin T. Clements M. Frans Kaashoek Nickolai Zeldovich et al.

Quelle: http://people.csail.mit.edu/nickolai/papers/clements-bonsai.pdf.

Schlagwörter: Categories and Subject Descriptors D.4.1 [Operating Systems, Process Management, E.1 [Data Structures, Trees, D.1.3 [Programming Techniques, Concurrent Programming—Parallel programming General Terms Algorithms, Design, Performance Keywords RCU, Virtual memory, Multicore, Lock-free algorithms, Concurrent balanced trees, Scalability

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.7863

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.7863
http://people.csail.mit.edu/nickolai/papers/clements-bonsai.pdf

Concurrent Programming on Windows

Autoren: Joe Duffy

Resource Type: eBook.

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

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

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

Autoren: Riccardo Terrell

Resource Type: eBook.

Schlagworte: 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

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

Autoren: Michael Voss Rafael Asenjo James Reinders

Resource Type: eBook.

Schlagworte: 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

Learning Concurrent Programming in Scala : Practical Multithreading in Scala

Autoren: Aleksandar Prokopec

Resource Type: eBook.

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

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

Python High Performance, Second Edition : Build High-performing, Concurrent, and Distributed Applications

Autoren: Dr. Gabriele Lanaro

Resource Type: eBook.

Schlagworte: Computer programming, Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Languages / General, COMPUTERS / Programming / Parallel

Rust in Action

Autoren: Tim McNamara

Resource Type: eBook.

Schlagworte: Rust (Computer program language), Computer programming, Systems programming (Computer science)

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

Massively parallel localization of pulsed signal transitions using a GPU.

Autoren: Khambadkar, Vinitha Barford, Lee Harris, Frederick C.

Quelle: 2012 IEEE International Instrumentation & Measurement Technology Conference Proceedings; 1/ 1/2012, p2173-2177, 5p

Specx: a C++ task-based runtime system for heterogeneous distributed architectures.

Autoren: Cardosi, Paul Bramas, Bérenger

Quelle: PeerJ Computer Science; Jul2025, p1-34, 34p

Schlagwörter: HETEROGENEOUS distributed computing, HIGH performance computing, CENTRAL processing units, PARALLEL algorithms, C++, DISTRIBUTED computing, GRAPHICS processing units, PARALLEL programming

Mastering Concurrency in Python : Create Faster Programs Using Concurrency, Asynchronous, Multithreading, and Parallel Programming

Autoren: Quan Nguyen

Resource Type: eBook.

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

Programming parallel dense matrix factorizations with look-ahead and OpenMP.

Autoren: Catalán, Sandra Castelló, Adrián Igual, Francisco D. et al.

Quelle: Cluster Computing; Mar2020, Vol. 23 Issue 1, p359-375, 17p

Schlagwörter: MATRIX decomposition, PARALLEL programming, LINEAR algebra, PARALLEL algorithms, HIGH performance computing

Synchronous Deterministic Parallel Programming for Multi-Cores with ForeC.

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

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

Schlagwörter: PARALLEL programming, MULTICORE processors, PROGRAMMING languages, PITFALL traps, DEBUGGING

A Parallelization of Non-Serial Polyadic Dynamic Programming on GPU.

Autoren: Diwan, Tausif Tembhurne, Jitendra

Quelle: Journal of Computing & Information Technology; Jun2019, Vol. 27 Issue 2, p55-66, 12p

Schlagwörter: DYNAMIC programming, COMPUTATIONAL complexity, PARALLEL programming

A novel parallel combinatorial algorithm for multiparametric programming.

Autoren: Kenefake, Dustin Pistikopolous, Efstratios N.

Quelle: Optimization & Engineering; Sep2024, Vol. 25 Issue 3, p1333-1361, 29p

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

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

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

Schlagwörter: SOFTWARE refactoring, GRAPHICS processing units, MACHINERY, PARALLEL programming, SKELETON