Suchergebnisse - Concurrent Programming—Parallel programming Keywords load balance*

Quantifying the effectiveness of load balance algorithms

Autoren: Olga Pearce Todd Gamblin Bronis R. De Supinski et al.

Weitere Verfasser: Olga Pearce Todd Gamblin Bronis R. De Supinski et al.

Quelle: https://parasol.tamu.edu/publications/download.php?file_id=750.

Schlagwörter: Categories and Subject Descriptors C.4 [Performance of Systems, Performance attributes, Model- ing techniques, I.6.8 [Simulation and Modeling, Types of Sim- ulation—Parallel, D.1.3 [Programming Techniques, Concurrent Programming—Parallel programming Keywords load balance, performance, modeling, simulation, framework

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.642.5420

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.642.5420

Kendo: Efficient Deterministic Multithreading in Software

Autoren: Marek Olszewski Jason Ansel Saman Amarasinghe et al.

Weitere Verfasser: Marek Olszewski Jason Ansel Saman Amarasinghe et al.

Quelle: http://people.csail.mit.edu/mareko//asplos073-olszewski.pdf.

Schlagwörter: Categories and Subject Descriptors D.1.3 [Programming Techniques, Concurrent Programming – Parallel Program- ming, D.2.5 [Software Engineering, Testing and Debug- ging – Debugging Aids, D.4.1 [Operating Systems, Pro- cess Management – Synchronization General Terms Design, Reliability, Performance Keywords Deterministic Multithreading, Determinism, Parallel Programming, Debugging, Multicore

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.506.3175

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.506.3175
http://people.csail.mit.edu/mareko//asplos073-olszewski.pdf

Juggle: Proactive Load Balancing on Multicore Computers ABSTRACT

Autoren: Steven Hofmeyr Costin Iancu The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Steven Hofmeyr Costin Iancu The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.berkeley.edu/~kubitron/papers/parlab/hpdc179s1-hofmeyr.pdf.

Schlagwörter: Categories and Subject Descriptors D.1.3 [Programming Techniques, Concurrent Programming – Parallel Programming, D.4.1 [Operating Systems, Process Management – Scheduling General Terms Experimentation, Theory, Performance, Measurements Keywords Proactive Load Balancing, Parallel Programming, Operating System, Muticore, Load balancing

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.585

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.585
http://www.cs.berkeley.edu/~kubitron/papers/parlab/hpdc179s1-hofmeyr.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#

A stencil compiler for short-vector simd architectures

Autoren: Tom Henretty Richard Veras Franz Franchetti et al.

Weitere Verfasser: Tom Henretty Richard Veras Franz Franchetti et al.

Quelle: http://www.cs.ucla.edu/%7Epouchet/doc/ics-article.13.pdf.

Schlagwörter: Categories and Subject Descriptors D.1.3 [Programming Techniques, Concurrent Programming— Parallel Programming, D.3.4 [Programming Languages, Pro- cessors—Code Generation, Compilers Keywords DSL, Multicore, SIMD, Split Tiling, Stencils

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.998

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.998
http://www.cs.ucla.edu/%7Epouchet/doc/ics-article.13.pdf

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

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

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

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

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

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

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

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

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

Autoren: Krogulski, Piotr Rak, Tomasz

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

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

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

Meerkat: A Framework for Dynamic Graph Algorithms on GPUs.

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

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

Schlagwörter: PARALLEL programming, REPRESENTATIONS of graphs, PARALLEL processing, STRUCTURAL frames, MEERKAT

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

Autoren: Wysocki, Włodzimierz Miciuła, Ireneusz Plecka, Przemysław

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

Schlagwörter: INFORMATION technology, ECONOMIC forecasting, ELECTRIC power consumption, ENERGY consumption, ENERGY management

LSH SimilarityJoin Pattern in FastFlow.

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

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

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

Self‐adaptation on parallel stream processing: A systematic review.

Autoren: Vogel, Adriano Griebler, Dalvan Danelutto, Marco et al.

Quelle: Concurrency & Computation: Practice & Experience; 3/10/2022, Vol. 34 Issue 6, p1-30, 30p

Schlagwörter: PARALLEL processing, DATA flow computing, PARALLEL programming, STREAMFLOW, AUTONOMIC computing, VEINS

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

Lazy Scheduling: A Runtime Adaptive Scheduler for Declarative Parallelism.

Autoren: TZANNES, ALEXANDROS CARAGEA, GEORGE C. VISHKIN, UZI et al.

Quelle: ACM Transactions on Programming Languages & Systems; Aug2014, Vol. 36 Issue 3, p10:1-10:51, 51p

Schlagwörter: PARALLEL scheduling (Computer scheduling), PARALLEL processing, PARALLEL programming, LOAD balancing (Computer networks), PROGRAMMING languages

Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors.

Autoren: Rodríguez-Sánchez, Rafael Castelló, Adrián Catalán, Sandra et al.

Quelle: International Journal of High Performance Computing Applications; Mar2024, Vol. 38 Issue 2, p55-68, 14p

Schlagwörter: MULTICORE processors, LINEAR algebra