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Multicore Desktop Programming with Intel Threading Building Blocks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-0348-8534-8_18openalex-snapshot
Assessing the Usability of Parallel Programming Systems: The Cowichan Problems
inferredcites →https://doi.org/10.1109/hips.2004.1299186openalex-snapshot
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x86-TSO
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The implementation of the Cilk-5 multithreaded language

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review
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Steal Locally, Share Globally
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Parallel programming models for heterogeneous many-cores: a comprehensive survey
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Comparison of two accelerators for Monte Carlo radiation transport calculations, Nvidia Tesla M2090 GPU and Intel Xeon Phi 5110p coprocessor: A case study for X-ray CT imaging dose calculation
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inferred← citeshttps://doi.org/10.1016/j.cpc.2026.110094openalex-snapshot
Multi-GPU acceleration of PALABOS fluid solver using C++ standard parallelism
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Application of metaheuristic algorithms to the identification of nonlinear magneto-viscoelastic constitutive parameters
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Comparison of Two Accelerators for Monte Carlo Radiation Transport Calculations, NVIDIA Tesla M2090 GPU and Intel Xeon Phi 5110p Coprocessor: A Case Study for X-ray CT Imaging Dose Calculation
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Parallelism as a Concern in Java through Fork-join Synchronization Patterns
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The Art of Efficient In-memory Query Processing on NUMA Systems: a Systematic Approach
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Accelerating Multimedia Applications Using Intel Threading Building Blocks on Multi-Core Processors
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UPC++: A PGAS Extension for C++
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Number of Tasks, not Threads, is Key
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CHAOS-MCAPI: An Optimized Mechanism to Support Multicore Parallel Programming
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A Survey of Parallel Programming Models and Tools in the Multi and Many-Core Era
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Design and Analysis of the Network Software Stack of an Asynchronous Many-task System -- The LCI parcelport of HPX
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High-Performance Divide-and-conquer Algorithms: A Comprehensive Framework with Recursive Parallel Decomposition and Hardware-aware Optimization
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Multimodal microscopy for the simultaneous visualization of five different imaging modalities using a single light source
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Hardware design of task superscalar architecture
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