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2025 ACVIM Forum Research Abstract Program
Journal of Veterinary Internal Medicine, Volume 39, Issue 6, November/December 2025.
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Proceedings of the 29th ACM on International Conference on Supercomputing, 2015
Stream computing is often associated with regular, data-intensive applications, and more specifically with the family of cyclo-static data-flow models. The term also refers to bulk-synchronous data parallelism on SIMD architectures. Both interpretations are valid but incomplete: streams underline the formal definition of Kahn process networks, a ...
Albert Cohen
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Stream computing is often associated with regular, data-intensive applications, and more specifically with the family of cyclo-static data-flow models. The term also refers to bulk-synchronous data parallelism on SIMD architectures. Both interpretations are valid but incomplete: streams underline the formal definition of Kahn process networks, a ...
Albert Cohen
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Isolation for nested task parallelism
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications, 2013Isolation--the property that a task can access shared data without interference from other tasks--is one of the most basic concerns in parallel programming. Whilethere is a large body of past work on isolated task-parallelism, the integration of isolation, task-parallelism, and nesting of tasks has been a difficult and unresolved challenge. In this pa-
Zoran Budimlić +4 more
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Task-Parallel Programming with Constrained Parallelism
IEEE Conference on High Performance Extreme Computing, 2022Task graph programming model (TGPM) has become central to a wide range of scientific computing applications because it enables top-down optimization of parallelism that governs the macro-scale performance.
Tsung-Wei Huang, L. Hwang
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Efficiently Supporting Dynamic Task Parallelism on Heterogeneous Cache-Coherent Systems
International Symposium on Computer Architecture, 2020Manycore processors, with tens to hundreds of tiny cores but no hardware-based cache coherence, can offer tremendous peak throughput on highly parallel programs while being complexity and energy efficient.
Moyang Wang, T. Ta, Lin Cheng, C. Batten
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On Scheduling Parallel Tasks at Twilight [PDF]
Theory of Computing Systems, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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GPU-based Collaborative Filtering Recommendation System using Task parallelism approach
2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on, 2018Collaborative filtering is one among the top most preferred techniques when implementing recommendation systems. In recent times, more interest has turned towards parallel GPU-based implementation of collaborative filtering algorithms.
N. Sivaramakrishnan, V. Subramaniyaswamy
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Parallelization using task parallel library with task-based programming model
2014 IEEE 5th International Conference on Software Engineering and Service Science, 2014In order to reduce the complexity of traditional multithreaded parallel programming, this paper explores a new task-based parallel programming using the Microsoft .NET Task Parallel Library (TPL). Firstly, this paper proposes a custom data partitioning optimization method to achieve an efficient data parallelism, and applies it to the matrix ...
Nasser Giacaman +4 more
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