Results 241 to 250 of about 3,227,937 (329)
A framework for processing large-scale health data in medical higher-order correlation mining by quantum computing in smart healthcare. [PDF]
Mei P, Zhang F.
europepmc +1 more source
Advanced Design for High-Performance and AI Chips. [PDF]
Cao Y, Chen Y, Fan X, Fu H, Xu B.
europepmc +1 more source
Exploring Smartphone-Based Edge AI Inferences Using Real Testbeds. [PDF]
Hirsch M, Mateos C, Majchrzak TA.
europepmc +1 more source
Distinct roles of hippocampus and neocortex in symbolic compositional generalization
Liang Z +5 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Task-Parallel Programming with Constrained Parallelism
2022 IEEE High Performance Extreme Computing Conference (HPEC), 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, Leslie Hwang
openaire +2 more sources
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
openaire +3 more sources
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
openaire +3 more sources
Runtime-adaptive generalized task parallelism
2017Part of the work presented in this thesis was performed in the context of the SoftwareCluster project EMERGENT (http://www.software-cluster.org). It was funded by the German Federal Ministry of Education and Research (BMBF) under grant no. “01IC10S01”.
Kevin Streit
openaire +2 more sources
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
semanticscholar +1 more source
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 ...
Xinhong Hei +4 more
openaire +1 more source

