Results 51 to 60 of about 3,115,284 (271)
Task decomposition using pattern distributor [PDF]
, 2004 In this paper, we propose a new task decomposition method for multilayered feedforward neural networks, namely Task Decomposition with Pattern Distributor in order to shorten the training time and improve the generalization accuracy of a network under ...
Bao, C, Guan, SU, Neo, T
core +1 more source
A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud
IEEE Access, 2019 The moldable parallel task (MPT) is a kind of parallel task that their sub-tasks hold the resources exclusively, which has been widely used in different areas. Our paper focuses on the scheduling of moldable tasks when every sub-task supports time-slice.
Jianmin Li, Ying Zhong, Xin Zhang
doaj +1 more source
Timing Analysis for DAG-based and GFP Scheduled Tasks [PDF]
, 2014 Modern embedded systems have made the transition from single-core to multi-core architectures, providing performance improvement via parallelism rather than higher clock frequencies. DAGs are considered among the most generic task models in the real-time
Marinho, José, Petters, Stefan M.
core
Scheduling parallel tasks with individual deadlines
Theoretical Computer Science, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kyung-Yong Chwa, Oh-Heum Kwon
openaire +3 more sources
A Pipeline-Based ODE Solving Framework
IEEE AccessThe traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism.
Ruixia Cao, Shangjun Hou, Lin Ma
doaj +1 more source
Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation
Algorithms, 2019 Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality.
Jonas R. Dourado +2 more
doaj +1 more source
Memory and Parallelism Analysis Using a Platform-Independent Approach
, 2019 Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, detecting such applications is not a trivial task.
Awan, Ahsan Javed +5 more
core +1 more source
Run-Time Control to Increase Task Parallelism In Mixed-Critical Systems
Euromicro Conference on Real-Time Systems, 2014 Angeliki Kritikakou +4 more
openalex +3 more sources
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
Oil & Gas Science and Technology, 2018 Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in the emergence of a large number of
Amela Ramon +4 more
doaj +1 more source
Implementation and Evaluation of Dynamic Task Allocation for Human–Robot Collaboration in Assembly
Applied Sciences, 2022 Human–robot collaboration is becoming increasingly important in industrial assembly. In view of high cost pressure, resulting productivity requirements, and the trend towards human-centered automation in the context of Industry 5.0, a reasonable ...
Christoph Petzoldt +5 more
doaj +1 more source