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Accelerating prediction of RNA secondary structure using parallelization on multicore architecture
Due to Covid pandemic, the investigation of bioinformatics, and more specifically the investigation of RNA, has become a major focus of the research....
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A Generic Multicore CPU Parallel Implementation for Fractional Order Digital Image Moments
The image moments are considered a key technique for image feature extraction. It is utilized in several applications such as watermarking and...
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GraphOpt: Constrained-Optimization- Based Parallelization of Irregular Workloads for Multicore Processors
Probabilistic AI and sparse linear algebra exhibit ample parallelism. Yet, map** and scheduling these workloads on parallel hardware like multicore...
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An Extensive Survey on Assessment of Multicore Processors for Embedded Systems
To boost the performance and reduce power consumption, embedded systems have lately benefited from multicore technology. The parallel benchmark using...
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Performance Analysis of Genetic Algorithm for Function Optimization in Multicore Platform Using DEAP
Meta-heuristic algorithms are applied to find good or near-optimal solutions at a reasonable computational cost and time by exploring the search...
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Multicore Performance Prediction with MPET
Multicore processors serve as target platforms in a broad variety of applications ranging from high-performance computing to embedded mobile...
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A Self-adaptive HPL-Based Benchmark with Dynamic Task Parallelism for Multicore Systems
Benchmarks play a crucial role in enhancing systems, applications, and technologies across multiple domains. In scientific computing, traditional...
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Reinforcement learning-based spatial sorting based dynamic task allocation on networked multicore GPU processors
Owing to the advancements in cloud computing our lives are significantly altering the means of utilizing data by the data-intensive business and...
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Information-flow control on ARM and POWER multicore processors
Weak memory models implemented on modern multicore processors are known to affect the correctness of concurrent code. They can also affect whether or...
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Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCU
Convolutional neural networks (CNNs) are progressively deployed on embedded systems, which is challenging because their computational and energy...
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Dataflow Models of Computation for Programming Heterogeneous Multicores
The hardware complexity of modern integrated circuits keeps increasing at a steady pace. Heterogeneous Multi-Processor Systems-on-Chips (MPSoCs)...
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A Multi-core Based Real-time Scheduler Supporting Periodic and Sporadic Threads and Processes
This paper proposes, implements, and verifies a multicore real-time scheduler (MCRT scheduler) for periodic and sporadic threads and processes, and...
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Preliminary Performance and Programmability Comparison of the Thick Control Flow Architecture and Current Multicore CPUs
Multicore CPUs integrate a number of processor cores on a single chip to support parallel execution of computational tasks. These CPUs improve the...
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Drawbacks of Programming Dataflow Architectures and Methods to Overcome Them
Compared to the control-flow paradigm dataflow paradigm is proven to be superior for certain classes of high-performance computing algorithms, such...
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RETRACTED ARTICLE: Research on the construction and simulation of PO-Dijkstra algorithm model in parallel network of multicore platform
The development of multicore hardware has provided many new development opportunities for many application software algorithms. Especially, the...
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Parallel Programming Models
Parallel systems have evolved to become highly hierarchical and heterogeneous, requiring tools to program at the level of clusters, nodes, vectors,...
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OpenVVC Decoder Parameterized and Interfaced Synchronous Dataflow (PiSDF) Model: Tile Based Parallelism
The emergence of the new video coding standard, Versatile Video Coding (VVC), has resulted in a 40-50% coding gain over its predecessor HEVC for the...
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Big Data Direct Search Algorithm Based on Linear Programming
In some optimization problems, the expression of the objective function is more complex or difficult to express with an obvious analytical formula,...
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RNA Secondary Structure Prediction Parallel Algorithm on Shared Memory Multicore Architecture
In the era of new technological environment, multi-core architecture found to be advantageous which provides concurrent processing. Many application...
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Multicore Embedded Worst-Case Task Design Issues and Analysis Using Machine Learning Logic
In critical embedded systems especially hard real time systems, worst-case execution time analysis is considered rather than expensive testing tools....