Results 11 to 20 of about 5,251,663 (307)

A Systemic and Secure SDN Framework for NoC-Based Many-Cores

open access: yesIEEE Access, 2020
Recent exploration of Software-Defined Networking (SDN) for Many-Core Systems-on-Chip (MCSoCs) showed higher management flexibility and reduced physical complexity compared to other runtime communication management.
Marcelo Ruaro   +2 more
doaj   +1 more source

A Simulated Annealing-based Throughput-aware Task Mapping Algorithm for Manycore Processors [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2022
With the advent of having many processor cores on a single chip in many-core processors, the demand for exploiting these on-chip resources to boost the performance of applications has been increased. Task mapping is the problem of mapping the application
A.R. Tajary, H. Morshedlou
doaj   +1 more source

40‐TFLOPS artificial intelligence processor with function‐safe programmable many‐cores for ISO26262 ASIL‐D

open access: yesETRI Journal, 2020
The proposed AI processor architecture has high throughput for accelerating the neural network and reduces the external memory bandwidth required for processing the neural network.
Jinho Han, Minseok Choi, Youngsu Kwon
doaj   +1 more source

On the Cooperative Relaying Strategies for Multi-Core Wireless Network-on-Chip

open access: yesIEEE Access, 2021
Recently, hybrid wired-wireless Network-on-Chip (WiNoC) has been proposed as a suitable communication fabric to provide scalability and satisfy high performance demands of the exascale era of modern multi/many-core System-on-Chip (SoC) design.
Quoc-Tuan Vien   +3 more
doaj   +1 more source

A Many-Core Parallelizing Processor [PDF]

open access: yes2017 International Conference on High Performance Computing & Simulation (HPCS), 2017
This paper presents a new many-core processor design to parallelize by hardware. The code pieces are distributed according to the sequential order in a way which favors neighbor cores communications. The ordered placement simplifies the processor interconnect and the memory sharing.
openaire   +1 more source

Scalable Many-Core Algorithms for Tridiagonal Solvers [PDF]

open access: yesComputing in Science & Engineering, 2022
We present a novel distributed memory Tridiagonal solver library, targeting large-scale systems based on modern multi-core and many-core processor architectures. The library uses methods based on both approximate and exact algorithms. Performance comparisons with the state-of-the-art, using both a large Cray EX system and a GPU cluster show the ...
Gábor Dániel Balogh   +4 more
openaire   +2 more sources

Performance Comparisons on Parallel Optimization of Atmospheric and Ocean Numerical Circulation Models Using KISTI Supercomputer Nurion System

open access: yesApplied Sciences, 2020
The characteristics of the 5th Supercomputer Nurion Knights Landing (KNL) system of the Korea Institute of Science and Technology Information (KISTI) were analyzed by developing ultra-high resolution atmospheric and ocean numerical circulation models ...
Chaewook Lim   +5 more
doaj   +1 more source

Many-core algorithms for statistical phylogenetics [PDF]

open access: yesBioinformatics, 2009
Abstract Motivation: Statistical phylogenetics is computationally intensive, resulting in considerable attention meted on techniques for parallelization. Codon-based models allow for independent rates of synonymous and replacement substitutions and have the potential to more adequately model the process of protein-coding sequence ...
Marc A. Suchard, Andrew Rambaut
openaire   +2 more sources

Low-noise permalloy ring cores for fluxgate magnetometers [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems, 2019
Fluxgate magnetometers are important tools for geophysics and space physics, providing high-precision magnetic field measurements. Fluxgate magnetometer noise performance is typically limited by a ferromagnetic element that is periodically forced into ...
D. M. Miles   +10 more
doaj   +1 more source

Many-core key-value store [PDF]

open access: yes2011 International Green Computing Conference and Workshops, 2011
Scaling data centers to handle task-parallel work-loads requires balancing the cost of hardware, operations, and power. Low-power, low-core-count servers reduce costs in one of these dimensions, but may require additional nodes to provide the required quality of service or increase costs by under-utilizing memory and other resources.
Mateusz Berezecki   +3 more
openaire   +1 more source

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