Results 41 to 50 of about 46,626 (281)

An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things

open access: yesIET Communications, EarlyView., 2022
Abstract The goal of this work is to investigate how the self‐awareness characteristic of autonomic computing, paired with existing performance optimization rules, may be used in applications to minimise multi‐core processor performance concerns. The suggested self‐awareness technique can assist applications in self‐execution while also assisting other
Surendra Kumar Shukla   +8 more
wiley   +1 more source

POWER: Parallel Optimizations With Executable Rewriting [PDF]

open access: yes, 2011
The hardware industry's rapid development of multicore and many core hardware has outpaced the software industry's transition from sequential to parallel programs. Most applications are still sequential, and many cores on parallel machines remain unused.
Arora, Nipun   +4 more
core   +2 more sources

Instruction Fetch Policy for SMT Processors with Different Allocations of Floating-point and Integer Resources [PDF]

open access: yesJisuanji gongcheng, 2017
In Simultaneous Multithreading(SMT) processors,different threads have different demands for floating-point and integer resources.How to allocate shared resources among threads is the key point to improve the whole performance for SMT processors.Aiming at
JIANG Shengjian,HU Xiangdong,YANG Jianxin
doaj   +1 more source

Late allocation and early release of physical registers [PDF]

open access: yes, 2004
The register file is one of the critical components of current processors in terms of access time and power consumption. Among other things, the potential to exploit instruction-level parallelism is closely related to the size and number of ports of the ...
González Colás, Antonio María   +4 more
core   +2 more sources

Hardware schemes for early register release [PDF]

open access: yes, 2002
Register files are becoming one of the critical components of current out-of-order processors in terms of delay and power consumption, since their potential to exploit instruction-level parallelism is quite related to the size and number of ports of the ...
González Colás, Antonio María   +3 more
core   +1 more source

Solving Large Nonlinear Systems of First-Order Ordinary Differential Equations With Hierarchical Structure Using Multi-GPGPUs and an Adaptive Runge Kutta ODE Solver

open access: yesIEEE Access, 2013
The adaptive Runge-Kutta (ARK) method on multi-general-purpose graphical processing units (GPUs) is used for solving large nonlinear systems of first-order ordinary differential equations (ODEs) with over ~ 10 000 variables describing a large genetic ...
Ahmad Al-Omari   +3 more
doaj   +1 more source

Late-Stage Optimization of Modern ILP Processor Cores via FPGA Simulation

open access: yesApplied Sciences, 2022
Late-stage (post-RTL implementation) optimization is important in achieving target performance for realistic processor design. However, several challenges remain for modern out-of-order ILP (instruction-level-parallelism) processors, such as simulation ...
Mengqiao Lan   +6 more
doaj   +1 more source

Understanding the thermal implications of multicore architectures [PDF]

open access: yes, 2007
Multicore architectures are becoming the main design paradigm for current and future processors. The main reason is that multicore designs provide an effective way of overcoming instruction-level parallelism (ILP) limitations by exploiting thread-level ...
Cai, Qiong   +4 more
core   +2 more sources

Strategy of microscopic parallelism for Bitplane Image Coding [PDF]

open access: yes, 2015
Recent years have seen the upraising of a new type of processors strongly relying on the Single Instruction, Multiple Data (SIMD) architectural principle.
Aulí-Llinàs, Francesc   +4 more
core   +1 more source

RGCA: A Reliable GPU Cluster Architecture for Large-Scale Internet of Things Computing Based on Effective Performance-Energy Optimization

open access: yesSensors, 2017
This paper aims to develop a low-cost, high-performance and high-reliability computing system to process large-scale data using common data mining algorithms in the Internet of Things (IoT) computing environment.
Yuling Fang   +4 more
doaj   +1 more source

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