Results 121 to 130 of about 3,076,045 (348)
The Impact of Parallel Processing on Operating Systems [PDF]
The base entity in computer programming is the process or task. The parallelism can be achieved by executing multiple processes on different processors.
Felician ALECU
core
MATLAB*G: A Grid-Based Parallel MATLAB [PDF]
, 2004 This paper describes the design and implementation of MATLAB*G, a parallel MATLAB on the ALiCE Grid. ALiCE (Adaptive and scaLable internet-based Computing Engine), developed at NUS, is a lightweight grid-computing middleware.
Chen, Ying, Tan, Suan Fong
core
BDLUT: Blind image denoising with hardware‐optimized look‐up tables
Journal of the Society for Information Display, EarlyView.BDLUT(‐D) is a novel blind denoising method combining optimized lookup tables (LUTs) with hardware‐centric design. While BDLUT describes the LUT‐based network architecture, BDLUT‐D represents BDLUT trained with a specialized noise degradation model. Designed for edge deployment, BDLUT(‐D) eliminates neural processing units (NPUs) and functions as a ...
Boyu Li +9 more
wiley +1 more source
Formalizing Real-Time Embedded System into Promela
MATEC Web of Conferences, 2015 We propose an alternative of formalization of the real-time embedded system into Promela model. The proposed formal model supports the essential features of the real-time embedded system, including system resource-constrained handling, task ...
Sukvanich Punwess +2 more
doaj +1 more source
Movement Disorders Clinical Practice, EarlyView.Abstract Background Evidence suggests that female gender represents a risk factor for the development of motor/nonmotor fluctuations and dyskinesia in Parkinson's disease (PD). So far, no prospective study has analyzed this aspect in relation to the introduction of levodopa treatment.
Maria Teresa Pellecchia +41 more
wiley +1 more source
Efficient Parallel Scheduling of Malleable Tasks
2011 IEEE International Parallel & Distributed Processing Symposium, 2011 We give an $O(n + \min\{n,m\} \log{m})$ work algorithm for scheduling $n$ tasks with flexible amount of parallelism on $m$ processors, provided the speedup functions of the tasks are concave. We give efficient parallelizations of the algorithm that run in polylogarithmic time. Previous algorithms were sequential and required quadratic work.
Sanders, Peter, Speck, Jochen
openaire +4 more sources
Polymer Composites, EarlyView.Illustration of the three methods of investigating temperature increases during the fatigue test of continuous glass fiber reinforced Elium thermoplastic composite materials. Abstract There is an increasing trend toward thermoplastic matrix composites in the automotive industry, and the most significant damage type is owing to fatigue. A set of fatigue
Mete Kayihan, Mustafa Bakkal
wiley +1 more source
A Survey on Task Scheduling Algorithms in Cloud Computing for Fast Big Data Processing
International Journal of Information and Communication Technology Research, 2021 The recent explosion of data of all kinds (persistent and short-lived) have imposed processing speed constraints on big data processing systems (BDPSs).
Zahra Jalalian, Mohsen Sharifi
doaj
Nested Parallelism: Allocation of Threads to Tasks and OpenMP Implementation [PDF]
, 2001 Ragnhild Blikberg, Tor Sørevik
openalex +1 more source
Automatic Detection of Performance Anomalies in Task-Parallel Programs
, 2014 To efficiently exploit the resources of new many-core architectures, integrating dozens or even hundreds of cores per chip, parallel programming models have evolved to expose massive amounts of parallelism, often in the form of fine-grained tasks.
Cohen, Albert +4 more
core +1 more source