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60 results for “High Performance Computing”
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Review ArticleOpen accessPhrase in the titleConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHigh Performance Computing on Fast Lock Delay Locked Loop with Low Power State and Simultanoeus Switching Noise ReductionT. S. Karthik, V. Jawahar Senthil KumarProblem statement: In any multimedia processor, controller may consume most of the on-chip memory resources. The memory requirement is directly depends on algorithm shared by different blocks, so leads to failure in the system models. Approach: This study presents the implementation of DLL unit used for memory optimization. Various aspects of the underlying coarse lock detector are explored and modifications … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 7,172 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFramework for Containers Orchestration to handle the Scientific Workloads using KubernetesManish Kumar Abhishek, D. Rajeswara Rao, K. SubrahmanyamThelightweight nature of Operating System virtualization give birth to thecontainers, and their high efficiency for application deployment prefers itsusage in Cloud computing. Containers encapsulate and bundle the requireddependencies for application development and deployment in libs packages as asingle entity. The nature of containers eases application migration within theHigh-Performance Computing environment to handle the scientific workloadssmoothly. Singularity containers are aimed to … …Journal of Computer Science, Vol. 18, Issue 9 · 19 Sep 2022 · 9,351 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA REVIEW ON SECURED CLOUD COMPUTING ENVIRONMENTM. Hemanth Chakravarthy, E. KannanNowadays, the scientific problem becomes very complex; therefore, it requires more computing power and storage space. These requirements are very common in an organization while dealing with current technological data and requirements. Based on these basic requirements, need of higher computational resources is an important issue when dealing with current technological methodology. Hence, cloud computing has become the most important … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 6 May 2014 · 6,578 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Algorithm for Optimal Load Sharing in Grid ComputingD. Ramesh, A. KrishnanProblem statement: Grid Computing is the fast growing industry, which shares the resources in the organization in an effective manner. Resource sharing requires more optimized algorithmic structure, otherwise the waiting time and response time are increased and the resource utilization is reduced. Approach: In order to avoid such reduction in the performances of the grid system, an optimal resource sharing … …Journal of Computer Science, Vol. 8, Issue 1 · 5 Nov 2011 · 7,521 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in ClusterP. Sammulal, M. V. Gopalachari, A. V. BabuHigh performance clusters are being configured specially to give data centers that require extreme performance and the processing power they need. When the data is accessed across clusters the data latency time has significant impact on the performance. In the literature it is given that memory and I/O have become the new bottleneck, instead of processing power in achieving efficient … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,904 accessesView PDFCite
Research ArticleOpen accessIn the abstractActive Reset and Scheduling in Fault-Tolerant Quantum-Classical Cloud ComputingMohamed El-DosukyQuantum-classical cloud computing refers to a hybrid computing model that integrates quantum computing with classical computing resources, typically hosted on the cloud. The objective of this paper is threefold: First, to scrutinize the computing paradigm of quantum-classical cloud computing; second, to study the three pillars of the underpinning techniques: Active reset, scheduling, and fault tolerance; third, to demonstrate the realization … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Sep 2026 · 767 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,497 accessesView PDFCite