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Quantum computers can solve specific problems that are not feasible on "classical" hardware. Harvesting the speed-up provided by quantum computers therefore has the potential to change any industry which uses computation, including finance.…

Scientific computing applications have benefited greatly from high performance computing infrastructure such as supercomputers. However, we are seeing a paradigm shift in the computational structure, design, and requirements of these…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-15 Prateek Sharma , Vikram Jadhao

Graphical simulations are a cornerstone of modern media and films. But existing software packages are designed to run on HPC nodes, and perform poorly in the computing cloud. These simulations have complex data access patterns over complex…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-08 Omid Mashayekhi , Chinmayee Shah , Hang Qu , Andrew Lim , Philip Levis

Scientific computing applications usually need huge amounts of computational power. The cloud provides interesting high-performance computing solutions, with its promise of virtually infinite resources on demand. However, migrating…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-26 Satish Narayana Srirama , Pelle Jakovits , Vladislav Ivaništšev

Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-12 William Voorsluys , James Broberg , Srikumar Venugopal , Rajkumar Buyya

As we know that Cloud Computing is a new paradigm in IT. It has many advantages and disadvantages. But in future it will spread in the whole world. Many researches are going on for securing the cloud services. Simulation is the act of…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-14 Ranjan Kumar , G. Sahoo

Cloud providers offer a variety of execution platforms in form of bare-metal, VM, and containers. However, due to the pros and cons of each execution platform, choosing the appropriate platform for a specific cloud-based application has…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Davood Ghatreh Samani , Chavit Denninnart , Josef Bacik , Mohsen Amini Salehi

Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-21 Zohar Kapach , Andrew Ulmer , Daniel Merrick , Arshad Alikhan , Yung-Hsiang Lu , Anup Mohan , Ahmed S. Kaseb , George K. Thiruvathukal

We investigate the feasibility of high performance scientific computation using cloud computers as an alternative to traditional computational tools. The availability of these large, virtualized pools of compute resources raises the…

Materials Science · Physics 2009-01-05 J. J. Rehr , J. P. Gardner , M. Prange , L. Svec , F. Vila

There is widespread agreement that cloud computing have proven cost cutting and agility benefits. However, security and regulatory compliance issues are continuing to challenge the wide acceptance of such technology both from social and…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-11-14 Hanene Boussi Rahmouni , Kamran Munir , Mohammed Odeh , Richard McClatchey

In this paper, a re-evaluation undertaken for dynamic VM consolidation problem and optimal online deterministic algorithms for the single VM migration in an experimental environment. We proceeded to focus on energy and performance trade-off…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-18 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Cloud simulation environments today are largely employed to model and simulate complex systems for remote accessibility and variable capacity requirements. In this regard, scalability issues in Modeling and Simulation (M\&S) computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-23 José L. Risco-Martín , Kevin Henares , Saurabh Mittal , Luis F. Almendras , Katzalin Olcoz

A technique used to accelerate an adaptive optics simulation platform using reconfigurable logic is described. The performance of parts of this simulation have been improved by up to 600 times (reducing computation times by this factor) by…

Astrophysics · Physics 2009-11-11 Alastair Basden

Big data is gaining overwhelming attention since the last decade. Almost all the fields of science and technology have experienced a considerable impact from it. The cloud computing paradigm has been targeted for big data processing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-27 Hrishav Bakul Barua , Kartick Chandra Mondal

Substantial difficulties in adopting cloud services are often encountered during upgrades of existing software systems. A reliable early stage analysis can facilitate an informed decision process of moving systems to cloud platforms. It can…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-24 Mahdi Fahmideh , Ghassan Beydoun , Graham Low

Cloud computing recently developed into a viable alternative to on-premises systems for executing high-performance computing (HPC) applications. With the emergence of new vendors and hardware options, there is now a growing need to…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-14 Mohammad Mohammadi , Timur Bazhirov

Cloud Computing researches involve a tremendous amount of entities such as users, applications, and virtual machines. Due to the limited access and often variable availability of such resources, researchers have their prototypes tested…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-18 Pradeeban Kathiravelu

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

Hardware accelerators are available on the Cloud for enhanced analytics. Next generation Clouds aim to bring enhanced analytics using accelerators closer to user devices at the edge of the network for improving Quality-of-Service by…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-16 Blesson Varghese , Carlos Reano , Federico Silla

Nowadays simulations can produce petabytes of data to be stored in parallel filesystems or large-scale databases. This data is accessed over the course of decades often by thousands of analysts and scientists. However, storing these volumes…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-11 Salvatore Di Girolamo , Pirmin Schmid , Thomas Schulthess , Torsten Hoefler