The Experts below are selected from a list of 22482 Experts worldwide ranked by ideXlab platform
Mark S Gordon - One of the best experts on this subject based on the ideXlab platform.
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quantum chemical calculations using accelerators migrating matrix operations to the nvidia kepler gpu and the intel xeon phi
Journal of Chemical Theory and Computation, 2014Co-Authors: Sarom S Leang, Alistair P Rendell, Mark S GordonAbstract:Increasingly, modern computer systems comprise a multicore general-purpose processor augmented with a number of special purpose devices or accelerators connected via an external interface such as a PCI bus. The NVIDIA Kepler Graphical Processing Unit (GPU) and the Intel Phi are two examples of such accelerators. Accelerators offer peak performances that can be well above those of the host processor. How to exploit this heterogeneous environment for Legacy Application codes is not, however, straightforward. This paper considers how matrix operations in typical quantum chemical calculations can be migrated to the GPU and Phi systems. Double precision general matrix multiply operations are endemic in electronic structure calculations, especially methods that include electron correlation, such as density functional theory, second order perturbation theory, and coupled cluster theory. The use of approaches that automatically determine whether to use the host or an accelerator, based on problem size, is explore...
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quantum chemical calculations using accelerators migrating matrix operations to the nvidia kepler gpu and the intel xeon phi
Journal of Chemical Theory and Computation, 2014Co-Authors: Sarom S Leang, Alistair P Rendell, Mark S GordonAbstract:Increasingly, modern computer systems comprise a multicore general-purpose processor augmented with a number of special purpose devices or accelerators connected via an external interface such as a PCI bus. The NVIDIA Kepler Graphical Processing Unit (GPU) and the Intel Phi are two examples of such accelerators. Accelerators offer peak performances that can be well above those of the host processor. How to exploit this heterogeneous environment for Legacy Application codes is not, however, straightforward. This paper considers how matrix operations in typical quantum chemical calculations can be migrated to the GPU and Phi systems. Double precision general matrix multiply operations are endemic in electronic structure calculations, especially methods that include electron correlation, such as density functional theory, second order perturbation theory, and coupled cluster theory. The use of approaches that automatically determine whether to use the host or an accelerator, based on problem size, is explored, with computations that are occurring on the accelerator and/or the host. For data-transfers over PCI-e, the GPU provides the best overall performance for data sizes up to 4096 MB with consistent upload and download rates between 5-5.6 GB/s and 5.4-6.3 GB/s, respectively. The GPU outperforms the Phi for both square and nonsquare matrix multiplications.
Sarom S Leang - One of the best experts on this subject based on the ideXlab platform.
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quantum chemical calculations using accelerators migrating matrix operations to the nvidia kepler gpu and the intel xeon phi
Journal of Chemical Theory and Computation, 2014Co-Authors: Sarom S Leang, Alistair P Rendell, Mark S GordonAbstract:Increasingly, modern computer systems comprise a multicore general-purpose processor augmented with a number of special purpose devices or accelerators connected via an external interface such as a PCI bus. The NVIDIA Kepler Graphical Processing Unit (GPU) and the Intel Phi are two examples of such accelerators. Accelerators offer peak performances that can be well above those of the host processor. How to exploit this heterogeneous environment for Legacy Application codes is not, however, straightforward. This paper considers how matrix operations in typical quantum chemical calculations can be migrated to the GPU and Phi systems. Double precision general matrix multiply operations are endemic in electronic structure calculations, especially methods that include electron correlation, such as density functional theory, second order perturbation theory, and coupled cluster theory. The use of approaches that automatically determine whether to use the host or an accelerator, based on problem size, is explore...
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quantum chemical calculations using accelerators migrating matrix operations to the nvidia kepler gpu and the intel xeon phi
Journal of Chemical Theory and Computation, 2014Co-Authors: Sarom S Leang, Alistair P Rendell, Mark S GordonAbstract:Increasingly, modern computer systems comprise a multicore general-purpose processor augmented with a number of special purpose devices or accelerators connected via an external interface such as a PCI bus. The NVIDIA Kepler Graphical Processing Unit (GPU) and the Intel Phi are two examples of such accelerators. Accelerators offer peak performances that can be well above those of the host processor. How to exploit this heterogeneous environment for Legacy Application codes is not, however, straightforward. This paper considers how matrix operations in typical quantum chemical calculations can be migrated to the GPU and Phi systems. Double precision general matrix multiply operations are endemic in electronic structure calculations, especially methods that include electron correlation, such as density functional theory, second order perturbation theory, and coupled cluster theory. The use of approaches that automatically determine whether to use the host or an accelerator, based on problem size, is explored, with computations that are occurring on the accelerator and/or the host. For data-transfers over PCI-e, the GPU provides the best overall performance for data sizes up to 4096 MB with consistent upload and download rates between 5-5.6 GB/s and 5.4-6.3 GB/s, respectively. The GPU outperforms the Phi for both square and nonsquare matrix multiplications.
V.v.s. Raveendra - One of the best experts on this subject based on the ideXlab platform.
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Reengineering Legacy Application to E-Business with Modified Rational Unified Process 1
2011Co-Authors: G Jeyaraman, K. Krishnamurthy, V.v.s. RaveendraAbstract:Experience in reengineering a Legacy Application into a web based J2EE system with modified Rational Unified Process (RUP) is presented. RUP is adopted into an onsite-offshore development model along with ISO 9001 and SEI CMM Level 5 standards. The new Application has above 2500 code components and the effort is about 100 person years. For the benefit of software development community, some of our experiences in design, development, testing and project management are elaborated as generalized concepts. We have demonstrated that development process could be improved with lessons learnt from the initial iterations. The three views of a web Application are explained and the translations between the layers are discussed. Benefit of continuous integration is highlighted. Various types of dependencies to be taken into account for sequencing the development are elaborated. The levels of testing in iterative development are mentioned. The importance of adaptive team structure and various parameters guiding iteration planning are dealt with. A simple estimation model based on types of transactions is presented. Finally, a fine grained risk management concept that can integrate with the development process is proposed. 1
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reengineering Legacy Application to e business with modified rational unified process
European Software Engineering Conference, 2003Co-Authors: G Jeyaraman, K. Krishnamurthy, V.v.s. RaveendraAbstract:Experience in reengineering a Legacy Application into a web based J2EE system with modified Rational Unified Process (RUP) is presented RUP is adopted into an onsite-offshore development model along with ISO 9001 and SEI CMM Level 5 standards. The new Application has above 2500 code components and the effort is about 100 person years. For the benefit of software development community, some of our experiences in design, development, testing and project management are elaborated as generalized concepts. We have demonstrated that development process could be improved with lessons learnt from the initial iterations. The three views of a Web Application are explained and the translations between the layers are discussed. Benefit of continuous integration is highlighted. Various types of dependencies to be taken into account for sequencing the development are elaborated. The levels of testing in iterative development are mentioned. The importance of adaptive team structure and various parameters guiding iteration planning are dealt with. A simple estimation model based on types of transactions is presented. Finally, a fine grained risk management concept that can integrate with the development process is proposed.
Alistair P Rendell - One of the best experts on this subject based on the ideXlab platform.
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quantum chemical calculations using accelerators migrating matrix operations to the nvidia kepler gpu and the intel xeon phi
Journal of Chemical Theory and Computation, 2014Co-Authors: Sarom S Leang, Alistair P Rendell, Mark S GordonAbstract:Increasingly, modern computer systems comprise a multicore general-purpose processor augmented with a number of special purpose devices or accelerators connected via an external interface such as a PCI bus. The NVIDIA Kepler Graphical Processing Unit (GPU) and the Intel Phi are two examples of such accelerators. Accelerators offer peak performances that can be well above those of the host processor. How to exploit this heterogeneous environment for Legacy Application codes is not, however, straightforward. This paper considers how matrix operations in typical quantum chemical calculations can be migrated to the GPU and Phi systems. Double precision general matrix multiply operations are endemic in electronic structure calculations, especially methods that include electron correlation, such as density functional theory, second order perturbation theory, and coupled cluster theory. The use of approaches that automatically determine whether to use the host or an accelerator, based on problem size, is explore...
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quantum chemical calculations using accelerators migrating matrix operations to the nvidia kepler gpu and the intel xeon phi
Journal of Chemical Theory and Computation, 2014Co-Authors: Sarom S Leang, Alistair P Rendell, Mark S GordonAbstract:Increasingly, modern computer systems comprise a multicore general-purpose processor augmented with a number of special purpose devices or accelerators connected via an external interface such as a PCI bus. The NVIDIA Kepler Graphical Processing Unit (GPU) and the Intel Phi are two examples of such accelerators. Accelerators offer peak performances that can be well above those of the host processor. How to exploit this heterogeneous environment for Legacy Application codes is not, however, straightforward. This paper considers how matrix operations in typical quantum chemical calculations can be migrated to the GPU and Phi systems. Double precision general matrix multiply operations are endemic in electronic structure calculations, especially methods that include electron correlation, such as density functional theory, second order perturbation theory, and coupled cluster theory. The use of approaches that automatically determine whether to use the host or an accelerator, based on problem size, is explored, with computations that are occurring on the accelerator and/or the host. For data-transfers over PCI-e, the GPU provides the best overall performance for data sizes up to 4096 MB with consistent upload and download rates between 5-5.6 GB/s and 5.4-6.3 GB/s, respectively. The GPU outperforms the Phi for both square and nonsquare matrix multiplications.
Ghassan Beydoun - One of the best experts on this subject based on the ideXlab platform.
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cloud migration process a survey evaluation framework and open challenges
Journal of Systems and Software, 2016Co-Authors: Mahdi Fahmideh Gholami, Farhad Daneshgar, Ghassan BeydounAbstract:The relevant approaches for migrating Legacy Applications to the cloud are surveyed.An extensive analysis of existing approaches on the basis of a set of important criteria/features.Important cloud migration activities, techniques, and concerns that need to be properly addressed in a typical cloud migration process are delineated.Existing open issues and future research opportunities on the cloud migration research area are discussed. Moving mission-oriented enterprise software Applications to cloud environments is a crucial IT task and requires a systematic approach. The foci of this paper is to provide a detailed review of extant cloud migration approaches from the perspective of the process model. To this aim, an evaluation framework is proposed and used to appraise and compare existing approaches for highlighting their features, similarities, and key differences. The survey distills the status quo and makes a rich inventory of important activities, recommendations, techniques, and concerns that are common in a typical cloud migration process in one place. This enables both academia and practitioners in the cloud computing community to get an overarching view of the process of the Legacy Application migration to the cloud. Furthermore, the survey identifies a number challenges that have not been yet addressed by existing approaches, developing opportunities for further research endeavours.