Description

Book Synopsis

Developed in the context of science and engineering applications, with each abstraction motivated by and further honed by specific application needs, Charm++ is a production-quality system that runs on almost all parallel computers available. Parallel Science and Engineering Applications: The Charm++ Approach surveys a diverse and scalable collection of science and engineering applications, most of which are used regularly on supercomputers by scientists to further their research.



After a brief introduction to Charm++, the book presents several parallel CSE codes written in the Charm++ model, along with their underlying scientific and numerical formulations, explaining their parallelization strategies and parallel performance. These chapters demonstrate the versatility of Charm++ and its utility for a wide variety of applications, including molecular dynamics, cosmology, quantum chemistry, fracture simulations, agent-based simulations, and weather modeling.

Trade Review
"It succeeds perfectly and combines for the first time both Charm++ and significant application development in a single volume. It will provide a solid foundation for anyone who is considering using the most recent tools for developing applications for future ExascaIe platforms. I highly recommend this timely book for scientists and engineers." -Horst Simon, Lawrence Berkeley National Laboratory and University of California, Berkeley

Table of Contents

The Charm++ Programming Model. Designing Charm++ Programs. Tools for Debugging and Performance Analysis. Scalable Molecular Dynamics with NAMD. OpenAtom: Ab initio Molecular Dynamics for Petascale Platforms. N-body Simulations with ChaNGa. Remote Visualization of Cosmological Data using Salsa. Improving Scalability of BRAMS: a Regional Weather Forecast Model. Crack Propagation Analysis with Automatic Load Balancing. Contagion Diffusion with EpiSimdemics.

Parallel Science and Engineering Applications

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    £166.25

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    RRP £175.00 – you save £8.75 (5%)

    Order before 4pm today for delivery by Wed 1 Jul 2026.

    A Hardback by Laxmikant V. Kale, Abhinav Bhatele

    1 in stock

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      Publisher: Taylor & Francis Inc
      Publication Date: 28/10/2013
      ISBN13: 9781466504127, 978-1466504127
      ISBN10: 1466504129

      Description

      Book Synopsis

      Developed in the context of science and engineering applications, with each abstraction motivated by and further honed by specific application needs, Charm++ is a production-quality system that runs on almost all parallel computers available. Parallel Science and Engineering Applications: The Charm++ Approach surveys a diverse and scalable collection of science and engineering applications, most of which are used regularly on supercomputers by scientists to further their research.



      After a brief introduction to Charm++, the book presents several parallel CSE codes written in the Charm++ model, along with their underlying scientific and numerical formulations, explaining their parallelization strategies and parallel performance. These chapters demonstrate the versatility of Charm++ and its utility for a wide variety of applications, including molecular dynamics, cosmology, quantum chemistry, fracture simulations, agent-based simulations, and weather modeling.

      Trade Review
      "It succeeds perfectly and combines for the first time both Charm++ and significant application development in a single volume. It will provide a solid foundation for anyone who is considering using the most recent tools for developing applications for future ExascaIe platforms. I highly recommend this timely book for scientists and engineers." -Horst Simon, Lawrence Berkeley National Laboratory and University of California, Berkeley

      Table of Contents

      The Charm++ Programming Model. Designing Charm++ Programs. Tools for Debugging and Performance Analysis. Scalable Molecular Dynamics with NAMD. OpenAtom: Ab initio Molecular Dynamics for Petascale Platforms. N-body Simulations with ChaNGa. Remote Visualization of Cosmological Data using Salsa. Improving Scalability of BRAMS: a Regional Weather Forecast Model. Crack Propagation Analysis with Automatic Load Balancing. Contagion Diffusion with EpiSimdemics.

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