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You are here: Home / News / Dongarra and Team Start New Supercomputing Journal

Dongarra and Team Start New Supercomputing Journal

July 30, 2014 by Rob Farber Leave a Comment

Jack Dongarra and his colleague Vladimir Voevodin have started a new peer-reviewed publication called “Journal Supercomputing Frontiers and Innovations” (JSFI). The Editorial Director is Leonid Sokolinsky at the South Ural State University in Chelyabinsk, Russia.

Click to see

Following is the foreword:

Parallel scientific computing has entered a new era. Multicore processors on desktop computers make parallel computing a fundamental skill required by all computer scientists. High-end systems have surpassed the Petaflop barrier, and significant efforts are devoted to the development of the next generation of hardware and software technologies towards Exascale systems. This is an exciting time for computing as we begin the journey on the road to exascale computing. ‘Going to the exascale’ will mean radical changes in computing architecture, software, and algorithms – basically, vastly increasing the levels of parallelism to the point of billions of threads working in tandem – which will force radical changes in how hardware is designed and how we go about solving problems. There are many computational and technical challenges ahead that must be overcome. The challenges are great, different than the current set of challenges, and exciting research problems await us.

This journal, Supercomputing Frontiers and Innovations, gives an introduction to the area of innovative supercomputing technologies, prospective architectures, scalable and highly parallel algorithms, languages, data analytics, issues related to computational co-design, and cross-cutting HPC issues as well as papers on supercomputing education and massively parallel computing applications in science and industry.

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. We hope you find this journal timely, interesting, and informative. We welcome your contributions, suggestions, and improvements to this new journal. Please join us in making this exciting new venture a success. We hope you will find Supercomputing Frontiers and Innovations an ideal venue for the publication of your team’s next exciting results.

Editors-in-Chief:

  • Jack Dongarra, University of Tennessee, Knoxville, USA
  • Vladimir Voevodin, Moscow State University, Russia

Editorial Director:

  • Leonid Sokolinsky, South Ural State University, Chelyabinsk, Russia

The first issue is out and contains the following articles:

Toward Exascale Resilience: 2014 update PDF
Franck Cappello, Al Geist, William Gropp, Sanjay Kale, Bill Kramer, Marc Snir
Runtime-Aware Architectures: A First Approach PDF
Mateo Valero, Miquel Moreto, Marc Casas, Eduard Ayguade, Jesus Labarta
Towards a performance portable, architecture agnostic implementation strategy for weather and climate models PDF
Oliver Fuhrer, Carlos Osuna, Xavier Lapillonne, Tobias Gysi, Ben Cumming, Mauro Bianco, Andrea Arteaga, Thomas Christoph Schulthess
Communication Complexity of the Fast Multipole Method and its Algebraic Variants PDF
Rio Yokota, George Turkiyyah, David Keyes
Model-Driven One-Sided Factorizations on Multicore Accelerated Systems PDF
Jack Dongarra, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Asim YarKhan
Exascale Storage Systems — An Analytical Study of Expenses PDF
Julian Martin Kunkel, Michael Kuhn, Thomas Ludwig

 

The Journal will cover the following topics and more:

  • Enabling technologies for high performance computing
  • Future generation supercomputer architectures
  • Extreme-scale concepts beyond conventional practices including exascale
  • Parallel programming models, interfaces, languages, libraries, and tools
  • Supercomputer applications and algorithms
  • Distributed operating systems, kernels, supervisors, and virtualization for highly scalable computing
  • Scalable runtime systems software
  • Methods and means of supercomputer system management, administration, and monitoring
  • Mass storage systems, protocols, and allocation
  • Energy and power minimization for very large deployed computers
  • Resilience, reliability, and fault tolerance for future generation highly parallel computing systems
  • Parallel performance and correctness debugging
  • Scientific visualization for massive data and computing both external and in situ
  • Education in high performance computing and computational science

 

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