Welcome to HPC 2017!
The International Symposium on High Performance Computing (HPC 2017) is pleased to invite you to respond to our Call for Submissions for SmartTechCon2017, to be held from 17 - 19 August 2017 at the REVA University, Bangalore, India.
Advances in multicore and many-core architectures, networking, high-end computers, large data stores, and middleware capabilities are ushering in a new era of high-performance parallel and distributed simulations. Along with these new capabilities come new challenges in computing and system modeling. The goal of HPC 2017 is to encourage innovation in high- performance computing and communication technologies and to promote synergistic advances in modeling methodologies and simulation. It will promote the exchange of ideas and information between universities, industry, supercomputing centers, and national laboratories about new developments in system modeling, high-performance computing and communication, scientific computing as well as simulation.
Dr. Shirshu Varma, IIIT Allahabad, India(Chair(s))
Dr. Gopal K. Shyam, REVA University, Bangalore, India(Chair(s)) Hartwig Anzt, University of Tennessee, USA Sunilkumar S. Manvi, REVA University, India Alex Aravind, University of Northern British Columbia, Canada Eric Aubanel, University of New Brunswick, Canada Brett Bode, National Center for Supercomputing Applications, USA Bruno Carpentieri, Nottingham Trent University, School of Science and Technology, UK Laura Carrington, San Diego Supercomputer Center, USA Jim Jones, Florida Institute of Technology, USA Michael Klemm, Intel, USA Matthew Knepley, Rice University, USA Tan Li, VMware Inc., USA Piotr Luszczek, University of Tennessee, USA Azamat Mametjanov, Argonne National Laboratory, USA Michael Mascagni, Florida State University, USA Apala Guha, Indraprastha Institute of Information Technology, India Dr. M. N. Birje, Visvesvaraya Technological University, India Dr. Basavaraj Talwar, National Institute of Technology, Surathkal
Topics of interest include but are not limited to:
- High-performance computing issues in Big Data analytics
- High performance/large scale application case studies
- GPU for general purpose computations (GPGPU)
- Accelerator and co-processor computing
- Multicore and many-core computing
- Exascale challenges
- Cloud, distributed, and grid computing
- Hybrid parallel or distributed algorithms
- Large-scale visualization and data management
- Parallel algorithms and architectures
- High-performance software tools and techniques
- Resilience at the simulation level
- Component technologies for high-performance computing
Submit your paper in IEEE format. Submitted work should be original and application oriented. Acceptance will be based on reviewer's comments that will address the strong and weak aspects with suggestions to improve the work.