The ISC research paper sessions provide world-class opportunities for engineers and scientists in academia, industry, and government to present and discuss issues, trends, and results that will shape the future of high performance computing (HPC), Networking, Storage and AI/Machine Learning.

Submitted research papers will be reviewed by the ISC 2019 Research Papers Committee, which is headed by Dr.-Ing. Carsten Trinitis, TU Munich, as Chair and Saday Sadayappan, Ohio State University, as Deputy Chair as well as Dr. Michèle Weiland, EPCC as Proceedings Chair and Guido Juckeland, Helmholtz-Zentrum Dresden-Rossendorf, as Proceedings Deputy Chair.

The research paper sessions will be held from Monday, June 17, through Wednesday, June 19, 2019. Attendance will require a Conference Pass.

The ISC organizers as well as the German Gauss Center for Supercomputing will again sponsor the call for research papers with two awards for outstanding research papers: the Hans Meuer Award and the GAUSS Award.

IMPORTANT DATES
* Full Submission Deadline: Monday, January 7, 2019, 11:59pm AoE (no extension)
* Notification of Acceptance: Wednesday, February 27, 2019
* Research Paper Sessions at ISC 2019: Monday, June 17 – Wednesday, June 19, 2019

AREAS OF INTEREST

The Research Papers Committee encourages the submission of high-quality papers reporting original work in theoretical, experimental, and industrial research and development. The ISC submission process will be divided into eight tracks this year.

1. Architectures, Networks & Infrastructure:
• Future design concepts of HPC systems
• Multi-core & many-core systems
• Heterogeneous systems
• Other paradigms (including data flow computing, FPGAs, etc.)
• Network technology
• Domain-specific architectures
• Memory technologies
• Trends in the HPC chip market
• Exascale computing

2. HPC Applications
• Highly scalable applications
• Convergence of simulations & big data
• Scalability on future architectures
• Workflow management
• Coupled simulations
• Industrial simulations
• Implementations on GPUs & other accelerators

3. HPC Algorithms
• Innovative algorithms, discrete or continuous
• Algorithm based fault tolerance
• Communication & synchronization-reducing algorithms
• Time & space trade-offs in algorithms
• Energy-efficient algorithms

4. Programming Models & Systems Software
• Parallel programming paradigms
• Tools and libraries for performance and productivity
• Job management
• Monitoring & administration tools
• Productivity improvement
• Power and energy management & scheduling
• Resilience

5. Artificial Intelligence & Machine Learning
• Neural networks & HPC
• Machine learning & HPC
• AI & machine learning-oriented hardware
• Devising benchmarks for machine learning
• Use cases

6. Performance Modeling & Measurement
• Performance models
• Performance prediction and engineering
• Performance measurement
• Power consumption
• Energy measurement & modelling

7. Data, Storage & Visualization
• From big data to smart data
• Memory systems for HPC & big data
• File systems & tape libraries
• Data-intensive applications
• Databases
• Visual analytics
• In-situ analytics

8. Emerging Technologies
• Quantum Computing Architecture
• Software for Quantum Computing
• Quantum Algorithms
• Quantum Annealing