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ISC HPC 2020 : ISC High Performance 2020

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Link: https://www.isc-hpc.com/research-papers-2020.html
 
When Jun 21, 2020 - Jun 25, 2020
Where Frankfurt, Germany
Submission Deadline Oct 21, 2019
Notification Due Feb 5, 2020
Final Version Due May 10, 2020
Categories    high performance computing   storage   data analytics   ai / machine learning
 

Call For Papers

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 2020 Research Papers Committee, which is headed by Prof. Saday Sadayappan, University of Utah and Pacific Northwest National Laboratory, USA, with Brad Chamberlain, CRAY, USA, as Deputy Chair.

The research paper sessions will be held from Monday, June 22, through Wednesday, June 24, 2020. 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. Each accepted paper will be considered for the awards. The Hans Meuer Award winner will receive a cash prize of 5,000 Euros.

IMPORTANT DATES
* Full Submission Deadline: Monday, October 21, 2019, 11:59pm AoE (no extension)
* Notification of Acceptance: Wednesday, February 05, 2020
* Research Paper Sessions at ISC 2020: Monday, June 22 – Wednesday, June 24, 2020

PUBLICATION
All accepted research papers will be published in the Springer‘s Lecture Notes in Computer Science (LNCS] series in Gold Open Access. Gold OA makes the final version of a research paper freely and permanently accessible for everyone, immediately after publication. Paper submissions are required to be within 18 pages in LNCS style. For the camera-ready version, authors are automatically granted one extra page to incorporate reviewer comments.

Volumes published as part of the LNCS series are made available to the following indexing services: Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.]

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. 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

3. 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

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

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

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

7. Performance Modeling & Measurement
- Performance models
- Performance prediction & engineering
- Performance measurement
- Power consumption
- Energy measurement & modelling

8. Emerging Technologies
- Quantum computing architecture
- Software for quantum computing
- Quantum algorithms
- Quantum annealing

Note: Submissions on other innovative aspects of high performance computing are also welcome. You will be asked to pick a primary and a secondary track from the eight above for your submission.

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