Technical Papers

TopHPC delivers the top technical program in the High Performance Computing and Big Data community which meets the uppermost academic and industrial standards. The technical program is included interesting talks with famous keynote speakers, research papers, tutorials, discussion panels, industrial sessions and exhibition.


Topic Areas


The development, evaluation and optimization of scalable, general-purpose, high performance algorithms.
Topics include:

  • Algorithmic techniques to improve energy and power efficiency
  • Algorithmic techniques to improve load balance
  • Data-intensive parallel algorithms
  • Discrete and combinatorial problems
  • Fault-tolerant algorithms
  • Graph algorithms
  • Hybrid/heterogeneous/accelerated algorithms
  • Network algorithms
  • Numerical methods, linear and nonlinear systems
  • Scheduling algorithms
  • Uncertainty quantification
  • Other high performance algorithms

The development and enhancement of algorithms, models, software and problem solving environments for domain-specific applications that require high performance resources.
Topics include:

  • Bioinformatics and computational biology
  • Computational earth and atmospheric sciences
  • Computational materials science and engineering
  • Computational astrophysics/astronomy, chemistry, and physics
  • Computational fluid dynamics and mechanics
  • Computation and data enabled social science
  • Computational design optimization for aerospace, energy, manufacturing and industrial applications
  • Computational medicine and bioengineering
  • Numerical methods, linear and nonlinear systems
  • Use of uncertainty quantification techniques
  • Other high performance applications

All aspects of high performance hardware including the optimization and evaluation of processors and networks.
Topics include:

  • Innovative hardware/software co-design
  • Interconnect technologies (e.g., Ethernet and Routable PCI), switch/router architecture, network topologies, on-chip or optical networks and network fault tolerance
  • Software defined networks
  • Memory systems, novel memory architectures, caches
  • Parallel and scalable system architectures
  • Power-efficient, resilient, highly-available, stream, vector, embedded and reconfigurable architectures, and emerging technologies
  • Processor architecture, chip multiprocessors, GPUs, custom and reconfigurable logic
  • Protocols (e.g., TCP, UDP and sockets), quality of service, congestion management and collective communication

All software aspects of clouds and distributed computing that are related to high performance computing systems, including software architecture, configuration, optimization and evaluation.
Topics include:

  • Compute and storage cloud architectures
  • Data management
  • Problem-solving environments
  • Programming models and tools
  • Management of Quality of service and service-level agreements
  • Scheduling, load balancing, resource provisioning, and energy efficiency
  • Self-configuration, management, information services and monitoring
  • Service-oriented architectures and tools for integration of clouds, clusters and distributed computing
  • Multitenancy, virtualization, and overlays
  • Security and identity management

All aspects of data analytics, visualization and storage related to high performance computing systems.
Topics include:

  • Databases and scalable structured storage for HPC
  • Data mining, analysis and visualization for modeling and simulation
  • Ensemble analysis and visualization
  • I/O performance tuning, benchmarking and middleware
  • Scalable storage, next-generation storage systems and media
  • Parallel file, storage and archival systems
  • Provenance, metadata and data management
  • Reliability and fault tolerance in HPC storage
  • Scalable storage, metadata and data management
  • Storage networks
  • Storage systems for data intensive computing
  • Data science
  • Visualization and image processing

Novel methods and tools for measuring, evaluating, and/or analyzing performance. “Performance” may be broadly construed to include any number of metrics, such as execution time, energy, power, or potential measures of resilience. Submissions in this area are encouraged to show the applicability and reproducibility of their results by means such as sensitivity analysis, performance modeling, or code snippets.
Topics include:

  • Analysis, modeling, or simulation methods
  • Empirical measurement techniques on real-world systems
  • Scalable tools and instrumentation infrastructure for measurement, monitoring, and/or visualization of performance
  • Novel, broadly applicable performance optimization techniques
  • Methodologies, metrics, and formalisms for performance analysis and tools
  • Performance studies of HPC subsystems, such as processor, network, memory and I/O
  • Workload characterization and benchmarking techniques

Technologies that support parallel programming for large-scale systems as well as smaller-scale components that will plausibly serve as building blocks for next-generation high performance computing architectures.
Topics include:

  • Programming language techniques for reducing energy and data movement (e.g., precision allocation, use of approximations, tiling)
  • Solutions for parallel programming challenges (e.g., interoperability, memory consistency, determinism, race detection, work stealing or load balancing)
  • Parallel application frameworks
  • Tools for parallel program development (e.g., debuggers and integrated development environments)
  • Program analysis, synthesis, and verification to enhance cross-platform portability, maintainability, result reproducibility, resilience (e.g., combined static and dynamic analysis methods, testing, formal methods)
  • Compiler analysis and optimization; program transformation
  • Parallel programming languages, libraries, models and notations
  • Runtime systems as they interact with programming systems

All aspects related to novel but at the same time pragmatic practices of HPC that allow for results that are far superior with respect to time-, energy-, or cost-to-solution. These include infrastructure, services, facilities and large-scale application executions. Submissions that develop best end-to-end practices, optimized designs or benchmarks are of particular interest. Although concrete case studies within a conceptual framework often serve as the basis for accepted papers, how the experience generalizes is particularly encouraged.
Topics include:

  • Bridging of cloud data centers and supercomputing centers
  • Comparative system benchmarking over a wide spectrum of workloads
  • Deployment experiences of large-scale infrastructures and facilities
  • Facilitation of “big data” associated with supercomputing
  • Long-term infrastructural management experiences
  • Pragmatic resource management strategies and experiences
  • Procurement, technology investment and acquisition best practices
  • Quantitative results of education, training and dissemination activities
  • User support experiences with large-scale and novel machines
  • Infrastructural policy issues, especially international experiences
  • Software engineering best practices for HPC

Operating system (OS), runtime system and other low-level software research and development that enables allocation and management of hardware resources for high performance computing applications and services.
Topics include:

  • Alternative and specialized parallel operating systems and runtime systems
  • Approaches for enabling adaptive and introspective system software
  • Communication optimization
  • Distributed shared memory systems
  • System support for global address spaces
  • Enhancements for attached and integrated accelerators
  • Interactions between the OS, runtime, compiler, middleware, and tools
  • Parallel/networked file system integration with the OS and runtime
  • Resource management
  • Run-time and OS management of complex memory hierarchies
  • System software strategies for controlling energy and temperature
  • Support for fault tolerance and resilience
  • Virtualization and virtual machines

Topics include:

  • Architectures for IoT
  • Human-Object Interactions (HOI)
  • Object-Object Interactions (OOI)
  • Privacy/security in IoT
  • IoT applications

Topics include:

  • Quantum Algorithms
  • Open System Dynamics And Decoherence
  • Quantum Circuits
  • Computational Complexity Theory
  • Quantum Information Theory
  • Quantum Dots
  • Quantum Spin Systems
  • Quantum Cryptography
  • Quantum Walks
  • Methods In Quantum Molecular Dynamics
  • Quantum Key Distribution
  • Quantum Many-Body Systems
  • Quantum Gates
  • Quantum Memory
  • Quantum Shannon Theory
  • Quantum Qubits
  • Quantum Communication
  • Trapped-Ion Quantum Engineering
  • Quantum Logic and Simulation
  • Quantum Tomography

Research Papers

The Technical Papers Program at TopHPC is the leading venue in Iran for presenting the highest-quality original research. TopHPC welcomes submissions that make significant contributions to the “state-of-the-practice” by providing compelling insights on best practices for provisioning, using and enhancing high-performance computing systems, services, and facilities and BigData Analytics. ToPHPC 2019 will use a double-blind review process.

TOPHPC2019 PAPER PROCEEDINGS

All accepted TopHPC2019 research papers will be published in the Springer’s CCIS: Communications in Computer and Information Science. The CCIS series has ISSN Number - 1865-0929. The books of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. CCIS page is available at: HTTPS://WWW.SPRINGER.COM/SERIES/7899 , TopHPC in Springer Proceeding Announcement: Springer Proceeding Announcement

Paper Submission

You can submit a paper using the EasyChair system. Direct link to submission page: https://easychair.org/conferences/?conf=tophpc2019 You need to sign up before using the EasyChair system. If you have already registered, you may need to choose the "TopHPC2019" conference and "Author" role. After logging into the system, select “New Submission” from the menu in the top left corner. Then select whether you are submitting a paper/poster for the main conference.

Types of Paper

Two types of researches will be accepted for the conference: the full paper and the short paper.
A full paper is 10-12 pages long and presents the results of a completed scientific study. Full papers are accepted in English.
A short paper is 6-9 pages long and presents tentative results obtained during the course of a scientific study in progress. Short papers are accepted in English.

Paper Formatting

Full and short papers in English must meet Communications in Computer and Information Science by Springer standards. Please refer to Springer author guidelines (MS Word templates can be found here). Authors will be requested to sign Springer's Consent to Publish.

Web Submissions: www.tophpc.com
Email Contact: papers@tophpc.com


IMPORTANT DATES
July 30, 2018
Technical Paper submissions open
January 1, 2019 (Extended to February 1, 2019)
Technical Papers submissions deadline
February 15, 2019 (Extended to March 11, 2019)
Technical Papers notifications sent

Tutorials

As part of its Technical Program, TopHPC will host a collection of tutorials that offer attendees the opportunity to learn from, and interact with, knowledgeable and frequent users of high performance computing (HPC), networking, storage, and Big Data analysis. The TopHPC tutorials committee is soliciting proposals for tutorials to be offered at the congress. Please read the following carefully for details about desired tutorial topics, format and organization, available support for tutorial presenters, the required and suggested contents of a proposal, and how to submit a proposal.

We encourage organizers of accepted tutorials to submit a short promotional video, and ToPHPC will make available to its attendees a web site aggregating links to these videos.

Submission of samples of visual aids is strongly recommended, either as an appendix uploaded with the tutorial proposal file, or as in the form of URLs in the main proposal file that point to materials hosted elsewhere.

If the proposed tutorial includes hands-on demos and/or exercises, the proposal should include detailed evidence that the computing and networking resources needed for the demos/exercises will be available during the tutorial, and that the demos/exercises will work for attendees on those resources (i.e., they have been fully tested and debugged). TopHPC will provide clients wireless network access to all tutorial sessions. Demos and exercises may target common attendee laptop configurations (e.g., using a bootable “live cd”), but should provide a fallback configuration for attendees without access to such a laptop during the tutorial.

How to Submit?

Selection:Members of the TopHPC tutorials committee will review the submitted tutorial proposals, grading them on factors such as:


To submit the tutorial proposal, please follow these instructions:

Tutorial Proposal Format for TopHPC2019

Organizers of accepted tutorials will be required to submit their presentation materials to the congress approximately two and a half months before the congress for the USB stick, and optional promotional videos at least one month before the congress so that they have the potential to attract attendees. Tutorial organizers will have opportunity to update their materials after the initial submission for the download site.

IMPORTANT DATES
June 15, 2018
Tutorial submissions open
January 1, 2019
Tutorial submissions deadline
February 1, 2019 (tentative)
Tutorial conditional notification

Awards

Best Paper Awards

Best Paper Award
500 Euros
sponsored by Springer