HPCS' 2019: International Conference on High Performance Computing & Simulation
- Call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details
This article provides the call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details of HPCS' 2019: International Conference on High Performance Computing & Simulation all at one place.
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Conference Location
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Dublin, Ireland
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Conference Date
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2019-07-15
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Notification Date
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2019-03-25
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Submission Deadline
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2019-02-21
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Conference Website and Submission Link
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http://hpcs2019.cisedu.info/
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Conference Ranking
International Conference on High Performance Computing & Simulation ranking based on CCF, Core, and Qualis is shown below:
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CCF Ranking
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Core Ranking
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Qualis Ranking
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Click here to check the ranking of any conference.
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About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.
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About Core Ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. This ranking is governed by the CORE Executive Committee. To know more about Core ranking, visit Core ranking portal.
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About Qualis Ranking: This conference ranking is published by the Brazilian ministry of education. It uses the h-index as a performance metric to rank conferences. Conferences are classified into performance groups that range from A1 (to the best), A2, B1, B2,..., B5 (to the wost). To know more about qualis ranking, visit here
Conference Acceptance Rate
Below is the acceptance rate of International Conference on High Performance Computing & Simulation conference for the last few years:
| Year |
Submitted Papers |
Accepted Papers |
Accepted Percentage/Acceptance Rate |
We are working hard to collect and update the acceptance rate details of the conferences for recent years. However, you can consider the above (if available) acceptance rates to predict the average chances of acceptance of your research paper at this conference.
Conference Call for paper
Invitation:You are cordially invited to participate in and attend the 2019 International Conference on High Performance Computing & Simulation to be held in Dublin, Ireland, July 15 – 19, 2019. The conference is to address, explore and exchange information on the state-of-the-art in high performance and large scale computing systems, their use in modeling and simulation, their design, performance and use, and their impact. Participation is extended to researchers, designers, educators and interested parties in all related disciplines and specialties.Purpose:The conference will include invited presentations by experts from academia, industry, and government as well as contributed paper presentations describing original work on the current state of research in HPC & simulation technologies and systems and related issues.Topics for main conference and its tracks include (but are not limited to):Architectures and Systems
Cluster and Grid Computing
Enterprise and Federated Architectures
High Perf Computing & Architectures for Clouds and Edge Computing
Fine-Grain Parallelism and Architectures
Network and Security Processors
Scalable Computing
Distributed Shared Memory
Peer-to-Peer Architectures and Networks
High Performance Interconnection Networks
High Performance I/O
HPC Monitoring & Instrumentation
Data Flow Machines
Architectures for High Performance Ubiquitous & Pervasive Computing
Exascale Architectures
Multi-Core Architectures and Support
Instruction-, Thread- and Memory-Level Parallelism
Embedded and Application-Specific Architectures
Reconfigurable Computing & FPGA Based Architectures
Memory, Storage, and Warehousing
Energy/Power Aware HPC Architectures and Green Computing
HPC Architectures for Mobility
Broadband and High Performance Networks
Sensors and High Performance Networks
Pervasive High Performance Computing
Nature Inspired HPC Architectures
Innovative HPC (Autonomic, Affective, Quantum, ...)
Neuro and Quantum ComputingAlgorithms
Modeling, Simulation and Evaluation Techniques of HPC Systems
Partitioning, Mapping, and Scheduling
Load Balancing and Sharing
Mutual Exclusion, Deadlock Detection
Causality and Time
Network Flow and Congestion
Message Passing
Query Processing and Information Retrieval
Learning and Intelligence Algorithms
Modeling and Simulation using HPC Systems
Reliable Parallel, and Distributed Algorithms
Routing, Synchronization, Consistency
Resource Allocation, Sharing and Management
Coordination, Consensus, and Agreement
Fault Tolerance and Resilience in HPC Systems
Network and Systems Protocols
HLA, InfiniBand and Other Related Standards
High Performance Data Mining and Searching
HPC Security, Authentication, Access Control
Combinational Optimization AlgorithmsSoftware and Middleware in HPC Systems
Operating Systems and Support
Compiler Design and Optimization
Name Services and Naming
Interprocess Communication
Transaction and Concurrency Control
Brokering Middleware
Enterprise Based Technologies
Benchmarking and Assessment
Web Ontologies and Semantics
Open CL Platforms and Developments
Virtualization and Virtual Machines
Programming Languages
Accelerators Programming
Libraries and Programming Environments
Parallel and Distributed File Systems
Distributed Objects and Remote Invocation
Object-Oriented Programming & Design
Software Development Tools and Support
Software Monitoring and Measurement
Visualization, Scientific Visualization and RenderingApplications-Oriented High Performance
General-Purpose computation on Graphics Processing Units (GPGPU)
Parallelization of Simulation
Bioinformatics and Biocomputing
High Performance Internet and Web Computing
Federated and Legacy Applications
Autonomous Vehicles and Robotics Systems
High Performance Knowledge Based Systems
Agent and Multi Agent Based Applications
Neural, Fuzzy, and Rough Sets in HPC
Large Scale Scientific Computing
e-Sciences
Service Oriented Applications
Applied Modeling and Simulation using HPC
Large Scale Systems for Computational Sciences (Biological, Chemical, Physical, Bioinformatics, Environmental, Transportation, Agriculture, etc.)
Clouds and Edge Computing and Applications
Smart Cities and Ambient Intelligence
Data Intensive Supercomputing
Big Data and Data Analytics
Real-time and embedded P & D Applications
Distributed Multimedia Systems
Web Services and Applications
P & D Industrial and Manufacturing Applications
Databases, Repositories and Their Applications
Mobile and Wireless High Performance Applications
HPC and Education
Cooperative Information Systems and Applications
Computer Supported Decision Making using HPC
Granular Computing and its Applications
HPC in Digital Signal and Image Processing and Vision
Vision, Image Processing, and Pattern Recognition
Business Intelligence Machine Learning ApplicationsHPCS 2019 Special Sessions
SS01: Virtualization in High Performance Computing and Simulation (VIRT 2019)
SS02: Benchmarking and High Performance Computing for Applications and Optimization (HPBench 2019)
SS03: Biologically Inspired Parallel and Distributed Computing, Algorithms and Solutions (BICAS 2019)
SS04: Compiler Architecture, Design and Optimization (CADO 2019)
SS05: High Performance Services Computing and Internet Technologies (SerCo 2019)
SS06: Trusted Ubiquitous Networks & Multimedia Contents Protection (TUN-MM 2019)
SS07: Digital Home Networks & Ambient Intelligence (DHN-AmI 2019)
SS08: High Performance Parallel and Distributed Data Mining (PDDM 2019)
SS09: Internet of Things and HPC: Devices, Networks, and Applications (IoT-HPC 2019)
SS10: High Performance Mission Critical System Development (HiPMiC 2019)
SS11: Advances in Computational Methods in Electromagnetics (ACME 2019)
SS12: Fuzzy-based Simulation Approaches in Science and Engineering (FSASE 2019)
SS13: High Performance Computing and Modeling & Simulation Education (HPCEd 2019)The VIRT topics include (but are not limited to) the following:
Virtualization in HPC
o Energy efficient solutions for HPC applications in the cloud environment
o High-availability based on system-level virtualization mechanisms for HPC
o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC
o Performance and evaluation of diverse HPC workloads in virtualization environment
o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC
o Flexibility and Ease of system administration and management for virtualized environments for HPC
o Running diverse workloads
o Running heterogeneous Operating Systems
o Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtime
o Scheduling of resources and Workloads
o Software Defined Data Centers (SDDC)
o Hypervisors and other virtualization solutions tailored for HPC systems
o Big Data and Analytics in Virtualized Environments
o Enterprise High Performance Computing in Virtualized Environments
Accelerators in Virtualized HPC Environments:
o Virtualized GPUs
§ Scheduling of Virtual GPUs
o Using FPGAs in Virtualization Stack
§ Dynamic Reconfiguration of FPGAs
IO Virtualization
o Network Virtualization
o SR-IOV
o Software Defined Networking (SDN)
o Storage Virtualization
o RDMA and vRDMA
Containers in HPC
o Isolation of Multiple User-Spaces
o Running containers in Virtual Machines
Tools
o Virtualization solutions for dealing with heterogeneity in HPC environments
o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs
o Operating system support for virtualization in HPC systems
o Debugging and/or profiling in virtual environments
Algorithms
o Distributed Resource Scheduling
o Distributed Computing
AI, Machine Learning and Deep Learning
o Virtualization of Deep Learning Workloads
o Deep Learning in HPC Simulations
o Resource Allocation Using Machine Learning
o Reinforcement Learning for Resource Allocation
o Machine Learning to build tools for measurement & calibration
Virtualization in SimulationThe HPBench topics include (but are not limited to) the following:
Open Platforms for Parallel and Distributed Application Benchmarking and Optimization
Benchmarking on the Cloud
Benchmarking of Clusters, Supercomputers, and large-scale systems
Benchmarking the Performance of I/O
Benchmarking of Energy and Energy Efficiency
Benchmarking Web Services
Virtualization for Distributed Benchmarking
Data Distribution for Benchmarking
Performance results of benchmarks on modern platforms
Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems
Benchmarking of Parallel Scientific and Business Applications
Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
Techniques, frameworks and results concerning the benchmarking of library packages
Tools and frameworks for performance modeling systems and applications
Tools and frameworks for simulation, measurement and monitoring
Performance Measurements, Monitoring, Modeling and Simulation
Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike)
Mathematical Foundations of Benchmarking, Metrics and HeuristicsThe BICAS Session topics include (but are not limited to) the following:
Biological systems, computing and informatics
Bio-inspired Hardware, Software and Design
Bio-inspired Parallel and distributed algorithms
Artificial life/intelligence, complex systems and complex networks
Self-Organization, Evolution and Adaptation
Natural parallelism and concurrency in computing
Biologically inspired distributed systems and networks
Bio-inspired modeling of real-life phenomena and its simulation
Swarm Intelligence
Cellular Automata
Genetic programming and evolutionary algorithms
Neurocomputing, artificial intelligence and machine learning
Artificial Neural Networks and Systems, Deep Learning
Collective behavior and swarm intelligence
Communication and multi-agent simulation
Membrane Computing
DNA Computation
Quantum Computation
Immunocomputing and Computing Inoculation
Amorphous Computing
Biological Fault Tolerance
Bio-inspired applications and case studiesThe CADO Session topics include (but are not limited to) the following:This session aims at examining different solutions to compiler architecture, design, construction and optimization problems and includes, but is not limited to:
Compiler abstraction and intermediate representations
Integration of language features, representations, optimizations, and runtime support for parallelism
Auto-parallelization
Binary translation
Compiler-support for parallelism mapping, thread extraction, task scheduling, speculation, transaction, memory management, data distribution and synchronization
Compiler support for multi-core architectures, GPUs, CGRAs, FPGAs, and accelerators
Interpretation techniques, including program representation, analysis, and transformation;
Code generation, optimization, synthesis and verification
Run-time techniques and just-in-time compilation
Platforms, tools, debuggers, and profilers
Domain specific languages and frameworks (Machine learning, Scientific Computing, Data Science, ...)
Domain specific techniques (e.g., mobile environments, embedded systems, ...)
Distributed computing and communication avoiding algorithms
Combinations of the above The SerCo Session topics include (but are not limited to) the following:The special session seeks works dealing with topics that revolve around the general combination of SOA, data intensive applications and temporal requirements. The technology space for this work may relate to the following not-limited list of technologies and use cases:
Foundational aspects of SOA, Services Computing and HPC
Service oriented computing architectures for Big data and data-intensive tasks
Internet of Things Technologies for Services Computing
Edge and Fog Computing
HPC Cloud and Services oriented computing
Service-oriented Computing for Smart Systems and Cyber Physical Systems
Smart & Future Cities and HPC Systems
System Virtualization and Container infrastructures for Services Computing
Microservice-based systems and architectures
Model driven service engineering (MDSE) architectures and systems
Interoperability in Enterprises and Services Computing
Lambda and nano services
Service migration and other approaches to Elastic Computing
Operations and Management for Service-Based Systems
Software Engineering and Programming models for Service Oriented Computing
Service-oriented Business Models and Business Process Integration
Standards and Specifications of Services
Service Security, Privacy and Trust
Ontology and Semantic Web for Services Computing
Green Web Services
Service-level Fault-tolerance
Robustness and Resilience
Services in Developing Countries
Linked Open Data and Web Services
Service-based Grid/Cloud/Autonomic Computing
Quality of Service and Cost of Service management
Uncertainty in Web/Cloud Services
Services selection and recommendation
Crowdsourcing services
Use cases for Service-oriented Computing
HPC Machine Learning
Storage Services
HPC Cluster Management Services
Vehicular Services
Bioinformatic Services
Prediction and Evaluation of Service Performance Components
Service Level Agreements
Resource Management ServicesThe TUN-MM Session topics include (but are not limited to) the following:
Secure Ubiquitous Computing & Web Services
Ubiquitous Interactions and Mobile Systems
Reliable Ubiquitous Sensing
Mobile Social Networks and Context and Situational Awareness
IP, Privacy and Trust in Ubiquitous Networks
Networking and Technologies for Interactive Multimedia Services
Cloud-based Mobile Media System
Secure Digital Multimedia Broadcasting
Multimedia Contents Sharing & Risk Management
Multimedia Content Delivery
Enhanced QoS for Mobile Media
Contents Security, Protection and Forensics in Multimedia & Social Networks
Service-oriented Media Management
Digital Rights Management & Interoperability
Methodologies for Establishing Trust Among Unknown/Un-trusted Entities
Authentication, Authorization and Access Control in Ubiquitous Networks
Metrics and Measurement Schemes
Monitoring and Assessment
Performance Modeling and Simulation of Ubiquitous and Multimedia Systems
Design of Multimedia ApplicationsThe DHN-AmI Session topics include (but are not limited to) the following:
Environmental sensing and applications
Middleware for wireless sensor networks
Sensor fusion, tracking and positioning
Modelling and simulation of smart environments
Body-worn and Environmental sensor networks architectures
Assistive Living and Healthcare applications
Context and location-aware Frameworks and Sensing
Security Model, Architecture, Mechanisms and Protocols for Digital Home Networks
Multimodal interfaces
Mining techniques for mobile and sensor data
Learning, reasoning and adaptation techniques
Context-Awareness in Assistive Environments
Digital Rights Management & Interoperability
Authentication, Authorization and Access Control in Digital Networks
3D Display and Quality Test Methods for Consumer Electronics
IP, Privacy and Usage Control for Home Networks
Trust Management and Evaluations Among Users
Secure Digital Multimedia Broadcasting
Multimedia Contents Sharing Modeling and Simulations
Contents Security and Protection in Multimedia Social Networks
Internet of Things and Intelligent Ambience
NFC/RFID integration in the Internet of Things
Cyber Physical Systems
User interactions and experience
Mobile multimedia platforms
Embedded Multimedia in wearable computingThe PDDM Special Session topics include (but are not limited to) the following:
Parallel and distributed data mining algorithms on GPUs, many-cores, and accelerators
Grid-based and cluster-based data mining algorithms and systems
Data mining on Clouds
Data mining and blockchain
Data mining exploiting the Map-Reduce paradigm
Data mining exploiting approximate computing and information granulation
Message passing parallel data mining algorithms using MPI
Scalable shared-memory parallel data mining algorithms using OpenMP
FPGA for parallel data mining applications
Middleware for high-performance data mining
Peer-to-peer data mining
Programming paradigms to support high-performance computing for data mining
Programming models, tools, and environments for high-performance data mining
Benchmarking and performance studies of high-performance data mining solutions and applications
Performance models for high-performance data mining applications and infrastructures
Optimization techniques for data management in high-performance computing for data mining
Energy-efficient distributed data mining algorithms and systems
Scalable algorithms for deep learning and machine learning
Parallel and distributed data mining exploiting simulations
Distributed mining of complex and massive data streams
Distributed techniques for security and privacy preserving data mining
Data mining in social networks and social media
Data mining in mobile and multimedia environments
Data mining aspects of scalable artificial intelligence applications
Web mining and scalable information retrieval
Applications of parallel data mining in business, science, engineering, medicine, and other disciplines.The IoT-HPC topics include (but are not limited to) the following:
IoT Foundations, Principles, Design and Technologies
Federated IoT Platforms, Devices and Services
IoT, Data Centers and High-Performance Computing
Integration of IoT with Cloud and Fog computing
Data centers management software
Interoperability solutions for IoT systems and platforms
Energy aware architecture and protocols for IoT assisted systems
Autonomous and self-organizing IoT systems
Modeling and simulation of large-scale IoT based scenarios
Security, privacy and trust for IoT Devices and Platforms
Blockchain schemes and the Internet of Things (IoT) systems
IoT system realization and deployment
Personal wearables
Smart home appliances
IoT enabled smart utility grid architectures and models
IoT domain applications in healthcare, disasters, security, smart buildings and cities, education, industry, manufacturing, logistics, intelligent transportation, and more
Case studies and prototypesThe HiPMiC track topics of interest include (but are not limited to) the following:
Formal development methods
Agile development for mission critical systems
Fault tolerance and resilience
Round-trip engineering and traceability
Multi-core development
Life-cycle management
Critical infrastructures for cyber-physical systems
Smart household appliances
multi-physics simulation for critical systems driven product development
Embedded security in critical infrastructures
Supervisory control and data acquisition (SCADA) systems
Critical infrastructure IoT based security
Critical infrastructure surveillance, interception, blocking and sovereignty
Submission Deadline
HPCS' 2019: International Conference on High Performance Computing & Simulation submission deadline is 2019-02-21.
Note: It is generally recommended to submit your conference paper
on or before the submission deadline. Generally, conferences do not
encourage to submit the research paper after the deadline is over.
In rare scenarios, conferences extend their deadline. Decision about the
extension of the deadline is generally updated on the official conference webpage.
Notification date
Notification date of HPCS' 2019: International Conference on High Performance Computing & Simulation is 2019-03-25.
Note: This is the date on which conference announces the result about acceptance or rejection of submitted papers. If your research paper is accepted, the conference will request you to submit the camera ready version of your research paper by the due date. Due date to submit the camera ready version of the paper is generally posted on the official web page of the conferences or notified to you via. email.
Conference Date
HPCS' 2019: International Conference on High Performance Computing & Simulation will start on 2019-07-15.
Note: This is the date on which the conference starts.
Conference Location
HPCS' 2019: International Conference on High Performance Computing & Simulation will be organized at Dublin, Ireland. This is the place where the conference is organized and the research paper is to be presented.
