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PDPTA 2020 : 26th Int'l Conf on Parallel and Distributed Processing Techniques and Applications
PDPTA 2020 : 26th Int'l Conf on Parallel and Distributed Processing Techniques and Applications

PDPTA 2020 : 26th Int'l Conf on Parallel and Distributed Processing Techniques and Applications

Las Vegas, Nevada, USA
Event Date: July 27, 2020 - July 30, 2020
Submission Deadline: March 24, 2020
Notification of Acceptance: April 09, 2020
Camera Ready Version Due: May 05, 2020




About

PDPTA is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. It is being held jointly (same location and dates) with a number of other research conferences; namely, The 2020 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'20).

We anticipate having between 1,000 and 2,000 participants in the Congress. The congress includes 20 major tracks composed of: 122 technical, research, and panel sessions as well as a number of keynote lectures and tutorials; all will be held simultaneously, same location and dates: July 27-30, 2020. Last year, the Congress had attracted speakers/authors and participants affiliated with over 158 different universities (including many from the top 50 ranked institutions), major IT corporations (including: Microsoft, Google, Apple, SAP, Facebook, Oracle, Amazon, Yahoo, Samsung, IBM, Ebay, GE, Siemens, Philips, Ericsson, BAE Systems, Hitachi, NTT, Twitter, Uber Technologies, ...), major corporations (including: Exxon Mobil, Johnson & Johnson, JPMorgan Chase, PetroChina, GlaxoSmithKline, HSBC, Airbus, Boeing, Hyundai, Goldman Sachs, Deutsche Bank, ...), government research agencies (NSF, NIH, DoE, US Air Force, NSA National Security Agency, Central Intelligence Agency, ...), US national laboratories (including, NASA National Aeronautics and Space Administration, ANL Argonne National Lab, Sandia National Lab, ORNL Oak Ridge National Lab, Lawrence Berkeley National Lab, Lawrence Livermore National Lab, Los Alamos National Lab, Pacific Northwest National Lab, ...), and a number of Venture Capitalists as well as distinguished speakers discussing Intellectual Property issues. Last year, 54% of attendees were from academia, 25% from industry; 20% from government and funding agencies; and 1% unknown. About half of the attendees were from outside USA; from 69 nations.

The primary goal of this conference is to provide a platform for researchers, scientists, industry experts and scholars to share their novel ideas and research results on the application of human cognition models in various practical computing applications. Through this conference, the organizers would like to develop an interdisciplinary venue to contribute and discuss the ongoing innovations, applications and solutions to challenging problems of engineering human brain processes, learning mechanisms and decision making processes.


Call for Papers

Topics of interest include, but are not limited to, the following:

  • Big Data and High-Performance Computing: Novel computational methodologies, HPC and scalable algorithms for enhancing data quality, models and frameworks for Big Data, graph algorithms, computational science, computational intelligence, Scalable systems and architectures for Big Data, ...
  • Parallel/Distributed Applications: Numerical computations/methods, neural networks and fuzzy logic, medicine, remote sensing, computer vision, computer graphics and virtual reality, parallel/distributed databases, banking, financial markets, high-performance computational biology, ...
  • Parallel/Distributed Architectures: Clusters and parallel systems of various topologies, supercomputers, shared memory, distributed memory, general- and special-purpose architectures, instructional level parallelism, ...
  • Networks and Interconnection Networks: Scalable networks, reconfigurable networks, routing issues, general-purpose network performance for distributed applications, network protocols, internet technology, optical interconnections and computing, novel network topologies, ...
  • Energy/power-aware Computing: Energy-aware resource management, green computing, energy efficiency planning, energy-aware technologies, low power virtualization and software techniques, low power logic/circuit/process technology design, methods and tools for forecasting, estimating, and validating power use, ...
  • Reliability and Fault-tolerance: Software and hardware fault-tolerance (system- and application-level), fault diagnosis, fault-tolerance measurement.
  • Building Block Processors: Applications of processors that can be used as basic building blocks for multicomputer systems.
  • Real-time and Embedded Systems: Small-scale parallel systems for high-performance control, data acquisition, and analysis; configuration, routing, scheduling, performance guarantees, ...
  • Parallel/Distributed Algorithms: Algorithms exploiting clusters and general-purpose distributed and parallel systems, new vector/pipeline issues, shared memory, distributed memory, virtual memory, ...
  • Multimedia Communications, Systems, and Applications: High-speed networking, multimedia architectures and protocols, multimedia applications, quality of service support, operating system and networking support, internet tools and applications, audio/video delivery over the internet, ...
  • Software Tools and Environments for Parallel and Distributed Platforms: Operating systems, compilers, languages, debuggers, monitoring tools, software engineering on parallel/distributed systems, ...
  • High-performance Computing in Computational Science: Intra-disciplinary and multi-disciplinary research programs and applications.
  • Performance Evaluation and Management of Wireless Networks and Distributed Systems.
  • FPGA-based Design.
  • Performance Analysis, Evaluation, Prediction, ...
  • Nanotechnology in HPC.
  • High-performance Mobile Computation and Communication.
  • Object Oriented Technology and Related Issues.
  • Scheduling and Resource Management.
  • Petri Nets: Theory, Analysis, Tools and Applications.
  • Web-based Simulation and Computing.
  • Cloud Computing.
  • Complex Systems, Theory and Applications.
  • Other Aspects and Applications relating to High-Performance Computations.
  • Emerging Technologies



Summary

PDPTA 2020 : 26th Int'l Conf on Parallel and Distributed Processing Techniques and Applications will take place in Las Vegas, Nevada, USA. It’s a 4 days event starting on Jul 27, 2020 (Monday) and will be winded up on Jul 30, 2020 (Thursday).

PDPTA 2020 falls under the following areas: HPC, PARALLEL COMPUTING, DISTRIBUTED COMPUTING, COMPUTER ARCHITECTURE, etc. Submissions for this Conference can be made by Mar 24, 2020. Authors can expect the result of submission by Apr 09, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before May 05, 2020 to the official website of the Conference.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the PDPTA 2020

  • Short Name: PDPTA 2020
  • Full Name: 26th Int'l Conf on Parallel and Distributed Processing Techniques and Applications
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of PDPTA 2020
  • Event Type: Conference
  • Website Link: https://americancse.org/events/csce2020/conferences/pdpta20
  • Location/Address: Las Vegas, Nevada, USA


Credits and Sources

[1] PDPTA 2020 : 26th Int'l Conf on Parallel and Distributed Processing Techniques and Applications


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