[hpc-announce] (ICPP 2021 Virtual) - Call for Participation

[Shadi Ibrahim]

Call for Online Participation 
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ICPP 2021: 50th International Conference on Parallel Processing
August 9-12, 2021 
Virtually in Chicago (Argonne National Lab), Illinois, USA
https://oaciss.uoregon.edu/icpp21/ 
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The International Conference on Parallel Processing (ICPP) is one of the oldest continuously running computer science conferences in parallel computing in the world. It is a premier forum for researchers, scientists, and practitioners in academia, industry, and government to present their latest research findings in all aspects of the field. This year will be the 50th year of ICPP. ICPP2021 will be held (VIRTUALLY) in Chicago, USA and special events will be held to celebrate the 50th anniversary at the conference. ICPP2021 is in cooperation with ACM SIGHPC. 
The organizing committee of ICPP 2021 is delighted to invite everyone to participate in the ICPP 2021 conference. ICPP 2021 will be held virtually during August 9 - August 12, 2021. 

Conference Highlights:
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- 88 papers/presentations organized in 22 technical sessions
- 2 keynote speakers 
- 1 panel: celebrating 50 years of ICPP
- 1 bonfire gathering: resume the old tradition virtually with H.J. Siegel
- 6 workshops
- 1 poster session
The full program is available at: https://oaciss.uoregon.edu/icpp21/program.php  

Registration:
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Registration is free, but mandatory: https://cvent.me/ZbDdPr 

Keynote speakers:
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- Rick L. Stevens, Argonne National Laboratory
- Manish Parashar, University of Utah and National Science Foundation

Workshops:
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- AWASN: International Workshop on Applications of Wireless Ad hoc and Sensor Networks
- DUAC: International Workshop on Deployment and Use of Accelerators
- EMS: International Workshop on Embedded Multicore Systems
- LLPP: Workshop on LLVM in Parallel Processing
- PDADS: International Workshop on Parallel and Distributed Algorithms for Decision Sciences
- P2S2: International Workshop on Parallel Programming Models and Systems Software for High-End Computing