[hpc-announce] CFP: PPoPP 2022 - Principles and Practice of Parallel Programming

[Zehra Sura]

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                        Call for Participation

PPoPP 2022 - Principles and Practice of Parallel Programming
April 2 - 6, 2022
https://ppopp22.sigplan.org
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  PPoPP, CGO, HPCA, and CC are conducted as co-located virtual conferences
  for the year 2022. Attendees of any conference can access the contents
  of all other co-located conferences.

Scope:

  PPoPP is the premier forum for leading work on all aspects of parallel
  programming, including theoretical foundations, techniques, languages,
  compilers, runtime systems, tools, and practical experience. In the context
  of the symposium, “parallel programming” encompasses work on
  concurrent and parallel systems (multicore, multi-threaded, heterogeneous,
  clustered, and distributed systems; grids; data centers; clouds; and large
  scale machines). Given the rise of parallel architectures in the consumer
  market (desktops, laptops, and mobile devices) and data centers, PPoPP
  is particularly interested in work that addresses new parallel workloads
  and issues that arise out of extreme-scale applications or cloud platforms,
  as well as techniques and tools that improve the productivity of parallel
  programming or work towards improved synergy with such emerging
  architectures.

Workshops:

Programming Models and Applications for Multicores and Manycores (PMAM)
(https://www.cs.otago.ac.nz/pmam2022/)

Benchmarking in the Datacenter (BID): Expanding to the Cloud
(https://parallel.computer)

Principles of Memory Hierarchy Optimization (PMHO)
(https://roclocality.org/2022/01/24/principles-of-memory-hierarchy-optimization-pmho-2022/)

Workshop on Extreme Heterogeneity Solutions (ExHET)
(https://excl.ornl.gov/ppopp-exhet-2022/)

General Purpose Processing Using GPU (GPGPU)
(https://sarchlab.github.io/gpgpu2022/)


Tutorials:

Programming extremely heterogeneous system with the Minos Computing
Library (MCL)

rCUDA: Over a Decade Offering Remote GPU Virtualization Services (rCUDA)
(https://sites.google.com/site/rcudatutorial/home)

High Performance Machine Learning, Deep Learning, and Data Science
(https://web.cse.ohio-state.edu/~panda.2/ppopp22_dl_tut.html)

Heterogeneous Parallelism with Intel oneAPI
(https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html#gs.v8l40v)

Technical Sessions:

Please check the session information page.
https://ppopp22.sigplan.org/program/program-PPoPP-2022/


Technical Sponsors: ACM SIGPLAN, ACM SIGHPC

Industry Sponsors: Intel, Samsung, Google, Microsoft, Moreh, SKHynix

Academic Sponsors: Seoul National University


Organizers:

  General Chair: Jaejin Lee (Seoul National University)

  Program Co-chairs: Kunal Agrawal (Washington University), Michael
Spear (Lehigh University)

  Video conferencing/Registration Chair: Hyungmin Cho (Sungkyunkwan University)

  Finance Chair: Changhee Jung (Purdue University)

  Workshops and Tutorials Chair: Bernhard Egger (Seoul National University)

  Publications Chair: Jungwon Kim (NVIDIA)

  Artifact Evaluation Co-chairs:
    Milind Chabbi (Uber Technologies)
    Karthik Murthy (Google)
    Prasanth Chatarasi (IBM Research)

  Publicity Co-chairs:
    Zehra Sura (Bloomberg)
    Jidong Zhai (Tsinghua University)

  Web Chair: Wookeun Jung (Moreh)