[hpc-announce] CFP: The 15th Workshop on General Purpose Processing using GPU (GPGPU 2023)

[Daniel Wong]

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[CFP] The 15th Workshop on General Purpose Processing using GPU (GPGPU 2023)

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Call for papers for GPGPU 2023:
The 15th Workshop on General Purpose Processing using GPU
held in conjunction with PPOPP 2023,
February 25 or 26, 2023, Montreal, Canada

[
https://mocalabucm.github.io/gpgpu2023/](https://mocalabucm.github.io/gpgpu2023/)

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IMPORTANT DATES:

Paper submission: November 28, 2022
Paper notification: January 6, 2023
Final paper: February 17, 2023

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Overview:
Massively parallel (GPUs and other data-parallel accelerators) devices are
delivering more and more computing powers required by modern society. With
the growing popularity of massively parallel devices, users demand better
performance, programmability, reliability, and security. The goal of this
workshop is to provide a forum to discuss massively parallel applications,
environments, platforms, and architectures, as well as infrastructures that
facilitate related research. This year, we are no longer limited to GPU
applications and architectures. We welcome research related to any highly
parallel computing accelerators and devices.

Authors are invited to submit papers of original research in the general
area of massively parallel computing and architectures.  Topics include,
but are not limited to:

- Security for GPU architecture and other accelerators
- AR/VR support using GPUs or other accelerators
- Heterogeneous systems
- Cloud-based GPU computing
- Serverless/disaggregated GPU computing
- GPU/accelerator virtualization/containerization
- GPU applications
- GPU performance evaluation/benchmarking
- GPU programming languages
- Operating system support for GPU execution
- GPU compilation techniques
- GPU reliability
- GPU hardware architecture for graphics and general-purpose applications
- Power-constrained GPU techniques
- Multi-GPU systems
- Network system design for intra- and inter-accelerator communication
- Domain-specific accelerators
- Research & design tools for GPU development

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SUBMISSION GUIDELINES:

Full paper submissions must be in PDF format for US letter-size paper. They
must not exceed 6 pages (all-inclusive) in standard ACM two-column
conference format (review mode, with page numbers and both 9 or 10pt can be
used). Publication in GPGPU does not preclude publication of longer
submissions of the work to subsequent conferences or journals. GPGPU also
accepts extended abstracts (2 pages including references) on work in
progress of relevant topics. Authors can select if they want to reveal
their identity in the submission.

Templates for ACM format are available for Microsoft Word, and LaTeX at: [
https://www.acm.org/publications/proceedings-template](https://www.acm.org/publications/proceedings-template).
Please use the “sigconf” proceedings template.

At least one author must present at the workshop conference. Travel fund
may be applied through SIGPLAN Professional Activities Committee (PAC).
Details are available here [
https://www.sigplan.org/PAC/](https://www.sigplan.org/PAC/).

Submission Site: [
https://easychair.org/conferences/?conf=gpgpu2023](https://easychair.org/conferences/?conf=gpgpu2023)

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ORGANIZERS:

Co-chair:
- Hyeran Jeon (University of California, Merced)
- Yifan Sun (William & Mary)
- Daniel Wong (University of California, Riverside)

Web Chair:

- Yuan Feng (University of California, Merced)
Publication Chair:
- Nafis Mistaken (University of California, Riverside)

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Program Committee:
TBD

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Daniel Wong
Associate Professor, Department of Electrical and Computer Engineering
Cooperating Faculty, Department of Computer Science and Engineering
Vice Chair and Graduate Advisor, Computer Engineering Program
University of California, Riverside
http://www.danielwong.org