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GPGPU 2023 : 15th Workshop on General Purpose Processing Using GPU

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Conference Series : General Purpose Processing on Graphics Processing Units
 
Link: https://mocalabucm.github.io/gpgpu2023/
 
When Feb 25, 2023 - Feb 26, 2023
Where Montreal, Canada
Submission Deadline Dec 9, 2022
Notification Due Jan 6, 2023
Final Version Due Feb 17, 2023
Categories    computer architecture   high performance computing   computer science   engineering
 

Call For Papers

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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: December 09, 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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