GPGPU: General Purpose Processing on Graphics Processing Units

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
GPGPU 2024 General Purpose Processing on Graphics Processing Units
Mar 2, 2024 - Mar 3, 2024 Edinburgh, UK Dec 12, 2023
GPGPU 2023 15th Workshop on General Purpose Processing Using GPU
Feb 25, 2023 - Feb 26, 2023 Montreal, Canada Dec 9, 2022
GPGPU 2022 14th Workshop on General Purpose Processing Using GPU
Apr 2, 2022 - Apr 3, 2022 Seoul, South Korea Feb 8, 2022
GPGPU 2020 13th Workshop on General Purpose Processing Using GPU (GPGPU 2020) @ PPoPP 2020
Feb 23, 2020 - Feb 23, 2020 San Diego, CA, United States Dec 16, 2019
GPGPU 2019 General Purpose Processing on Graphics Processing Units
Apr 13, 2019 - Apr 13, 2019 Providence, RI Feb 11, 2019
GPGPU 2015 8th Workshop on General Purpose Processing Using GPUs
Feb 7, 2015 - Feb 8, 2015 San Francisco, CA USA Dec 1, 2014
GPGPU 2014 Seventh Workshop on General Purpose Processing Using GPUs
Mar 1, 2014 - Mar 1, 2014 Salt Lake City, Utah Dec 20, 2013
GPGPU 2013 Sixth Workshop on General Purpose Processing Using GPUs
Mar 17, 2013 - Mar 17, 2013 Houston, TX Dec 19, 2012 (Mar 17, 2013)
GPGPU 2011 Fourth Workshop on General Purpose Processing on Graphics Processing Units
Mar 5, 2011 - Mar 6, 2011 Newport Beach, CA, USA Dec 10, 2010
 
 

Present CFP : 2024

Call for Papers for GPGPU-16
Held in cooperation with PPoPP’24
Full-Day Workshop (March 2 or 3, 2024)

Overview:
GPUs are delivering more and more computing power 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.

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

- GPU Architecture and Hardware
- Next-generation GPU architectures
- Energy-efficient GPU designs
- Scalable multi-GPU systems
- GPU memory hierarchies and management
- Programming Models and Compilers
- High-level programming abstractions for GPUs
- Compiler optimizations for GPU codes
- Source-to-source translations and tools
- Debugging and profiling tools for GPUs
- GPU Algorithms and Data Structures
- Parallel algorithms tailored for GPUs
- Data structures optimized for GPU memory hierarchies
- Algorithmic primitives and building blocks
- Performance Optimization Techniques
- Performance modeling and benchmarking
- Auto-tuning and performance portability
- Techniques for reducing communication overheads
- GPU Applications
- Case studies of real-world GPU applications
- GPU applications in scientific computing, machine learning, graphics, and emerging field (e.g., quantum, neuromorphic, bioinformatics and genomics)
- Performance comparisons between GPU and other parallel computing platforms
- Integration of GPUs with Other Technologies
- GPU and FPGA co-processing
- Hybrid systems (e.g., CPU-GPU, GPU-TPU integration)
- Cloud-based GPU computing
- Challenges and Future Trends
- Reliability and fault tolerance in GPU systems
- Security and privacy concerns in GPU computing
- The future of heterogeneity in computing platforms
- GPU programming and architecture education

Important Dates (11:59 pm, Anywhere on Earth)
Papers due: Dec 12, 2023
Notification: Jan 6, 2023
Final paper due: Feb 17, 2023

Submission Guidelines
Full paper submissions must be in PDF format for A4 or US letter-size paper. They must not exceed 6 pages (excluding references) in standard ACM two-column sigplan format (review mode, sigplan template). 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.
 

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