[hpc-announce] CFP: The 16th Workshop on General Purpose Processing using GPU (GPGPU 2024)

[Daniel Wong]

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[CFP] The 16th Workshop on General Purpose Processing using GPU (GPGPU 2024)

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Call for Papers for GPGPU-16: The 16th Workshop on General Purpose
Processing using GPU
Held in cooperation with PPoPP’24
Full-Day Workshop (March 2 or 3, 2024)
Edinburgh, UK

https://mocalabucm.github.io/gpgpu2024/

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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

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Important Dates (Tentative) (11:59 pm, Anywhere on Earth)
Papers due: Nov 28, 2022
Notification: Jan 6, 2023
Final paper due: Feb 17, 2023

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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.