[hpc-announce] Call for paper for the 18th Workshop on General Purpose Processing with GPU (GPGPU 2026)

[Xu, Daoxuan]

Held in cooperation with ASPLOS’26

Location: Pittsburgh, USA
Date: March 22, 2026 or March 23, 2026
Event website: https://urldefense.us/v3/__https://mocalabucm.github.io/gpgpu2026/__;!!G_uCfscf7eWS!YGKVvpdiQAvjavthAbXXNLvGQtG_GcCA0VtA4tAsacrzCEWoRAS_wkQSPfJDqBRPbVa7b2fZ2khpYdboCMiw$ 

Important Dates (11:59 pm, Anywhere on Earth)
Papers due: Jan 14, 2026
Notification: Feb 8, 2026

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.

Topics:
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
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Next-generation GPU architectures
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Energy-efficient GPU designs
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Scalable multi-GPU systems
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GPU memory hierarchies and management
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Programming Models and Compilers
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High-level programming abstractions for GPUs
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Compiler optimizations for GPU codes
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Source-to-source translations and tools
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Debugging and profiling tools for GPUs
  *
GPU Algorithms and Data Structures
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Parallel algorithms tailored for GPUs
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Data structures optimized for GPU memory hierarchies
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Algorithmic primitives and building blocks
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Performance Optimization Techniques
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Performance modeling and benchmarking
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Auto-tuning and performance portability
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Techniques for reducing communication overheads
  *
GPU Applications
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Case studies of real-world GPU applications
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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
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Integration of GPUs with Other Technologies
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GPU and FPGA co-processing
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Hybrid systems (e.g., CPU-GPU, GPU-TPU integration)
     *
Cloud-based GPU computing
  *
Challenges and Future Trends
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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


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 conference format (review mode, with page numbers). 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://urldefense.us/v3/__http://www.sigplan.org/authorInformation.htm__;!!G_uCfscf7eWS!YGKVvpdiQAvjavthAbXXNLvGQtG_GcCA0VtA4tAsacrzCEWoRAS_wkQSPfJDqBRPbVa7b2fZ2khpYc3MqRWh$ > https://urldefense.us/v3/__https://www.acm.org/publications/proceedings-template__;!!G_uCfscf7eWS!YGKVvpdiQAvjavthAbXXNLvGQtG_GcCA0VtA4tAsacrzCEWoRAS_wkQSPfJDqBRPbVa7b2fZ2khpYQwZrpTy$ . Please use the “sigconf” proceedings template.

Submission link: https://urldefense.us/v3/__https://easychair.org/conferences?co=nf=gpgpu2026__;!!G_uCfscf7eWS!YGKVvpdiQAvjavthAbXXNLvGQtG_GcCA0VtA4tAsacrzCEWoRAS_wkQSPfJDqBRPbVa7b2fZ2khpYR9wADr9$ <https://urldefense.us/v3/__https://easychair.org/conferences?conf=gpgpu2026__;!!G_uCfscf7eWS!YGKVvpdiQAvjavthAbXXNLvGQtG_GcCA0VtA4tAsacrzCEWoRAS_wkQSPfJDqBRPbVa7b2fZ2khpYZWzj5jA$ >