Call for Papers for the 18th Workshop on General Purpose Processing with GPU (GPGPU 2026)
Held in cooperation with ASPLOS’26
Location: Pittsburgh, USA
Date: March 22, 2026 or March 23, 2026
Event website: https://mocalabucm.github.io/gpgpu2026/
Important Dates (11:59 pm, Anywhere on Earth)
Papers due: Jan 21, 2026
Notification: Feb 16, 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
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
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://www.acm.org/publications/proceedings-template. Please use the “sigconf” proceedings template.
Submission link: https://easychair.org/conferences?co=nf=gpgpu2026