ICS 2027

41st ACM International Conference on Supercomputing (ICS 2027)
June 5–11, 2027
Atlanta, Georgia, USA

Website: https://klab-ai3.github.io/ics2027/calls-cfp.html

The ACM International Conference on Supercomputing (ICS) is a leading international forum for presenting research results in high-performance computing (HPC) systems.
ICS 2027 particularly encourages submissions in computer architecture, emerging technologies, and algorithms, alongside its traditional strengths in runtime systems, compilers, and programming systems.
Research addressing the future of supercomputing and demonstrating clear relevance to HPC is especially welcome.

Important Dates

• Abstract Submission Deadline: December 1, 2026
• Paper Submission Deadline: December 7, 2026
• Early Reject Notification: February 11, 2027
• Author Revision Window: February 11–23, 2027
• Final Decision Notification: March 12, 2027

All deadlines are Anywhere on Earth (AoE).

Topics of Interest

• Architecture and Emerging Technologies:
  Processor, accelerator, memory, storage, and interconnect architectures
  Full-system architectures and hardware-software co-design
  Emerging computing technologies, including quantum, superconducting, photonic, analog, and neuromorphic architectures
  Security, reliability, and other emerging challenges relevant to HPC
• AI for HPC and HPC for AI
  Machine learning for HPC system optimization, scheduling, and resource management
  GPU and HPC techniques for accelerating AI and machine learning workloads
  Scalable systems for foundation model training and inference
  Hardware-aware ML compilers and communication-efficient distributed training
• Algorithms and Applications
  Parallel and high-performance algorithms
  End-to-end algorithmic pipelines for large-scale data analytics
  Scalable scientific and computational applications
  HPC-scale processing and analysis of data from scientific instruments and automated laboratories
• Systems Software and Programming
  Compilers, runtime systems, and systems software
  Programming languages, paradigms, and execution models
  Domain-specific languages and scientific computing environments
  Optimization, energy management, and cross-stack techniques

• Performance Tools
  Performance measurement, modeling, simulation, and analysis
  Benchmarking, profiling, tracing, and visualization
  Power, energy efficiency, sustainability, and performance portability
  Performance tools for emerging and heterogeneous HPC architectures

Full CFP and Submission Information: https://klab-ai3.github.io/ics2027/calls-cfp.html

Program Chairs

• Giulia Guidi, Cornell University, USA
• Daniel Wong, University of California, Riverside, USA

Contact: ics2027pcchairs@gmail.com