SCA2027 Call for Posters

We are excited to invite poster submissions and encourage you to submit both abstracts and full posters by the specified deadline.

There will be two submission rounds, with the second round closing with the second round opening only if not all the available slots are filled in the first round. Please be aware that the review process will follow a single-blind guidance.

The poster presentations will take place fully in-person. 

All accepted poster authors are required to attend and present their work during the poster session.

We are also planning Best Poster and Best Student Poster Awards, the latter open to first authors who are students enrolled in BS, MS, or Ph.D. programs.

We are accepting posters containing already published research. Please declare this and provide your motivation and the value for the community in presenting published research in a poster format. Posters containing already published research will not be eligible for the Best Poster Awards.

 

| Submission Timeline

1st Round Submission: 30 November 2026 

1st Round Notification of Acceptance: 14 December 2026 

2nd Round Submission: 15 January 2027 

2nd Round Notification of Acceptance: 31 January 2027

Poster PDF Submission: 7 February 2027 

Conference: 1-4 March 2027

| SCA2027 Technical Programme

The SCA2027 Technical Programme consists of six tracks. The Topics of interest include, but are not limited to:

APPLICATIONS & ALGORITHMS
  • High performance applications (high speed, low memory, low power simulations)
  • Computational science
  • Numerical linear algebra and its applications
  • High performance library and software framework for applications
  • Parallel and vectorization algorithms
  • Hybrid/heterogeneous/accelerated algorithms
  • Fault-tolerant algorithms
  • Graph algorithms
  • Processor architecture advancements
  • Accelerator technologies (GPUs, FPGAs, ASICs)
  • Network architecture and interconnects
  • Memory hierarchy and management
  • Energy-efficient processor and accelerator design
  • Dependable and fault-tolerant architectures
  • Emerging processor and network technologies
  • Integration of new technologies in processor and network design
  • Quantum Computing
  • Neuromorphic computing
  • Post von-Neumann and Post Moore architectures
  • Future trends on emerging technologies
  • Hardware specialization and special-purpose computing
  • Stochastic computing and approximate computing
  • Application of new memory technologies
  • Programming models and runtimes for emerging architectures
  • Machine learning algorithms and applications
  • Deep learning techniques and frameworks
  • AI integration in HPC
  • AI ethics and bias
  • AI-driven data analytics
  • Real-world AI applications in various industries
  • Future trends in AI
  • Programming languages and compilation techniques
  • Tools and libraries for performance and productivity
  • Performance portability
  • System management, resource management and scheduler
  • Optimization for communication and memory
  • Techniques for testing, debugging, reproducibility and determinism
  • Techniques for fault tolerance and energy efficiency
  • Big data processing and analytics
  • Distributed and parallel file systems
  • Storage architectures and systems
  • Data visualization techniques
  • Data provenance and traceability
  • High-performance I/O and storage optimization
  • Visualization and image processing in HP

| Poster Presentation Format

The poster presentation is fully in-person. All accepted poster authors must attend on-site and present at the poster session.

Best Poster and Best Student Poster Awards are planned. The latter is open to first authors of accepted posters who are students enrolled in BS, MS, or Ph.D. programs.

The poster award committee will comprehensively evaluate the submitted poster, poster blitz, and discussion during the poster session.

| Online Submission System

Authors are invited to submit one-page extended abstracts (including references) of their posters. We welcome any posters on interesting topics you want to discuss at SCA 2027. Submissions should be made through the Online Submission System and select the “Poster” track.

Extended abstracts should be formatted using the double-column ACM template for conference proceedings.

  • LaTeX users: Use the acmart class file with the Omit the abstract, CCS concepts and keywords sections in the original template. You can find the template here: here (Please refer to samples/sigconf.tex) or use it directly on Overleaf.
  • Word users: Use the “Interim Template”. Omit the abstract, CCS concepts and keywords sections in the original template. You can find the template here.

It is recommended to include the following areas in the abstract:

  • Background/Objectives:A brief introduction to the topic, outlining the problem or research question the poster addresses.
  • Methods:A succinct description of the methodology or approach used in the research
  • Results:Key findings or results of the study, presented in a clear and summarized manner.
  • Conclusions:Interpretation of the results, including their implications or significance in the context of the field.

| Poster Display Information

For the poster sessions, the following dimensions apply:

Display Board Size: 90 cm in width and 190 cm in height

Poster Size: A0 (84.1 cm in width and 118.9 cm in height)

Please ensure that your poster is printed in the correct size to fit the provided display board.

| Poster PDF Availability

Poster PDFs will be made available on the conference website for authors who choose to make their posters public. Abstracts will not be published. Information regarding the option to publish your poster PDF will be provided to accepted authors at a later date.

| Poster Committee Members

More details on the Technical Program Committee will be shared at a later date. 

| Contact

Please contact the Posters Chairs at [email protected] for any questions/clarifications about Call for Poster (CFP).

For queries on posters – please indicate “< POSTERS>” at the start of your Subject heading of your email.

Submit now
APPLICATIONS & ALGORITHMS
  • High performance applications (high speed, low memory, low power simulations)
  • Computational science
  • Numerical linear algebra and its applications
  • High performance library and software framework for applications
  • Parallel and vectorization algorithms
  • Hybrid/heterogeneous/accelerated algorithms
  • Fault-tolerant algorithms
  • Graph algorithms
  • Processor architecture advancements
  • Accelerator technologies (GPUs, FPGAs, ASICs)
  • Network architecture and interconnects
  • Memory hierarchy and management
  • Energy-efficient processor and accelerator design
  • Dependable and fault-tolerant architectures
  • Emerging processor and network technologies
  • Integration of new technologies in processor and network design
  • Quantum Computing
  • Neuromorphic computing
  • Post von-Neumann and Post Moore architectures
  • Future trends on emerging technologies
  • Hardware specialization and special-purpose computing
  • Stochastic computing and approximate computing
  • Application of new memory technologies
  • Programming models and runtimes for emerging architectures
  • Machine learning algorithms and applications
  • Deep learning techniques and frameworks
  • AI integration in HPC
  • AI ethics and bias
  • AI-driven data analytics
  • Real-world AI applications in various industries
  • Future trends in AI
  • Programming languages and compilation techniques
  • Tools and libraries for performance and productivity
  • Performance portability
  • System management, resource management and scheduler
  • Optimization for communication and memory
  • Techniques for testing, debugging, reproducibility and determinism
  • Techniques for fault tolerance and energy efficiency
  • Big data processing and analytics
  • Distributed and parallel file systems
  • Storage architectures and systems
  • Data visualization techniques
  • Data provenance and traceability
  • High-performance I/O and storage optimization
  • Visualization and image processing in HP
APPLICATIONS & ALGORITHMS
  • High performance applications (high speed, low memory, low power simulations)
  • Computational science
  • Numerical linear algebra and its applications
  • High performance library and software framework for applications
  • Parallel and vectorization algorithms
  • Hybrid/heterogeneous/accelerated algorithms
  • Fault-tolerant algorithms
  • Graph algorithms
  • Processor architecture advancements
  • Accelerator technologies (GPUs, FPGAs, ASICs)
  • Network architecture and interconnects
  • Memory hierarchy and management
  • Energy-efficient processor and accelerator design
  • Dependable and fault-tolerant architectures
  • Emerging processor and network technologies
  • Integration of new technologies in processor and network design
  • Quantum Computing
  • Neuromorphic computing
  • Post von-Neumann and Post Moore architectures
  • Future trends on emerging technologies
  • Hardware specialization and special-purpose computing
  • Stochastic computing and approximate computing
  • Application of new memory technologies
  • Programming models and runtimes for emerging architectures
  • Machine learning algorithms and applications
  • Deep learning techniques and frameworks
  • AI integration in HPC
  • AI ethics and bias
  • AI-driven data analytics
  • Real-world AI applications in various industries
  • Future trends in AI
  • Programming languages and compilation techniques
  • Tools and libraries for performance and productivity
  • Performance portability
  • System management, resource management and scheduler
  • Optimization for communication and memory
  • Techniques for testing, debugging, reproducibility and determinism
  • Techniques for fault tolerance and energy efficiency
  • Big data processing and analytics
  • Distributed and parallel file systems
  • Storage architectures and systems
  • Data visualization techniques
  • Data provenance and traceability
  • High-performance I/O and storage optimization
  • Visualization and image processing in HP