Architecture 2.0 Workshop

About the Workshop

The Architecture 2.0 workshop brings together researchers and practitioners exploring the intersection of artificial intelligence and computer systems. As AI continues to transform how we design, optimize, and evaluate computing systems, this workshop provides a venue for presenting cutting-edge research and fostering collaboration across the hardware stack.

The workshop focuses on AI for Systems Design, spanning computer architecture, programming languages, and operating systems. We aim to bring together researchers and practitioners applying AI techniques to systems challenges, providing a platform for work-in-progress and completed research that advances the state of the art or opens new directions for AI-driven systems research.

The workshop consists of two separate components: a Competition for students to create architecture and systems questions for evaluating and developing AI systems agents and a Call for Papers for research submissions. Both are part of the same workshop event.

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Date

Monday, March 23, 2026

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Location

ASPLOS 2026 · Pittsburgh, PA

QuArch Architecture & Systems Competition

This competition is sponsored by

We invite students to participate in the QuArch Architecture & Systems Competition, which focuses on creating high-quality questions that evaluate reasoning in the core displines of ASPLOS: computer architecture, programming languages, compilers, and operating systems. The goal of this competition is to assess and advance the ability of AI systems to reason about real-world systems concepts that span computer architecture, programming languages, compilers, and operating systems.

🏆 About the Competition

Objective:

Participants will submit original questions designed to probe understanding, analysis, and reasoning in computer architecture and related systems domains. Questions may target conceptual knowledge, design trade-offs, performance analysis, or optimization challenges.

All questions should be suitable for evaluating an AI system’s architectural reasoning capabilities and should challenge and evaluate such capabilities.

Evaluation:

A committee will review submissions and select winners based on:

Quality & difficulty
Creativity & relevance
Depth & quantity

Tip: We encourage questions that reflect realistic architectural scenarios, modern hardware platforms, and emerging systems challenges.

Both exploratory and polished submissions are welcome. No prior competition experience is required!

🏆 Awards

Winners will be recognized with a total of $2,000, with the potential for additional physical prizes.

📚 Resources

For more information and submission details, visit the QuArch website or read the QuArch paper.

Additional links and references are collected in the Resources section below.

📅 Timeline

Submission Deadline: March 7, 2026 (AoE)
Winners Announcement: March 23, 2026 (at the workshop)

Submit Questions

Call for Papers: AI for Systems Design

We invite submissions that explore the use of artificial intelligence to design, analyze, optimize, or evaluate computer systems. The workshop aims to bring together researchers and practitioners applying AI techniques to systems challenges across the hardware stack.

We welcome both work-in-progress and completed research that advances the state of the art or opens new directions for AI-driven systems research.

Note: The workshop will not have formal proceedings, and authors are free to publish extended versions of their work in other conferences and journals.

Submission Type

We welcome works of three different formats to the workshop:

Early/Work-in-Progress Research (4 Pages)
Extended Abstract of Completed Research (2 Pages, with pointer to full-length paper)
Position/Opinion Papers (2 Pages)

Topics of Interest

Submissions should focus on AI for Systems, spanning computer architecture, programming languages, and operating systems, including but not limited to the following areas:

Computer Architecture

AI-driven microarchitecture design, tuning, and exploration
Learning-based design space exploration and architectural trade-off analysis
Processor, accelerator, and heterogeneous system design
GPU, TPU, and accelerator architectures and kernel optimization
Memory systems, cache hierarchies, interconnects, and storage optimization using AI
Learning-based performance, power, energy, and reliability modeling
Surrogate models to accelerate architectural simulation and evaluation
AI methods for identifying architectural bottlenecks and inefficiencies

Programming Languages and Compilers

AI-assisted compiler optimization and code generation
Learning-based cost models for compiler and runtime decisions
Automatic kernel transformation, scheduling, and tuning
Program analysis and optimization using machine learning
Cross-layer optimization between compilers, runtimes, and hardware
Domain-specific languages (DSLs) and abstractions enabled by AI

Operating Systems and Runtime Systems

AI-driven scheduling, resource management, and system optimization
Learning-based memory management, caching, and I/O policies
Intelligent runtime systems for heterogeneous and accelerator-rich platforms
Performance modeling and prediction for OS and runtime decisions
AI for system monitoring, diagnosis, and anomaly detection
Co-design of OS policies with hardware and compiler support

We also welcome contributions on datasets, benchmarks, and open-source infrastructure that enable or evaluate AI-driven approaches across the architecture–language–OS stack.

Awards

The workshop will recognize outstanding contributions with Best Paper Awards, announced during the workshop. We encourage submissions that are exploratory, forward-looking, or challenge conventional approaches, and we especially welcome early ideas that can benefit from community feedback.

Reviewing Details

Submission and Platform: All submissions will be handled through the OpenReview platform. The review process will be single-blind; therefore, submissions should include author names and affiliations and should not be anonymized.

Decisions: All accept/reject decisions will be made exclusively by the human members of the organizing committee. Submissions will be evaluated for relevance to the workshop theme, technical novelty, and clarity of presentation.

AI-Assisted Feedback: In alignment with the workshop's focus on leveraging AI, the organizing committee will pilot ArchScholar, an AI-based review assistant that is custom-built on Archipedia: a corpus of computer architecture and systems literature spanning 50 years. This tool will be used to generate preliminary written feedback and reviews, which will be publicly posted on OpenReview. Importantly, the AI-assisted tool is used solely to support the review process and to provide individualized written feedback to authors; it does not determine final decisions. We welcome feedback from the community and hope to encourage thoughtful, constructive discussion around the use of AI-assisted reviewing as part of the workshop.

Submission Details

Deadline: February 12, 2026 (AoE)

Author Notification: February 17, 2026

Paper length:

Early/Work-in-Progress Research: 4 pages
Extended Abstract of Completed Research: 2 pages (with pointer to full-length paper)
Position/Opinion Papers: 2 pages

(Page counts exclude references and appendix)

Format: Standard ASPLOS 2026 Latex Template

Submit Paper