Technical scope
Evolutions in general-purpose computer architecture
- Core microarchitecture including prediction, prefetching, ILP and MLP.
- Memory systems architecture including coherency, PIM and disaggregated memory.
- Rack-scale and large-scale computing systems.
- General-purpose accelerators including GPUs and CGRAs.
Software, runtime, compiler and codesign tools
- Hardware/software co-design.
- Compile-time and dynamic analysis.
- Performance modelling and simulation.
- Verification, model-checking and test generation.
Systems for AI
- AI/ML accelerators, CPU and GPU extensions, and system-level support.
- AI/ML systems at scale including interconnects.
AI for Systems
- Using AI/ML for computer architecture development, prototyping, compilation, optimisation and verification.
Novel computing technologies
- Non-von Neumann architectures, optical computing, quantum computing and neuromorphic computing
We are broadly interested in general improvements to architecture and systems in any of the above areas, whether in performance, security, integrity, energy-efficiency, fault tolerance and reliability, quality of service, or other areas.