Technical scope
Evolutions in classic computer architecture
- Core microarchitecture including prediction, prefetching, ILP and MLP
- Manycore and multicore architecture, cache hierarchy optimisation and coherency
- Heterogeneous CPU architectures
- Memory systems architecture including PIM and disaggregated memory
- Address translation for large memory applications
- Large-scale computing systems
Software, runtime, compiler and codesign tools
- Hardware/software co-design
- Compile-time and dynamic analysis
- Performance modelling and simulation
- Correctness: verification, model-checking, test generation
Application or Domain-specific computer architectures
- GPU architectures
- AI architecture: on-device training and inference
- AI accelerator interconnects
Novel computing technologies
- Non-von Neumann architecture: 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.