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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.

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