This PhD project at the University of Southampton, supervised by Dr Philippos Papaphilippou and Prof Steve Gunn, focuses on advancing instruction-level parallelism (ILP) in manycore processors. As CPUs with hundreds of cores become increasingly prevalent in applications ranging from embedded AI devices to large-scale servers, the need for efficient hardware prediction algorithms is critical. While current mechanisms such as data prefetchers and cache replacement policies have significantly improved single-thread performance, there remain substantial research gaps in optimizing ILP for manycore architectures.

The project aims to develop novel prediction algorithms specifically tailored for manycore processors, addressing the theoretical limits and practical design attributes that maximize performance. Manycores offer high energy efficiency and programmability for parallel workloads, making them ideal for demanding applications in artificial intelligence and beyond. However, the rapid increase in computing capacity has outpaced advancements in main memory technology, necessitating innovative approaches to fully utilize available memory bandwidth and minimize latency.

Through analytical modeling and hardware algorithm development, the research will establish new foundations for ILP in future manycore systems. The outcomes are expected to benefit highly-demanding workloads, ensuring that processors can execute more instructions per cycle and achieve optimal performance.

Applicants should have a UK 2:1 honours degree or its international equivalent in computer science, computer engineering, electronic engineering, or a closely related field, with a strong emphasis on system and computer architecture. The School of Electronics and Computer Science is committed to equality, diversity, and inclusivity, welcoming applicants from all backgrounds and offering flexible working patterns and generous support policies.

Funding opportunities include Horizon Europe fee waivers for qualifying students, competition-based Presidential Bursaries, and studentships covering UK-level tuition fees and living stipends. Funding is awarded on a rolling basis, so early application is encouraged.

To apply, select the PhD Computer Science (7089) programme for 2026/27, Faculty of Engineering and Physical Sciences, and include the supervisor's name in your application. Required documents are a research proposal, CV, two academic references, degree transcripts and certificates, and proof of English language proficiency if applicable. For general queries, contact [email protected], or reach out to Dr Philippos Papaphilippou at [email protected] for project-specific questions.

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