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              <text>This project builds upon the work of Henderson and Hobson (2013), which demonstrated the counterintuitive result that risk-averse agents,&#13;
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                <text>Two lines of Arabidopsis thaliana are studied in Dr Breeze’s lab. One is GFP-HDEL which is a control line of Arabidopsis, whilst the other is GFP-CXN a genetically modified line that overexpresses a domain of chaperone protein called calnexin in its endoplasmic reticulum (ER). This causes GFP-CXN to have a highly interconnected network of flattened, membrane-enclosed sacs in its ER known as cisternae. The cisternae have a crucial role in the modification of proteins.&#13;
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              <text>Recent work has shown that FPGA accelerators can achieve high performance and energy efficiency for stencil-based solvers using automatic code generation and High-Level Synthesis (HLS). The OPS (Oxford Parallel library for Structured mesh solvers) DSL demonstrates this by analysing iterative stencil loops and generating deeply pipelined FPGA designs with domain-specific optimisations. The current OPS FPGA backend implements these optimisations through a custom code-generation pipeline, but embeds compiler logic directly within the code generator rather than using an explicit intermediate representation. Multi-Level Intermediate Representation (MLIR) provides a more structured approach, allowing programs to be represented and progressively lowered between abstraction levels while making the compiler more maintainable and extensible. This research aims to investigate MLIR-based lowering strategies for OPS stencil applications targeting FPGAs, exploring existing infrastructure and how it could be extended to support a broader range of applications.</text>
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