Sergiu Mosani's PhD dissertation titled, "PiMulator: A Processing-in-Memory Emulation Platform," was successfully defended on April 25, 2023. Abstract: Motivated by the memory wall problem, researchers propose numerous Processing-in-Memory (PiM) architectures to bring computation closer to data. Evaluating the performance of these emerging architectures is challenging due to the lack of tools that accurately mimic both software and hardware aspects. This thesis introduces PiMulator, an open-source platform for system-level PiM emulation, suitable for rapid prototyping and evaluation of PiM architectures. At its core, PiMulator incorporates MEMulator, a main-memory emulation model implemented in System Verilog, enabling users to generate any desired memory configuration on the FPGA fabric with complete control over the PiM logic units. Furthermore, we develop and implement the FreezeTime mechanism, effectively extending the emulated memory capacity by synchronizing the limited FPGA chip memory resources with the board's DDR4 and HBM2 resources. This approach offers flexibility in modeling memory and logic behavior without compromising emulated time accuracy. The platform integrates the Memory+PiM model into the LiteX framework, ensuring compatibility with a robust FPGA and RISC-V ecosystem. This enables architects to prototype, emulate, and evaluate various PiM architectures and designs at the system level. PiMulator facilitates high-speed and high-fidelity modeling and evaluation of emerging memory and PiM architectures with workloads of interest, utilizing soft cores synthesizable on FPGA boards. The thesis demonstrates strategies to model several pioneering PiM architectures and provides detailed benchmark performance results, showcasing the platform's ability to facilitate design space exploration.