Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"AI accelerators"”.
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Performance and Energy Efficiency Insights in LLM Inference Across Hardware Accelerators
… While GPUs continue to dominate, domain-specific accelerators like TPUs and dataflow architectures are becoming increasingly compelling alternatives. In this thesis, we provide a comprehensive empirical performance study of six datacenter-grade GPUs from Nvidia, AMD, and Intel, along …
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From TPU to QPU: Bridging Fidelity Gaps Across Next-Generation Computing Systems
… computational capabilities across diverse domains. Among these powerful architectures are AI accelerators such as Tensor Processing Units (TPUs) and quantum computing systems utilizing Quantum Processing Units (QPUs) stand out as trans-formative technologies. Despite their potential, these …
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Geometrically Programmed Nano-Resistors for Ultra-Robust Artificial Neural Network Accelerator
… advance in artificial intelligence (AI), the AI processing hardware have not matched the speed and power-efficiency requirement, restricting the realization of the full potential of AI and requiring innovation in AI hardware. Data transmission bottleneck between memory and processor …
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Towards efficient and reliable infrastructure for machine learning
… but at immense computational cost. Training and serving these models requires tens of thousands of specialized accelerators that consume megawatts of power and costs hundreds of millions of dollars. The efficiency of the underlying compute infrastructure is, therefore, critical for …
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Next-generation safety-critical systems using COTS based homogeneous multi-core processors and heterogeneous MPSoCS
… CPU clusters, GPU, programmable logic (PL), and AI accelerators into a single multiprocessor system-on-chip (MPSoC). One of the common attributes of these high-performance multicore processors and MPSoCs is having a shared memory subsystem. Having shared memory for multicore processors suits well …