Browsing FAS Theses and Dissertations by Author "Brooks, David"
Now showing items 1-6 of 6
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Architecting High Performance Silicon Systems for Accurate and Efficient On-Chip Deep Learning
Tambe, Thierry (2023-05-12)The unabated pursuit of omniscient and omnipotent AI is levying hefty latency, memory, and energy taxes at all computing scales. At the same time, the twilight of Dennard scaling means traditional performance gains are no ... -
Device, Circuit, and Algorithm Co-Design for Efficient Neural Network Inference in Hardware
Ma, Siming (2023-11-21)Artificial neural networks (ANN) using machine learning algorithms have achieved amazing performance in many artificial intelligent tasks. However, the hardware implementations of these ANNs are faced with two major ... -
Early-Stage Non-Conventional Hardware Accelerator Discovery via Optimization Methods and Compiler Analysis
Brumar, Iulian (2024-01-26)In the post-Moore era, where we witness the diminishing returns of traditional transistor scaling, a pivotal transition in accelerator design methodologies has been necessitated to continually enhance power, performance, ... -
Efficiency in warehouse-scale computers: a datacenter tax study
Kanev, Svilen (2017-01-25)Computation has been steadily migrating from isolated on-premise deployments to the datacenters of a small number of large-scale cloud providers. The datacenters powering the cloud, also known as warehouse-scale computers ... -
Enabling Emerging, Heterogeneous Memory Systems
Pentecost, Lillian (2022-05-10)Optimizing data storage and data movement remain critical roadblocks to overall computing performance and efficiency. These barriers are due to a convergence of motivating factors that begins with the memory wall and ... -
Enabling High Performance, Efficient, and Sustainable Deep Learning Systems At Scale
Gupta, Udit (2022-09-15)The world has witnessed an exponential rise in AI, particularly deep learning-based engines, over the last decade. These deep learning-based AI engines form the backbone of the modern Internet, determining how we interact ...