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 6 of 6 for “"pipeline scheduling"”.
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Throughput Constrained and Area Optimized Dataflow Synthesis for FPGAs
… challenging synthesis requirement. The first is pipeline scheduling, which generates a pipelined schedule that meets the throughput requirement. The second is module selection, which decides the most appropriate circuit module for each operation. The third is resource sharing, which reuses a …
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Resource and data optimization for hardware implementation of deep neural networks targeting FPGA-based edge devices
… The key idea explored in this thesis is backward pipeline scheduling which optimizes the pipeline between CNN layers. This optimization technique is especially useful to utilize the limited on-chip memory resource for classifying an image on an edge device. We have achieved latency of 175.7 μs for …
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ACCELERATING DNN INFERENCE AND TRAINING IN DISTRIBUTED SYSTEMS
… We propose to jointly consider the partition and scheduling of multiple DNNs. Our objective is to reduce the makespan that contains both communication and computation latencies. In our DNN offloading pipeline, communication operations work in parallel with computation operations. Towards reducing …
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Programación del transporte de hidrocarburos por oleoductos mediante la combinación de técnicas metaheurísticas y simulación
… oil derivatives to faraway destinations, pipeline transportation is the one which yields smaller variable costs along with a great degree of reliability, especially if ships are not a feasible alternative. The main particularity of pipeline transportation arises from the way its contents …
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Transient execution vulnerabilities in the security context of server hardware
… as dynamic multiple issue, dynamic pipeline scheduling, out-of-order execution, and register renaming---while avoiding the risk of speculative execution. Such processors do not perform as well as equivalent speculative processors, but the results of this work indicate that they can …
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Accelerating deep learning training : a storage perspective
… ways, moving the training bottleneck to the data pipeline (fetching, pre-processing data, and writing checkpoints), rather than computation at the GPUs; this leaves the expensive accelerator devices stalled for data. While prior research has explored different ways of accelerating DNN training …