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Showing result 1 - 5 of 22 essays matching the above criteria.
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1. Efficient Memory Encryption for Neural Network Accelerators
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The widespread integration of machine learning (ML) in edge and mobile devices, particularly in critical contexts like autonomous vehicles, highlights the need for robust security. However, ensuring data confidentiality and preserving inference integrity is costly due to the mismatch between traditional security methods and ML demands. READ MORE
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2. FPGA implementation of an undistortion model with high parameter flexibility and DRAM-free operation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computer Vision (CV) has become omnipresent in our everyday life and it’s starting to see more and more use in the industry. This movement creates a demand for ever more performant systems to keep up with the increasing demands in manufacturing speed and autonomous behaviours. READ MORE
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3. Exploring the column elimination optimization in LIF-STDP networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. READ MORE
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4. Exploring Simple Core Organizations for Near-Data Processing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The limitations of DRAM technology in terms of energy consumption and Bandwidth poses a serious problem to the design of faster processing units. Conventional CPUs have increased their computational abilities faster than the available bandwidth to memory. READ MORE
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5. Effective Task Scheduling of In-Memory Databases on a Sub-NUMA Processor Topology
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Query throughput of in-memory databases greatly depends on how fast data can be accessed in DRAM. With a growing number of cores on processors, the expectation that all attached DRAM on a processor is equally accessible by every core is harder to meet. READ MORE