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 9 of 9 for “"memory wall"”.
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Exploration of Beyond von Neumann Computing to solve the Memory-Wall issue
L'abstract è presente nell'allegato / the abstract is in the attachment
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Improving the performance of parallel scientific applications using cache injection
… is dependent on: the ratio of processor speed to memory speed, the cache injection policy, and the application's communication characteristics. Cache injection addresses the memory wall for I/O by writing data into a processor's cache directly from the I/O bus. This technique, unlike data …
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A Full System Co-Simulation Platform for Evaluating Edge Machine Learning Inference Using Compute-in-Memory
… machine learning (ML) inference using compute-in-memory (CIM). CIM architectures aim to reduce data movement overhead by performing matrix operations in memory, but end-to-end benefits depend on system-level integration costs that are difficult to assess with isolated hardware models alone. To …
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Integrated Sensing and Computing Architectures Enabling Smart Vision Sensors
… the critical challenge of the "power and memory wall" in intelligent Internet of Things vision systems. Conventional architectures, which transmit raw data from sensors to cloud processors, are inefficient and create significant bottlenecks in power, latency, and bandwidth. This research …
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Characterization of FPGA-based High Performance Computers
… of CPU cores per processor exacerbate the memory wall, hybrid core computing, utilizing CPUs augmented with FPGAs and/or GPUs holds the promise of addressing high-performance computing demands, particularly with respect to performance, power and productivity. While traditional approaches to …
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Protonic All-Solid-State Electrochemical Device as an Artificial Synapse for CMOS-Compatible Neuromorphic Computing
… and data storage units results in ‘memory wall bottleneck’, leading to high energy consumption.[2] In contrast, a human brain is energy efficient because it fuses computing and storage functionalities at the same place. Inspired by the human brain, neuromorphic computing using …
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Lab-to-Fab Monolithic 3D Integrated Carbon Nanotube Transistors: Scaling and Reliability
… moving data between compute and off-chip memory, which are often physically separate with limited connectivity. This is termed the “memory wall”. A promising solution to this problem is monolithic 3D integration, in which layers of compute and memory are designed and integrated together …
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Domain-specific accelerators using optically-addressed phase change memory
… and energy efficiency, largely due to the memory wall problem and the limitations of complementary metal-oxide-semiconductor (CMOS) technology scaling. As a result, electronic devices are increasingly unable to meet the growing computational demands, necessitating the exploration of …
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Infrastructure to enable and exploit GPU orchestrated high-throughput storage access
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms