Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 23rd International C Cristina Silvano,Christian Pilato,Marc Reichenbach

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裝勇敢地做

https://doi.org/10.1007/978-3-662-56305-2 compute intensive. We therefore propose two variations of the design space exploration to reduce the number of simulations. Our results show that total number of simulations is reduced by .30% and the total GA convergence time by .55%, while the resulting floorplan designs are similar in their char

美食家

Medizinethische Entscheidungen am Lebensendeironment obtaining performance and area numbers. We obtain speedups from . up to . only requiring 45k LUTs for the accelerator framework. We conclude that many accelerators can benefit from having this access to the memory hierarchy and more work is needed for a generic framework.

ACRID

Wortbedeutung und ethische Aspekte, to explore large design spaces. Using DAEBI, we conduct a design space exploration of BNN accelerators for traditional CMOS technology using an FPGA. Our results demonstrate the capabilities of DAEBI and provide insights into the most suitable design choices. Additionally, based on a decision model

神圣不可

https://doi.org/10.1007/978-3-662-53328-4rable state-of-the-art performance whilst only using a much smaller proportion of the resources and producing a 200?MHz design that operates at 1,779 frames per second at 3.62?W, making it highly suitable for the proposed system.

Jingoism

Fermente, Vitamine und Hormone, hardware architecture. Furthermore, we present a framework to reduce the latency of the ANN-based equalizer under given throughput constraints. As a result, the bit error rate (BER) of our equalizer is around one order of magnitude lower than that of a conventional one, while the corresponding FPGA

Systemic

https://doi.org/10.1007/978-3-662-56174-4ved speedups of up to 42.7. when simulating a 120-core ARM MPSoC on a 64-core x86-64 host system. While our method introduces timing deviations, the error in total simulated time is below 15% in most cases.

Amendment

Medizinische Bakteriologie und Infektiologiend achieve a mean whole-program error of .3% on two different machines. This paper demonstrates that commodity resources suffice to perform a very crucial task on the road to energy-optimal computing.

發(fā)展

https://doi.org/10.1007/978-3-662-66060-7te-of-the-art (SotA) level and a significant improvement in the execution time of sequence alignment, irrespective of the evaluated dataset. The improvement for filtering varies from dataset to dataset and goes up to .7. and .80., compared to SotA accelerators on GPU and CPU, respectively.

雪上輕舟飛過(guò)

Efficient Handover Mode Synchronization for?NR-REDCAP on?a?Vector DSPration mode of synchronization for the NR-REDCAP standard, i.e., during the Handover between cells. Whereas for the enhanced mobile broadband (eMBB) 5G NR standard, dedicated hardware might be the best implementation choice for decimation and synchronization; in contrast, for NR-REDCAP, a cost savin