ArticleBrain informatics2019
How Amdahl's Law limits the performance of large artificial neural networks : why the functionality of full-scale brain simulation on processor-based simulators is limited.
Article in Brain informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Breaking the bottleneck in AI clusters with parallel photonic integration.Nature communications · 2026Article
- Parallel perception of visual motion using light-tunable memory matrix.Science advances · 2023Article
- On the Role of Speed in Technological and Biological Information Transfer for Computations.Acta biotheoretica · 2022Article
- Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array.Nature nanotechnology · 2021Article
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Authors and funding
1 author.
Funding
Abstract
With both knowing more and more details about how neurons and complex neural networks work and having serious demand for making performable huge artificial networks, more and more efforts are devoted to build both hardware and/or software simulators and supercomputers targeting artificial intelligence applications, demanding an exponentially increasing amount of computing capacity. However, the inherently parallel operation of the neural networks is mostly simulated deploying inherently sequential (or in the best case: sequential-parallel) computing elements. The paper shows that neural network simulators, (both software and hardware ones), akin to all other sequential-parallel computing systems, have computing performance limitation due to deploying clock-driven electronic circuits, the 70-year old computing paradigm and Amdahl's Law about parallelized computing systems. The findings explain the limitations/saturation experienced in former studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.