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Baidu’s Parallel Evoformer and Branch Parallelism Strategy Accelerates AlphaFold2 Training by 38.67%
Nov. 4, 2022, 3:18 a.m. | Synced
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In the new paper Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism, a Baidu research team presents a Parallel Evoformer and Branch Parallelism approach for efficient AlphaFold2 training. The novel strategy improves AlphaFold2 training speed by up to 38.67 percent without sacrificing performance.
The post Baidu’s Parallel Evoformer and Branch Parallelism Strategy Accelerates AlphaFold2 Training by 38.67% first appeared on Synced.
ai alphafold artificial intelligence baidu deep-neural-networks machine learning machine learning & data science ml protein structure prediction research strategy technology training
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