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What Neurobiology Can Teach Us About Hardware – Conversation in the Cloud – Episode 221
저장한 시리즈 ("피드 비활성화" status)
When? This feed was archived on September 08, 2022 20:29 (). Last successful fetch was on August 08, 2022 23:26 ()
Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 284456308 series 1144237
In this Intel Conversations in the Cloud audio podcast: Nir Shavit, co-founder of Neural Magic, joins host Jake Smith to talk about enabling convolutional neural networks to run on commodity CPUs. Nir speaks to how his background as a professor researching the connectivity maps of brain tissue and tracking neurons evolved into developing machine learning algorithms that run on multicore processors instead of GPUs. The two discuss the relationship between performance and CPU cache and memory, compression techniques like model pruning and quantization, and the future of sparsification. Nir also expands on the similarities and differences between the human brain and modern processors and why software optimization could be more important than specialized hardware.
Follow Neural Magic on Twitter at:
twitter.com/neuralmagic
Follow Jake on Twitter at:
twitter.com/jakesmithintel
104 에피소드
저장한 시리즈 ("피드 비활성화" status)
When? This feed was archived on September 08, 2022 20:29 (). Last successful fetch was on August 08, 2022 23:26 ()
Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 284456308 series 1144237
In this Intel Conversations in the Cloud audio podcast: Nir Shavit, co-founder of Neural Magic, joins host Jake Smith to talk about enabling convolutional neural networks to run on commodity CPUs. Nir speaks to how his background as a professor researching the connectivity maps of brain tissue and tracking neurons evolved into developing machine learning algorithms that run on multicore processors instead of GPUs. The two discuss the relationship between performance and CPU cache and memory, compression techniques like model pruning and quantization, and the future of sparsification. Nir also expands on the similarities and differences between the human brain and modern processors and why software optimization could be more important than specialized hardware.
Follow Neural Magic on Twitter at:
twitter.com/neuralmagic
Follow Jake on Twitter at:
twitter.com/jakesmithintel
104 에피소드
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