Source: thenewstack.io
Intel Unveils Next Generation Neuromorphic Computing ChipCategory: Software, Architecture, artificial-intelligence
Intel is bolstering its neuromorphic computing ambitions with the second iteration of its Loihi processor and an open framework that the company hopes will accelerate the development of software for the emerging space. However, just as important is the launch of the Lava software framework to drive the development of applications and fuel the growth of a community around neuromorphic computing.
Intel is among a broad array of chip makers big and small that are developing silicon for neuromorphic computing.
The Intel 4 process enabled Loihi 2 to have 128 cores, each with about the same amount of memory as the previous generation, but on a die that is 1.9 times smaller.
We’ve taken all the lessons learned from these past three and a half years of software and application development and we tried to architect the system that we think can support the full broad range of algorithms and applications and software approaches that the community that’s using Loihi — and now Loihi 2 — are trying to support and trying to explore providing a common denominator framework that is built on a foundation of event-based asynchronous message passing, which is ultimately the model that applies to these spiking neurons, as well as to the more conventionally coded processes that exist in conventional ingredients in the overall system architecture,” he said.
Intel is among a broad array of chip makers big and small that are developing silicon for neuromorphic computing.
The Intel 4 process enabled Loihi 2 to have 128 cores, each with about the same amount of memory as the previous generation, but on a die that is 1.9 times smaller.
We’ve taken all the lessons learned from these past three and a half years of software and application development and we tried to architect the system that we think can support the full broad range of algorithms and applications and software approaches that the community that’s using Loihi — and now Loihi 2 — are trying to support and trying to explore providing a common denominator framework that is built on a foundation of event-based asynchronous message passing, which is ultimately the model that applies to these spiking neurons, as well as to the more conventionally coded processes that exist in conventional ingredients in the overall system architecture,” he said.
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