Simon Knowles, graphcore.ai
Host: Jeyan Thiyagalingam, Scientific Machine Learning, SCD
Thursday 1st April 2021 at 14:00-15:00
This seminar will take place via Zoom webinar, see joining instructions below.
The architecture of Graphcore's evolved "Colossus" IPU and its value in real applications
High-performance computing is changing rapidly in response to multiple forces. The first is the break-out of intelligence (AI) as a workload of great commercial value which can productively harness enormous computation. The second is the end of silicon scaling or the beginning of the era of power-limited computing. These two invoke a third the need for meta-programming environments which can capture learning processes and express massive heterogeneous parallelism. The Intelligence Processing Unit (IPU) is an architectural outline which responds to these forces a reinvention of accelerated computing from the ground up. This talk will describe and justify the architecture of Graphcore's evolved "Colossus" IPU and illustrate its value in real applications.
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Description: High-performance computing is changing rapidly in response to multiple forces. The first is the break-out of intelligence (AI) as a workload of great commercial value which can productively harness enormous computation. The second is the end of silicon scaling or the beginning of the era of power-limited computing. These two invoke a third the need for meta-programming environments which can capture learning processes and express massive heterogeneous parallelism. The Intelligence Processing Unit (IPU) is an architectural outline which responds to these forces a reinvention of accelerated computing from the ground up. This talk will describe and justify the architecture of Graphcore's evolved "Colossus" IPU and illustrate its value in real applications.
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