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Michael Karl Gschwind is an American computer scientist at Nvidia in Santa Clara, California. He is recognized for his seminal contributions to the design and exploitation of general-purpose programmable accelerators, as an early advocate of sustainability in computer design and as a prolific inventor.
Measurement, Supercomputer design & Many-core processor design
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gschwind led accelerators design first ibm ai architecture system power contributions supercomputer architect chief acceleration processor vector nvidia hardware software
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Michael Gschwind | Alma mater | Technische Universität Wien | 1.00 | infobox |
| Michael Gschwind | Born | Vienna, Austria | 1.00 | infobox |
| Facebook Assistant | instance of | and for numerous user surfaces | 0.80 | text |
| and FB Marketplace starting in 2020 | instance of | and for numerous user surfaces | 0.80 | text |
| HuggingFace to drive industry-wide LLM Acceleration to establish PyTorch 2.0 as the standard ecosystem for Large Language Models | instance of | and partnered with companies | 0.80 | text |
| Generative AI.Gschwind subsequently led expanding LLM acceleration to on-device AI models with ExecuTorch | instance of | and partnered with companies | 0.80 | text |
| the PyTorch ecosystem solution for on-device AI | instance of | and partnered with companies | 0.80 | text |
| making on-device generative AI feasible for the first time | instance of | and partnered with companies | 0.80 | text |
| software pipelining at JIT translation time | instance of | high-performance computing optimization | 0.80 | text |
| hardware/software co-design for binary emulation | instance of | high-performance computing optimization | 0.80 | text |
| dynamic optimization | instance of | high-performance computing optimization | 0.80 | text |
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