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Michael Gschwind

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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Alma mater
Technische Universität Wien
Born
Vienna, Austria

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Overview

Accelerators

AI acceleration

Supercomputer design

Many-core processor design

System reliability

Compiler technologies

SIMD Parallel vector architecture

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Michael Gschwind

Nodes67
Edges66
Triples11
Avg. degree1.97
Density0.029851
Components1

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Michael Gschwind

Top relations

Alma mater · 1
Michael Gschwind → Technische Universität Wien
Born · 1
Michael Gschwind → Vienna, Austria

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Important terminology

gschwind led accelerators design first ibm ai architecture system power contributions supercomputer architect chief acceleration processor vector nvidia hardware software

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Michael GschwindAlma materTechnische Universität Wien1.00infobox
Michael GschwindBornVienna, Austria1.00infobox
Facebook Assistantinstance ofand for numerous user surfaces0.80text
and FB Marketplace starting in 2020instance ofand for numerous user surfaces0.80text
HuggingFace to drive industry-wide LLM Acceleration to establish PyTorch 2.0 as the standard ecosystem for Large Language Modelsinstance ofand partnered with companies0.80text
Generative AI.Gschwind subsequently led expanding LLM acceleration to on-device AI models with ExecuTorchinstance ofand partnered with companies0.80text
the PyTorch ecosystem solution for on-device AIinstance ofand partnered with companies0.80text
making on-device generative AI feasible for the first timeinstance ofand partnered with companies0.80text
software pipelining at JIT translation timeinstance ofhigh-performance computing optimization0.80text
hardware/software co-design for binary emulationinstance ofhigh-performance computing optimization0.80text
dynamic optimizationinstance ofhigh-performance computing optimization0.80text

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