Dana Vantrease, Ph.D. Email & Phone Number
@amazon.com
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Who is Dana Vantrease, Ph.D.? Overview
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Dana Vantrease, Ph.D. is listed as AI CoDesign @ MatX | ex-Annapurna Labs at MatX, based in Austin, Texas, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Dana Vantrease, Ph.D..
Dana Vantrease, Ph.D. previously worked as Architect at Matx and Technical Lead - Annapurna Labs at Amazon Web Services. Dana Vantrease, Ph.D. holds Bachelors, Science Computer Science Engineering from The Ohio State University.
Email format at MatX
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About Dana Vantrease, Ph.D.
Dana Vantrease, Ph.D. is a AI CoDesign @ MatX | ex-Annapurna Labs at MatX. They possess expertise in computer architecture, performance benchmarking, machine learning, software engineering, debugging and 5 more skills.
Listed skills include Computer Architecture, Performance Benchmarking, Machine Learning, Software Engineering, and 6 others.
Dana Vantrease, Ph.D.'s current company
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Dana Vantrease, Ph.D. work experience
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Technical Lead - Annapurna Labs
Responsible for Trainium's (TRN1's) programmability strategy.Led full-stack integration of programmable cores into the TRN1, including requirement scoping, architecture, and software.Shipped PyTorch Custom Operator feature for TRN1's General-Purpose SIMD (GPSIMD) engine, allowing customers to program the TRN1 using the Torch C++ api. Featured in AWS re-invent keynote:
Technical Lead/Manager - Annapurna Labs
Founding engineer on AWS' first custom ML silicon server chip project, Inferentia (INF1).Developed SOC model from scratch for the INF1 and TRN1 SOC. The cycle-approximate pre-silicon model aided software development, power, and verification/validation teams.Inventions in computer architecture, quantization, compiler scheduling, and DV test generation (11 US patents)
Visiting Lecturer
Co-Instructor for Spring 2021 ELE-475/575 (senior/grad-level Computer Architecture) with Dr. Lisa Hsu of Microsoft. Incorporated industrial material and insights into the lectures.
Performance Architect
Owned the cache-subsystems of the Hexagon DSP cycle-accurate model, including: I$/D$/L2$/TCM, cache coherence, prefetchers, compression engines, and AXI controller. Performed architectural exploration, RTL performance correlation, and workload analysis across 3 DSP generations.
Researcher
A member of the Corona chip R&D team, led by Norm Jouppi, that designed a 3D many-core chip with a silicon-photonic interconnect. Invented optical token arbitration.The published work (Vantrease et al) is a a top-50 cited ISCA paper and recognized in the ISCA-50 retrospective series ( https://www.sigarch.org/what-are-the-most-cited-isca-papers/ https://sites.coecis.cornell.edu/isca50retrospective/ )
Dana Vantrease, Ph.D. education
Bachelors, Science Computer Science Engineering
Ph.D, Computer Sciences
Frequently asked questions about Dana Vantrease, Ph.D.
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What company does Dana Vantrease, Ph.D. work for?
Dana Vantrease, Ph.D. works for MatX.
What is Dana Vantrease, Ph.D.'s role at MatX?
Dana Vantrease, Ph.D. is listed as AI CoDesign @ MatX | ex-Annapurna Labs at MatX.
What is Dana Vantrease, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @amazon.com for Dana Vantrease, Ph.D. at MatX.
Where is Dana Vantrease, Ph.D. based?
Dana Vantrease, Ph.D. is based in Austin, Texas, United States while working with MatX.
What companies has Dana Vantrease, Ph.D. worked for?
Dana Vantrease, Ph.D. has worked for Matx, Amazon Web Services, Princeton University, Qualcomm, and Hewlett-Packard Laboratories.
How can I contact Dana Vantrease, Ph.D.?
You can use AeroLeads to view verified contact signals for Dana Vantrease, Ph.D. at MatX, including work email, phone, and LinkedIn data when available.
What schools did Dana Vantrease, Ph.D. attend?
Dana Vantrease, Ph.D. holds Bachelors, Science Computer Science Engineering from The Ohio State University.
What skills is Dana Vantrease, Ph.D. known for?
Dana Vantrease, Ph.D. is listed with skills including Computer Architecture, Performance Benchmarking, Machine Learning, Software Engineering, Debugging, Modeling, C, and C++.
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