Richard C.

Richard C. Email and Phone Number

Deep Learning Architect @ NVIDIA
Santa Clara, CA, US
Richard C.'s Location
Santa Clara, California, United States, United States
Richard C.'s Contact Details

Richard C. work email

Richard C. personal email

n/a
About Richard C.

Developing fast GPU kernels for deep learning applications at NVIDIA

Richard C.'s Current Company Details
NVIDIA

Nvidia

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Deep Learning Architect
Santa Clara, CA, US
Website:
nvidia.com
Employees:
41500
Richard C. Work Experience Details
  • Nvidia
    Deep Learning Architect
    Nvidia
    Santa Clara, Ca, Us
  • Nvidia
    Senior Deep Learning Architect
    Nvidia Jul 2020 - Present
    Santa Clara, Ca, Us
    Developing fast CUDA kernels for deep learning applications
  • Nvidia
    Deep Learning Performance Software Engineering Intern
    Nvidia Jun 2019 - Aug 2019
    Santa Clara, Ca, Us
    Developing high performance convolution GPU kernels in CUDA C++ for optimized inference on NVIDIA’s Turing architecture. Achieved 2x runtime performance over existing implementations● Reviewing existing implementations in order to reuse/extend optimizations● Designing highly parallel SIMT programs for optimized memory/compute usage
  • Rain Neuromorphics
    Deep Learning Research Software Engineering Intern
    Rain Neuromorphics Jul 2018 - Aug 2018
    San Francisco, California, Us
    Developing pytorch libraries for deep learning microchip architecture simulations● Performing training and hyperparameter relevance determination in order to evaluatemicrochip performance against standard deep learning architectures.● Developing and documenting custom packages for easy simulation of novel algorithms
  • Shanghai Jiao Tong University
    Cuda Research Intern
    Shanghai Jiao Tong University Jun 2018 - Jun 2018
    上海, Shanghai, Cn
    Extending the NVIDIA Deep Wavenet implementation for practical, faster-than-real-time audiowaveform inference● Conducting performance analysis, optimization, and documentation for future extensibility● Implementing a CUDA/Pytorch interface for application-usable real-time inference
  • Undergraduate Lab @ Berkeley
    Research Organizer
    Undergraduate Lab @ Berkeley Jun 2017 - Dec 2017
    Berkeley, Ca, Us
    Overseeing the logistics of the Computer & Data Sciences Lab for Undergraduate Lab (ULAB), astudent organization introducing undergraduates to research● Coordinating essential tasks and communications in order to ensure the reliable operation ofULAB research teams, including arranging weekly progress reports.● Developing workshops and schedules that teach ULAB members essential research skillsincluding reading scientific literature and performing literature reviews.● Coordinating the hiring and oversight of mentors for ULAB project teams.
  • Unc Charlotte College Of Computing And Informatics
    Research Assistant
    Unc Charlotte College Of Computing And Informatics Jun 2014 - Aug 2015
    Charlotte, Us
    Research on the gene mechanisms of roundworm (C. elegans) egg development, providing insight for developmental biology in general.Conducted primary data collection by culturing and dissecting worms and sequencing genes via PCR methods. Reviewed published literature on egg development in C. elegans for summary purposes. Drafted manuscript introduction for future submission for publication.

Richard C. Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Computer Science
  • Charlotte Latin School
    Charlotte Latin School
    High School

Frequently Asked Questions about Richard C.

What company does Richard C. work for?

Richard C. works for Nvidia

What is Richard C.'s role at the current company?

Richard C.'s current role is Deep Learning Architect.

What is Richard C.'s email address?

Richard C.'s email address is cr****@****dia.com

What schools did Richard C. attend?

Richard C. attended University Of California, Berkeley, Charlotte Latin School.

Who are Richard C.'s colleagues?

Richard C.'s colleagues are Fedor Novikov, Takahashi Kazunori, Kiran K., Shubham Agrawal, Michael Garrett, Vinayak Bhargav Srinath, Shay Aharon.

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