英伟达Senior Manager, Deep Learning Performance Architecture
社招全职地点:上海 | 北京状态:招聘
工作描述
任职要求 • Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience) • A software engineer with 10+ years of overall experience with at least 6+ of those years with hands on management • Strong software design fundamentals and a deep understanding of deep learning optimization. • Knowledge of software engineering principles Ways to stand out from the crowd: • Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience • Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design. • Previous work o…
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包括英文材料
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
OpenCL+
https://developer.nvidia.com/opencl
OpenCL™ (Open Computing Language) is a low-level API for heterogeneous computing that runs on CUDA-powered GPUs.
https://engineering.purdue.edu/~smidkiff/ece563/NVidiaGPUTeachingToolkit/Mod20OpenCL/3rd-Edition-AppendixA-intro-to-OpenCL.pdf
we will give a brief overview of OpenCL for CUDA programers.
[英文] Hands On OpenCL
https://handsonopencl.github.io/
An open source two-day lecture course for teaching and learning OpenCL
https://leonardoaraujosantos.gitbook.io/opencl/chapter1
Open Computing Language is a framework for writing programs that execute across heterogeneous platforms.
https://ulhpc-tutorials.readthedocs.io/en/latest/gpu/opencl/
OpenCL came as a standard for heterogeneous programming that enables a code to run in different platforms.
https://www.youtube.com/watch?v=4q9fPOI-x80
This presentation will show how to make use of the GPU from Java using OpenCL.
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