Reference Summary: XLA compilation on GPU can greatly boost the performance of your models (~1.2x-35x performance improvements recorded). And how does parallel computing on the GPU enable developers to unlock the full potential of AI?

Tensorflow Optimizations On Modern Intel Architectures -

XLA compilation on GPU can greatly boost the performance of your models (~1.2x-35x performance improvements recorded). And how does parallel computing on the GPU enable developers to unlock the full potential of AI? About the Session: In this installment of the ALCF Many-Core Developer Sessions, AG Ramesh of

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  • XLA compilation on GPU can greatly boost the performance of your models (~1.2x-35x performance improvements recorded).
  • And how does parallel computing on the GPU enable developers to unlock the full potential of AI?
  • About the Session: In this installment of the ALCF Many-Core Developer Sessions, AG Ramesh of

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Optimize Deep Learning workloads using Intel® Optimization for TensorFlow*
Niroop: accelerate running Google's TensorFlow* deep learning models on Intel® CPU's
Webinar: Introduction to TensorFlow with Intel Optimizations
MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms
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TensorFlow Optimizations on Modern Intel Architectures

TensorFlow Optimizations on Modern Intel Architectures

Read more details and related context about TensorFlow Optimizations on Modern Intel Architectures.

TensorFlow on Modern Intel(R) Architectures

TensorFlow on Modern Intel(R) Architectures

About the Session: In this installment of the ALCF Many-Core Developer Sessions, AG Ramesh of

Performance Optimization of Deep Learning Frameworks on Modern Intel Architectures

Performance Optimization of Deep Learning Frameworks on Modern Intel Architectures

Read more details and related context about Performance Optimization of Deep Learning Frameworks on Modern Intel Architectures.

TensorFlow in 100 Seconds

TensorFlow in 100 Seconds

Read more details and related context about TensorFlow in 100 Seconds.

How to make TensorFlow models run faster on GPUs

How to make TensorFlow models run faster on GPUs

XLA compilation on GPU can greatly boost the performance of your models (~1.2x-35x performance improvements recorded).

Optimize Deep Learning workloads using Intel® Optimization for TensorFlow*

Optimize Deep Learning workloads using Intel® Optimization for TensorFlow*

Read more details and related context about Optimize Deep Learning workloads using Intel® Optimization for TensorFlow*.

Niroop: accelerate running Google's TensorFlow* deep learning models on Intel® CPU's

Niroop: accelerate running Google's TensorFlow* deep learning models on Intel® CPU's

Read more details and related context about Niroop: accelerate running Google's TensorFlow* deep learning models on Intel® CPU's.

Webinar: Introduction to TensorFlow with Intel Optimizations

Webinar: Introduction to TensorFlow with Intel Optimizations

Read more details and related context about Webinar: Introduction to TensorFlow with Intel Optimizations.

MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms

MIC 2018 - Tensorflow optimizations and performance tuning for Intel platforms

Bio: Ellick Chan is the Head of University Relations and Research at

Nvidia CUDA in 100 Seconds

Nvidia CUDA in 100 Seconds

What is CUDA? And how does parallel computing on the GPU enable developers to unlock the full potential of AI? Learn the ...