Pro Tip: Linking OpenGL for Server-Side Rendering

Pro Tip, In-situ, OpenGL, Server-side, Visualization

Nadeem Mohammad, posted Aug 16 2017

Visualization is a great tool for understanding large amounts of data, but transferring the data from an HPC system or from the cloud to a local workstation for analysis can be a painful experience.

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Scaling Keras Model Training to Multiple GPUs

Features, Deep Learning, Keras, MxNet

Nadeem Mohammad, posted Aug 16 2017

Keras is a powerful deep learning meta-framework which sits on top of existing frameworks such as TensorFlow and Theano. Keras is highly productive for developers; it often requires 50% less code to define a model than native APIs of deep learning

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Deep Learning Hyperparameter Optimization with Competing Objectives

Features, Deep Learning

Nadeem Mohammad, posted Aug 03 2017

In this post we’ll show how to use SigOpt’s Bayesian optimization platform to jointly optimize competing objectives in deep learning pipelines on NVIDIA GPUs more than ten times faster than traditional approaches like random search.

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Building Cross-Platform CUDA Applications with CMake

Features, CMake, Compilation, CUDA

Nadeem Mohammad, posted Aug 01 2017

Cross-platform software development poses a number of challenges to your application’s build process. How do you target multiple platforms without maintaining multiple platform-specific build scripts, projects, or makefiles?

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JetPack 3.1 Doubles Jetson’s Low-Latency Inference Performance

Features, Autonomous Machines, Deep Learning, Embedded, Inference, Jetpack, Jetson, Robotics, TensorRT

Nadeem Mohammad, posted Jul 21 2017

Today, NVIDIA released JetPack 3.1, the production Linux software release for Jetson TX1 and TX2.

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