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Cells in the Cloud: Scaling a Biological Simulator to the Cloud

Hello, fellow developers! I am Konstantinos, and I currently work at CERN as a research intern for this summer.

Authored by Konstantinos Kanellis Last updated on 12/12/2018 - 18:00
Blog post

Cells in the Cloud: Thoughts on the Distributed Architecture

Hello, everyone!

Authored by Konstantinos Kanellis Last updated on 12/12/2018 - 18:00
Blog post

Cells in the Cloud: Distributed Runtime Prototype Implementation

Hello, everyone!

Authored by Konstantinos Kanellis Last updated on 12/12/2018 - 18:00
File Wrapper

Parallel Universe Magazine - Issue 29, July 2017

Authored by admin Last updated on 03/25/2019 - 09:48
File Wrapper

Parallel Universe Magazine - Issue 30, October 2017

Authored by admin Last updated on 03/21/2019 - 12:00
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Authored by Nathan Greeneltch (Intel) Last updated on 04/01/2019 - 13:01
Article

Using the Intel® MPI Library in Google Cloud Platform*

In this article, we describe the process on how to download and install the Intel® MPI library in Google Cloud Platform* (GCP).

Authored by Fabio B. (Intel) Last updated on 04/03/2019 - 06:39
Blog post

Top Ten Intel® Software Developer Stories | April

April showers bring you Python* code samples, a recap of GDC, machine learning in retail and an update to Intel® Threading Building Blocks. Read on!
Authored by Carman, Vicky (Intel) Last updated on 06/21/2019 - 15:53
Blog post

Scope Oriented Programming

There is a long discussion talking about the advantages of Procedural Programming vs. the advantages of Object Oriented Programming.

Authored by Last updated on 06/23/2019 - 19:00
Blog post

PGO: Let It Go (PHP)

We can hope that companies like Intel® will come along with a faster processor. (And this does tend to happen every year). Or we can improve our compilers to produce better machine code. Or we can analyze our own code and change it to run more optimally. For PHP, we do all three: We partner with the processor architects to improve the way they execute PHP; we look for changes we can make to the...
Authored by David S. (Blackbelt) Last updated on 07/03/2019 - 20:08