Filtros

Article

Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
Autor Gennady F. (Blackbelt) Última actualización 23/06/2019 - 18:50
Article

开源 - OpenStack

OpenStack
Autor Última actualización 13/07/2018 - 14:32
Mensajes en el blog

Experimenting with OpenStack* Sahara* on Docker* Containers

Docker* is an emerging technology that has become very popular recently in the market. It provides a flexible architecture to deploy applications. OpenStack* is another hot technology on the market. It has been available for several years, became more stable and also added more features support in recent releases.
Autor WEITING C. (Intel) Última actualización 06/07/2019 - 17:10
Article

Analyzing Intel® SDE's TSX-related log data for capacity aborts

Starting with version 7.12.0, Intel® SDE has Intel® TSX-related instruction and memory access logging features which can be useful for debugging Intel® TSX's capacity aborts.

Autor Última actualización 06/07/2019 - 10:52
Mensajes en el blog

Using Multiple Backends in Openstack Swift

OpenStack Swift is a highly available, distributed, eventually consistent object/blob store. Object Storage is ideal for cost effective, scale-out storage.

Autor Yuan Zhou (Intel) Última actualización 13/02/2019 - 13:08
Mensajes en el blog

Dynamic Languages Take Over the Internet

The server world has really embraced Python in a big way. For example, the OpenStack project is a very popular Infrastructure as a Service offering, and most of it is written in Python. This makes Python a leader for Software Defined Infrastructure (SDI), Software Defined Storage (SDS) and Software Defined Networking (SDN).
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 19:43
Mensajes en el blog

Exposing Processor Features to Dynamic Languages

Intel® for its part invests countless hours and billions of transistors to add features in our silicon products which will speed up people's lives. If only they knew how to take advantage of it! Part of our job in dynamic languages is what I call "putting the cookies on the bottom shelf". Make this advanced technology easily consumable, and show you the value of it so you can be sure to use it.
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 19:43
Mensajes en el blog

The 0-Day Challenge: What is the Pulse of the Internet?

The core components of the Internet get updated constantly. Every time the source changes, the health and performance can change. A single source code change can fail to build, can break compatibility with existing code and can change the performance anywhere from a fraction of a percent up to 10% or more on major customer workloads. We're trying to read the pulse of our core components (Python,...
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 19:42
Mensajes en el blog

The Core Software Strategy - 9 Years Old and Still True!

I can safely predict that if you are a developer, you are looking for ways to get your job done faster. Get working code quicker, find bugs faster, take advantage of new technologies and get working performance as smoothly as possible. This is why the saying "steal with pride" comes up --it's a well-worn technique to borrow or adopt code where you can. (Of course, I'm not saying you would commit...
Autor David S. (Blackbelt) Última actualización 23/06/2019 - 19:10
Mensajes en el blog

Core Challenge In Speeding Up Python, PHP, HHVM, Node.js...

A traditional compiler translates a high-level computer program into machine code for the CPU you want to run it on. An interpreted language translates a high-level language into the machine code for some imaginary CPU. For historical reasons, this imaginary CPU is called a "virtual machine" and its instructions are called "byte code." One advantage of this approach is development speed: creating...
Autor David S. (Blackbelt) Última actualización 04/07/2019 - 20:00