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Deep Neural Network extensions for Intel MKL

    Deep neural network (DNN) applications grow in importance in various areas including internet search engines, retail and medical imaging. Intel recognizes importance of these workloads and is developing software solutions to accelerate these applications on Intel Architecture that will become available in future versions of Intel® Math Kernel Library (Intel® MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL).

While we are working on new functionality we published a series of articles demonstrating DNN optimizations with Caffe framework and AlexNet topology:

Intel TBB 4.4 U2 is out!

I'm glad to announce that Intel TBB 4.4 U2 is out! 

Intel TBB 4.4 Update 2

TBB_INTERFACE_VERSION == 9002

Changes (w.r.t. Intel TBB 4.4 Update 1):

- Improved interoperability with Intel(R) OpenMP RTL (libiomp) on Linux:
    OpenMP affinity settings do not affect the default number of threads
    used in the task scheduler. Intel(R) C++ Compiler 16.0 Update 1
    or later is required.
- Added a new flow graph example with different implementations of the
    Cholesky Factorization algorithm.

Preview Features:

Calling Python Developers - High performance Python powered by Intel MKL is here!

We are introducing a Technical Preview of Intel® Distribution of Python*, with packages such as NumPy* and SciPy* accelerated using Intel MKL. Python developers can now enjoy much improved performance of many mathematical and linear algebra functions, with up to ~100x speedup in some cases, comparing to the vanilla Python distributions. The technical preview is available for everybody at no cost and includes early access to profiling support in VTune Amplifier.

Calling Python Developers - High performance Python powered by Intel MKL is here!

We are introducing a Technical Preview of Intel® Distribution of Python*, with packages such as NumPy* and SciPy* accelerated using Intel MKL. Python developers can now enjoy much improved performance of many mathematical and linear algebra functions, with up to ~100x speedup in some cases, comparing to the vanilla Python distributions. The technical preview is available for everybody at no cost. Click here to register and download.

New Intel Cilk Plus runtime sources and SDK is now available

New Intel Cilk Plus runtime sources and SDK were just released and are available for download now.

  • Intel Cilk Plus runtime sources build 4420 contains minor scheduler improvements and community-contributed Raspberry Pi* port
  • Intel Cilk Plus SDK build 4421 contains support for the latest Linux*, Windows*, and Mac OS X* operating systems

More information can be found at https://www.cilkplus.org/download.

2016 Update 1 and higher driver installation on Windows* 7 and Windows Server 2008 R2

You may receive the warning message "Windows requires a digitally signed driver" during installation on Windows* 7 and Windows* Server 2008 R2 systems.  

1.5 days of “Intel HPC Developers Conference” just before SC15 (in Austin)…November 14-15

1.5 days of “Intel HPC Developers Conference” just before SC15 (in Austin)…

*WE MUST LIMIT ATTENDEES TO THE SPACE AVAILABLE**   Register now!

http://hpcdevcon.intel.com   <<< everything you need to know about the conference including how to register!

Intel® Software Development Emulator release 7.30

On September 20th 2015, we released version 7.30 of the Intel® Software Development Emulator. It is available here: http://www.intel.com/software/sde

See the release notes for a full list of changes. The changes in this release are:

Intel C++ Compiler 16.0 is now available in Intel Parallel Studio XE 2016

The new version Intel C++ Compiler 16.0 is now available in Intel Parallel Studio XE 2016 that has launched early this week. If your support license is current you can download and install this at no additional charge from the Intel Registration Center

You will find some blog postings about some new features and new free tools.

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