Parallel Universe Magazine - Issue 17, March 2014

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  • Letter from the Editor, by James Reinders
    Performance Master Class
  • Turbocharging Open Source Python, R, and Julia-based HPC Applications, by Vipin Kumar E K
    With a few simple steps, Python, R, and Julia can be built and installed with Intel® Math Kernel Library (Intel® MKL) support using Intel® compilers for out-of-the-box performance improvements.
  • Multithreading and Task Analysis with Intel® VTune™ Amplifer XE 2013, by Vladimir Tsymbal
    Save significant time and effort spent designing and supporting parallel algorithms, such as pipeline, by improving parallelism through thread management.
  • Speed Threading Performance: Enabling Intel® TSX using Intel® C++ Compiler, by Anoop Madhusoodhanan Prabha
    Intel® Transactional Synchronization Extensions (Intel® TSX) can be used to exploit the inherent concurrency of a program by allowing concurrent execution of a critical section.
  • Tachyon Ray Tracer: Porting on the Intel® Xeon Phi™ Coprocessor, by Roman Lygin and Dmitry Durnov
    Learn how to port Tachyon—an open source ray tracer and part of the Spec MPI* suite—to the Intel® Xeon Phi™ coprocessor or Intel® Xeon® processor.
  • Building Native Android* Apps With Intel® C++ Compiler, by Anoop Madhusoodhanan Prabha
    What can the Intel® C++ Compiler do for your Android* applications? Take a quick look at key features and benefits.