Reviews & Case Studies

See how companies around the world are using this suite to successfully optimize their applications' multicore performance. For more case studies using individual libraries and analysis tools, see the Developer Success Stories.

Case Studies

CAD Exchanger Resolves the Challenges of Format Conversion

Parallelism provides this software with dramatic gains in performance and user satisfaction, plus a competitive advantage.

Daresbury Laboratory Speeds Computational Chemistry Software

Scientists speed up their computational chemistry algorithm using a vectorization analysis tool in Intel® Advisor.

Profiles for Success

F5 Networks* amps up its BIG-IP* DNS solution with help from Intel® Parallel Studio XE and Intel® VTune™ Profiler.

Optimize Image Processing

JD.com speeds image processing up to 17 times with Intel® C++ Compiler and Intel® Integrated Performance Primitives (Intel® IPP).

Prepare for a Manycore Future

Johns Hopkins University increases the performance of its open source Bowtie 2 application by adding multicore parallelism.

Speed Up a Big Data Platform

MeritData Inc. improves performance and the potential for big data algorithms and visualization.

Rocket the Development of Hypersonic Vehicles

Moscow Institute of Physics and Technology creates faster and more accurate computational fluid dynamics software with help from the Intel® MPI Library.

Optimize Application Performance with Roofline Analysis

The National Energy Research Scientific Computing Center (NERSC) boosts performance of its scientific applications on Intel® Xeon Phi™ processors up to 35 percent using Intel® Advisor.

Efficient Numerical Simulation

Novosibirsk State University gets three times the performance from its simulation tool with Intel Parallel Studio XE, Intel Advisor, and Intel® Trace Analyzer and Collector.

Speed Enterprise-Grade Videoconferencing

Analysis tools from Intel more than doubles video encoding performance for videoconferencing at Pexip.

Optimize Speech Recognition

Qihoo360 optimizes the speech recognition module in the Euler platform using the Intel® Math Kernel Library (Intel® MKL), providing five times the performance.

Streamline Development for a Real-Time Analytics Database

To deliver first-class performance for its distributed, transactional database, Quasardb uses Intel® Threading Building Blocks (Intel® TBB), a C++ threading library, for creating high-performance, scalable parallel applications.

Optimize an Illegal Image Filtering System

Tencent doubles the speed of its illegal image filtering system using a Single Instruction Multiple Data (SIMD) set and Intel IPP.

Speed MD5 Image Identification

Intel worked with Tencent engineers to optimize how the company daily processes millions of images, using Intel IPP to achieve twice the performance.

Accelerate Rational Drug Design

Using Intel TBB, the University of Bristol slashed calculation time for drug development, which enabled a calculation that once took 25 days to finish in just one day.

Boost High-Performance Computing Education and Research

Developer tools from Intel and online courseware enrich the high-performance computing curriculum at Ural Federal University

Product and Performance Information

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Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804