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We are excited to have you join us in August at the 2017 RMACC HPC Symposium.

Please note: This schedule is subject to change prior to the event. 
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Thursday, August 17 • 8:30am - 4:30pm
KNL Training- All Day Training (UPDATED LOCATION)

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To Register please use the following link:
https://colfaxresearch.com/rmacc2017/
Passcode: BLDR17CC

  • Sneak Peak: What will be covered today (30 min)
  • Programming and Optimization by Example (2.5 hours)
    • Demonstration of a case study: direct N-body simulation
    • Intel processor architectures
    • Task and data parallelism
    • Memory organization
    • Programming coprocessors and clusters
  • Optimization Pointers (1.5 hour)
    • Scalar tuning and using Intel compilers
    • Automatic vectorization
    • Multi-threading with OpenMP
    • Optimizing cache usage and memory access
    • Communication control
    • Preparing for Intel Xeon Phi processors (30 min)
      • Compiling with AVX-512
      • Using high-bandwidth memory
      • Leveraging clustering modes
      • Coprocessor form-factor and KNL-F
    • Intel Libraries (20 min)
      • Intel Math Kernel Library (MKL): numerical methods
      • Intel Data Analytics Acceleration Library (DAAL): machine learning
  • Intel Distribution for Python (20 min)
    • Brief intro to Intel Python (where to get it, installation, etc.)
    • Discussing numpy, scipy and link with Intel MKL
    • How to get the most out of numpy and scipy
  • Intel-Optimized Deep Learning Frameworks (20 min)
    • Deep learning frameworks in data analytics
    • How to obtain Intel-optimized frameworks
    • Deep neural networks on Intel Architecture in action


Thursday August 17, 2017 8:30am - 4:30pm
Bartlett Center- 2nd Floor

Attendees (2)