JUNE 18–22, 2017
FRANKFURT AM MAIN, GERMANY

Yida Wang

Intel
 

Yida Wang is a research scientist in the Parallel Computing Lab at Intel Labs. He received his Ph.D. in computer science and neuroscience from Princeton University. His research interest is in parallel computing and big data analytics. Yida currently works on applying cutting-edge computing techniques to analyze large-scale data, as well as optimizing various algorithms/frameworks on Intel architectures.

 
Speaker at: Research Paper Session 06 - Applications III
Wednesday, June 21, 2017, 08:30 am - 10:00 am
  Incremental SVM on Intel Xeon Phi Processors
Wednesday, June 21, 2017, 08:30 am - 09:00 am