TensorFlow and oneDNN in Partnership
KEYNOTE
TensorFlow and oneDNN in Partnership
Rapid growth in AI and machine learning innovations and workloads necessitates constant developments in both software and hardware infrastructure. TensorFlow, Google’s end-to-end open-source machine learning framework, and oneDNN have been collaborating closely to ensure users can fully utilize new hardware features and accelerators, with a focus on x86 architectures. This talk will cover recent projects such as int8 (AVX512_VNNI) and bfloat16 (AVX512_BF16) vectorization support, bringing custom oneDNN operations to vanilla TensorFlow, and the upcoming Intel XPU device plug-in for TensorFlow.
Speaker(s)
Penporn Koanantakool
Penporn Koanantakool is a senior software engineer at Google. She leads TensorFlow’s performance optimization collaboration with Intel. Penporn holds a Ph.D. in computer science from the University of California, Berkeley, and a B.Eng. in computer engineering from Kasetsart University, Thailand.
