A Performance Analysis Framework for Exploiting GPU Microarchitectural Capability
Presented our ICS'17 work.
Deep Learning on Modern Architectures
Discussed how state-of-the-art deep learning libraries optimize computations by utilizing architectural features.
Understanding the GPU microarchitecture to achieve bare-metal performance tuning
Introduced various kinds of convolution methods and analyzed their complexities, memory consumptions, and data access patterns.