InfoQ

Java Concurrency from the Trenches: Lessons Learned in the Wild

Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...
Microsoft

Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.
IEEE

Residual U-Structure Nested Conditional Adversarial Nets Colorized CT Improves Deep Learning Based Abdominal Multi-Organ Segmentation

Abstract: Segmentation of abdominal organs such as the liver, pancreas, spleen, and kidneys plays an essential role in diagnosing and treating abdominal diseases. Although numerous deeply learned ...