Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete problem, a ...

And the most confusing phenomenon is that _PIPELINE_MODEL_PARALLEL_GROUP has been initialized in the code of initialize_model_parallel in megatron\mpu\initialize.py.

DeepSeek’s R1 model, a “reasoning” model along the lines of o3-mini, reveals its full thought process, which many AI researchers argue is the preferred approach.

Researchers developed MassiveFold, an enhanced AlphaFold version optimized for parallel processing, which accelerates protein structure predictions from months to hours while increasing structural ...

Flow’s groundbreaking new architecture, referred to as a Parallel Processing Unit (PPU), boosts the CPU performance up to 100-fold through PPU integrated on-die through a license from Flow.