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Executive Summary The exponential growth in the size of deep learning models has precipitated a significant challenge in high-performance computing: the “memory wall.” Traditional distributed training methods, particularly Distributed Data Read More …
The Paradigm of Data Parallelism in Deep Learning Data parallelism is a foundational strategy in Data-Parallel computing that has become the most prevalent method for accelerating the training of deep Read More …
Executive Summary Gradient accumulation is a pivotal technique in modern deep learning, designed to enable the training of models with large effective batch sizes on hardware constrained by limited memory.1 Read More …
I. Foundational Principles of Model Parallelism 1.1. The Imperative for Scaling: The Memory Wall The field of deep learning is characterized by a relentless pursuit of scale. State-of-the-art models, particularly Read More …
Introduction: The Imperative for Parallelism in Modern Deep Learning The landscape of artificial intelligence is defined by a relentless pursuit of scale. The performance and capabilities of deep learning models Read More …
The Anatomy of LLM Inference and Its Intrinsic Bottlenecks The deployment of Large Language Models (LLM) in production environments has shifted the focus of the machine learning community from training-centric Read More …
Introduction: The Shifting Landscape of Sequence Modeling The field of sequence modeling was fundamentally reshaped in 2017 with the introduction of the Transformer architecture. Its core innovation, the self-attention mechanism, Read More …
Section 1: Deconstructing the Modern Radiology Workflow: The Human-Centric Baseline To fully comprehend the transformative potential of Artificial Intelligence (AI) in radiology, one must first deconstruct the intricate, human-centric workflow Read More …
1. Introduction: The Genesis and Evolution of Automated Architecture Design 1.1. From Manual Artistry to Algorithmic Discovery: The Motivation for NAS The rapid advancements in deep learning over the past Read More …
Executive Summary The artificial intelligence industry is undergoing a strategic and fundamental pivot. After a period dominated by the pursuit of scale—a “bigger is better” philosophy that produced massive Large Read More …