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Part I: The Paradigm of Edge Machine Learning The deployment of artificial intelligence has historically been synonymous with vast, powerful cloud data centers. This centralized model, where data is collected Read More …
Executive Summary The proliferation of massive datasets has necessitated a paradigm shift in data architecture, moving away from monolithic systems toward flexible, scalable, and reliable distributed platforms. This report provides 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 …
Abstract This report provides a comprehensive mathematical treatment of diffusion-based generative models. We begin by deriving the foundational principles of Denoising Diffusion Probabilistic Models (DDPMs), detailing the forward and reverse Read More …
Executive Summary The relentless advancement of artificial intelligence (AI) and high-performance computing (HPC) has precipitated a critical inflection point in semiconductor architecture. The computational prowess of modern Graphics Processing Units Read More …
Section 1: The Inevitable End of the FinFET Scaling Roadmap The FinFET architecture represented a monumental leap in semiconductor technology, enabling the industry to overcome the fundamental scaling barriers of Read More …
The Imperative for Specialization: From General-Purpose GPUs to AI-Centric Accelerators The trajectory of modern artificial intelligence (AI) is inextricably linked to the evolution of the hardware that powers it. For Read More …
I. Introduction to the Post-Silicon Era and the Rise of 2D Materials Defining Two-Dimensional Materials: Beyond the Monolayer The field of materials science has been revolutionized by the advent of Read More …
Executive Summary The capacity of Large Language Models (LLMs) to process and reason over extensive sequences of information—a capability defined by their “context window”—has become a pivotal frontier in artificial Read More …