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1. Introduction: The Paradigm Shift to Heterogeneous Computing The execution of a “Hello World” program in the context of NVIDIA’s Compute Unified Device Architecture (CUDA) represents far more than a Read More …
1. Introduction: The Evolution of General-Purpose GPU Computing The trajectory of high-performance computing (HPC) was fundamentally altered with the introduction of the Compute Unified Device Architecture (CUDA) by NVIDIA in Read More …
Executive Summary The computational landscape of high-performance computing (HPC) and artificial intelligence (AI) has undergone a tectonic shift, driven by the bifurcating trajectories of arithmetic throughput and memory bandwidth. As Read More …
Introduction: The Dichotomy of Modern AI Acceleration The field of artificial intelligence is defined by a fundamental conflict: an insatiable, exponentially growing demand for computational power clashing with the physical 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 …
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 …
The Computational Challenge of Simulating Light The pursuit of photorealism in computer graphics has been a decades-long endeavor, marked by a fundamental tension between visual fidelity and real-time performance. For Read More …