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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 …
Executive Summary The effective management of memory in heterogeneous computing environments—encompassing Central Processing Units (CPUs) and accelerators such as Graphics Processing Units (GPUs)—represents one of the most critical challenges in Read More …
1. Introduction: The Imperative of On-Chip Memory in Massively Parallel Architectures The trajectory of high-performance computing (HPC) over the last two decades has been defined by a fundamental divergence: the Read More …
1. Introduction: The Launch Latency Barrier in High-Performance Computing The trajectory of High-Performance Computing (HPC) and Artificial Intelligence (AI) hardware has been defined by a relentless increase in parallelism. As Read More …
1. Introduction: The Paradigm Shift from Symmetric Multiprocessing to Distributed Acceleration The trajectory of high-performance computing (HPC) and artificial intelligence (AI) has been defined by a relentless pursuit of computational Read More …
1. Introduction: The Memory Wall in Massively Parallel Computing In the domain of High-Performance Computing (HPC) and deep learning, the performance of Massively Parallel Processing (MPP) systems is governed less Read More …
1. Introduction: The Evolution of Throughput-Oriented Computing The trajectory of modern high-performance computing (HPC) has been defined by a fundamental divergence in processor architecture: the split between latency-oriented central processing 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 …
1. The Paradigm of Heterogeneous Concurrency The transition from traditional Central Processing Unit (CPU) programming to the heterogeneous domain of General-Purpose Computing on Graphics Processing Units (GPGPU) necessitates a fundamental Read More …