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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 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. 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 …
Executive Overview: The Imperative of Memory Orchestration In the domain of High-Performance Computing (HPC) and massive parallel processing, the computational potential of the Graphics Processing Unit (GPU) has historically outpaced Read More …
1. Introduction to the CUDA Paradigm The evolution of high-performance computing (HPC) has been fundamentally reshaped by the transition of the Graphics Processing Unit (GPU) from a fixed-function rendering device Read More …
1. Introduction: The Paradigm of Throughput-Oriented Execution The graphical processing unit (GPU) has transcended its origins as a fixed-function rendering device to become the preeminent engine of modern high-performance computing Read More …