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Executive Summary The transition from rigid Enterprise Data Warehouses (EDW) to flexible Data Lakes initiated a fundamental paradigm shift in enterprise data management, moving from strict “schema-on-write” enforcement to a Read More …
1. Introduction: The Structural Crisis of Generative AI Infrastructure The rapid assimilation of Generative AI (GenAI) into the enterprise software stack has precipitated a fundamental shift in data infrastructure requirements, Read More …
Executive Summary The rapid assimilation of embedding-based artificial intelligence into enterprise infrastructure—driven by Large Language Models (LLMs), semantic search, and multimodal retrieval systems—has precipitated a fundamental architectural shift in database Read More …
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 …