Uplatz is a global IT Training & Consulting company
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 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 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 Heterogeneous Computing Era The landscape of high-performance computing (HPC) has undergone a seismic transformation over the last two decades. For nearly thirty years, the industry relied on Read More …
Executive Summary The artificial intelligence landscape is currently undergoing a foundational paradigm shift, transitioning from the era of passive Generative AI—characterized by static prompt-response interactions—to the era of Agentic AI. Read More …
1. Introduction: The Era of “Omni-Modal” Intelligence The evolution of artificial intelligence in 2024 and 2025 has been characterized by a decisive shift from disparate, loosely coupled systems toward unified, Read More …