Preface: AMD’s Versal Adaptive SoCs are designed for high-performance computing, offering a blend of programmable logic, processing system, and AI engines, along with advanced memory and interfaces. They excel in cloud, network, and edge applications by combining heterogeneous compute with a wide range of hard IP. This architecture enables outstanding performance/watt and adapts to changing…

Preface: Apache InLong can be a valuable component in machine learning (ML) and artificial intelligence (AI) workflows, particularly in the data engineering and streaming data pipeline stages. Background: Apache InLong is a one-stop massive data integration framework that provides automatic, secure, reliable and high-performance data transmission capabilities. It also supports batch and streaming, making it…

Preface: ROCm open source software platform is AMD’s core strategy. This platform supports deep learning frameworks such as PyTorch 2.0 and TensorFlow. Nvidia’s CUDA cores are indispensable for training and deploying neural networks and deep learning models, taking advantage of their parallel processing capabilities. To put that into perspective, a dozen Nvidia H100 GPUs can…

Preface: Linux powers large parts of the Internet, cloud infrastructure, and supercomputers. But it is difficult to determine the exact number of Linux systems in the world. This appears to be a technology trend that includes AI system infrastructure. Background: In Linux, a “qdisc” stands for queueing discipline. It’s a core component of the Linux…

Preface: Traditional row-based formats for data normalization have several limitations: Complex Queries: Normalization often requires joining multiple tables to retrieve data, which can make queries more complex and slower. Maintenance Challenges: Maintaining a highly normalized database can be more difficult, as changes to the schema may require updates to multiple tables. Background: Apache ORC (Optimized…