Designing for Azure Data Warehouse Performance - Cloud
Learn Azure Data Warehouse design principles for optimal performance, covering architecture, data modeling, and practical considerations to balance current and future needs.
SQL Server on Azure Virtual Machine - What's New?
Scopri le best practices per SQL Server su Azure VM, ottimizzando performance e affidabilità. Esplora le novità per semplificare la gestione e implementare sistemi HA a costi ridotti in contesti di Hybrid Cloud.
User-Level Threads with Threads
Explore efficient multi-threaded programming using user-level threads, covering new kernel interfaces and primitives for cooperative threading with sub-200ns context-switch times across various languages.
Open Source GPU Compute Stack - Not Dancing the CUDA Dance
Exploring open-source alternatives to CUDA for GPU compute acceleration, discussing potential for a vendor-neutral reference stack using SYCL/OpenCL/Vulkan and Mesa.
Heterogeneous Memory Management
Explore heterogeneous computing challenges, focusing on unified address spaces, memory management, and data placement across CPUs and parallel devices like GPUs.
Challenges of the RDMA Subsystem
Explore RDMA subsystem challenges in Linux, covering complex user APIs, DMA models, security, file system interactions, and networking functionality. Gain insights for emerging drivers facing similar issues.
Malloc for Everyone and Beyond NUMA
Exploring memory management in heterogeneous computing, addressing challenges beyond NUMA, and proposing a unified API for diverse memory types in modern systems.
DWARF Extensions for Optimized SIMT - SIMD - GPU Debugging
Explore DWARF extensions for GPU debugging, addressing challenges in heterogeneous computing and optimizing variable location tracking in SIMT/SIMD environments.
Speed Up - Incremental Compilation with Nx
Explore Nx's incremental compilation feature for faster builds in large-scale Angular projects. Learn about dependency graphs, parallelization, and computation caching to enhance development speed and productivity.
Is Sharing GPU to Multiple Containers Feasible?
Explore GPU sharing for ML workloads in Kubernetes, maximizing utilization and cost-efficiency. Learn to extend Nvidia device plugin for multi-workload scheduling on a single GPU.
Monitoring GPUs at Scale for AI - ML and HPC Clusters
Learn how NVIDIA monitors GPU clusters for AI/ML workloads using open-source tools, addressing deployment, maintenance, security, and scale challenges for various user personas.
Production Multi-node Jobs with Gang Scheduling, K8s, GPUs and RDMA
Explore distributed execution of DL/ML jobs in Kubernetes, covering gang scheduling, GPU acceleration, and high-speed networking for improved performance and scalability.
Deep Dive - Volcano
Explore Volcano, a batch system for Kubernetes, designed for machine learning, bioinformatics, and big data workloads. Learn its features, benefits, and integration with popular frameworks.
Unlocking New Pose in HPC - Containerization, Cloud, and GPU-based Workloads
Explore containerization, cloud, and GPU-based workloads in HPC. Learn about Kubernetes for resource management, GPU virtualization, custom scheduling, and monitoring for efficient AI development and deployment.
Bring Batch Capability Into Kubernetes, Using AI and Big Data as an Example
Explore advanced scheduling features for batch workloads in Kubernetes, focusing on AI and big data applications using frameworks like TensorFlow and Spark. Learn about fair-share scheduling and the Volcano project.
Deep Dive - Fluent Bit - High Performance Log Processor
Explore Fluent Bit's high-performance log processing capabilities, architecture, and best practices for efficient data handling in distributed environments with low resource usage.
Toward Hybrid Cloud Serverless Transparency with Lithops Framework
Explore serverless computing for diverse scenarios using Lithops framework. Learn to connect existing code effortlessly, enabling transparent execution of Python across cloud resources without starting from scratch.
Contour, a High Performance Multitenant Ingress Controller for Kubernetes
Explore Contour, a high-performance ingress controller for Kubernetes. Learn its features, multi-tenant capabilities, and integration with Envoy proxy. Discover recent updates and future roadmap.
Argo and Tekton - Pushing the Boundaries of the Possible on Kubernetes
Explore how Argo and Tekton push Kubernetes' boundaries for unconventional workloads, managing data, parallelism, and special lifecycle requirements beyond vanilla deployments.
Secure, Efficient API Plane Traversal for Compute Resources on Exascale Super Computers Using SPIRE
Explore SPIRE's role in securing machine-to-machine communication on Cray Shasta exascale supercomputers. Learn about critical communication requirements and why SPIRE is an ideal solution for this high-performance computing environment.
Introduction to WasmEdge - A Cloud-native WebAssembly Runtime
探索WasmEdge:云原生WebAssembly运行时。了解其在云计算、边缘计算等领域的应用,以及如何利用WasmEdge扩展软件产品,实现高性能、轻量级、安全的功能扩展。