Fast, Elegant, Set-oriented Numerical Analysis Using GAIO.jl
Explore GAIO.jl for fast, elegant set-oriented numerical analysis in Julia. Learn to compute attractors, leverage multiple dispatch, and utilize GPU acceleration for enhanced performance.
Highlights of Recent ICM Developments: GPU Acceleration, Applications, and More
Explore recent ICM developments, including GPU acceleration and applications. Discover advancements in molecular modeling, docking, and AI tools for computational chemistry.
Continuously Improving Large Scale Recommenders with MLOps Tools and Practices
Leverage MLOps tools and practices to operationalize and continuously improve recommendation systems at scale using NVIDIA Merlin and Kubeflow on Google Kubernetes Engine.
ML Training Acceleration with Heterogeneous Resources in ByteDance
探讨如何利用字节跳动的异构计算资源加速机器学习模型训练,包括GPU共享机制、NUMA亲和性资源分配和RDMA网络通信等技术。
New Advances for Cross-Platform AI Applications in Docker
Explore innovative methods for enhancing cross-platform GPU/AI workloads in containers, focusing on Docker's WebGPU integration for flexible GPU utilization and portable LLM inference applications.
How Volcano Enables the Next Wave of Intelligent Applications
Volcano优化AI和大数据应用，提供作业管理、调度策略、异构硬件支持和性能优化，助力智能应用发展，加速GPU/NPU训练效率，优化大规模集群资源利用。
Instalación de Nvidia Cudnn y Primeros Pasos con NVCC en C++
Aprende a instalar Cudnn, la biblioteca de redes neuronales profundas de CUDA, y comienza a desarrollar aplicaciones de aprendizaje automático con soporte GPU en C++.
CUDA with WSL2 and Ubuntu without Docker
WSL2와 Ubuntu에서 Docker 없이 CUDA 사용하기: 아키텍처 이해부터 설치, GPU 가속 딥러닝 코드 실행까지 실습을 통해 알아보는 WSL2 환경에서의 CUDA 활용법
MFEM Workshop 2023 - Student Lightning Talks Part 2
Explore cutting-edge research in high-order mathematical calculations for scientific simulations through student presentations on neural networks, GPU acceleration, and Monte Carlo methods.
High-Order Solvers and GPU Acceleration for MFEM - Workshop 2022
Explore high-order finite element methods, GPU acceleration, and matrix-free solvers for scientific simulations using MFEM. Learn about low-order-refined preconditioning and adaptive mesh refinement.
BlastFEM: GPU-Accelerated, High-Performance, Energy-Efficient Solver for Highly Compressible Flows
Explore GPU-accelerated solver for highly compressible flows, enhancing efficiency in scientific simulations across various applications. Learn about blastFEM's capabilities for next-generation computational modeling.
Modernizing Apache Spark 3.0 Applications - Best Practices and Optimization Techniques
Optimize legacy Spark applications for 3.0: leverage Adaptive Query Execution, columnar processing, GPU acceleration, and ML integration. Concrete examples and lessons from modernizing analytics workloads.
Accelerating Apache Spark with GPUs Using RAPIDS
Explore GPU acceleration for data science with RAPIDS, offering significant performance gains over CPU-only solutions. Learn its functionality, architecture, and integration with Apache Spark for large-scale computation.
Deep Dive into GPU Support in Apache Spark 3.x - Accelerator-Aware Scheduling and RAPIDS Plugin
Explore GPU acceleration in Apache Spark 3.x, covering task scheduling, columnar processing, and the RAPIDS plugin for enhanced ETL, ML, and DL performance without code changes.
GPU-Acceleration for Pandas, NetworkX, and Apache Spark MLlib - Accelerating Data Science Tools
Discover GPU-accelerated data science tools for pandas, NetworkX, and Apache Spark MLlib. Learn about RAPIDS cuDF, accelerated data processing, and optimizing machine learning pipelines for enhanced performance and accessibility.
Pandas 2, Dask or Polars? Quickly Tackling Larger Data on a Single Machine
Explore Pandas 2, Dask, and Polars for efficient large data processing on a single machine. Compare features, performance, and ecosystem compatibility to choose the best tool for your research workflow.
Rendering a Sphere Using Ray Tracing - Ray Tracing Series
Learn to render a sphere using ray tracing techniques in C++. Covers creating a Renderer class, structuring code like a pixel shader, and implementing sphere rendering with optimized performance.
Dynamic Link Masterclass - After Effects and Premiere Pro Workflows
Explore seamless integration between After Effects and Premiere Pro using Dynamic Link. Learn efficient workflows, real-time previews, and advanced techniques for enhanced video editing and motion graphics.
Reinventing Virtual Production with Jetset
Innovative virtual production techniques using Blender, minimal stage setup, and Jetset Cine app for high-quality VFX with a small crew. Demonstrates cost-effective methods for feature film-level results.
GRaMX: A New GPU-Accelerated Dynamical Spacetime GRMHD Code
Explore GRaMX, a cutting-edge GPU-accelerated dynamical spacetime GRMHD code, and its applications in computational relativity and gravitation.
Improvements to NVIDIA CUDA and Deep Learning Libraries - Session 1
Explore NVIDIA's latest AI tech advancements, including CUDA Graphs, WMMA, and cuDNN. Learn about performance improvements, Tensor Cores, and new features for deep learning acceleration.