Hardware Accelerated Database Lectures - Fall 2018
Explore cutting-edge hardware acceleration for database systems through expert talks from leading DBMS developers, focusing on implementation details and real-world challenges in modern computational and storage hardware.
EfficientML.ai Lecture - Introduction to Efficient Machine Learning
Dive into the world of efficient machine learning with this comprehensive lecture from MIT HAN Lab. Explore cutting-edge techniques and strategies for optimizing ML models, reducing computational costs, and improving overall performance. Learn from exper…
Accelerating Transformers with Hugging Face Optimum and Infinity
Explore techniques to accelerate Transformer models using Hugging Face's Optimum library and Infinity solution for millisecond-scale latencies in production environments.
Optimizing vLLM for Intel CPUs and XPUs - Ray Summit 2024
Dive into Intel's optimization strategies for vLLM on CPUs and XPUs, exploring technical advancements, performance data, and collaborative efforts to enhance GenAI inference efficiency.
TinyML Talks France - State of the TinyML Today
Exploration des applications, avancées et défis du TinyML, mettant en lumière son potentiel dans les systèmes à très faible consommation et son impact sur l'IA embarquée et l'IoT.
SMDK-Inspired Memory Management Changes for CXL
Explore memory management changes inspired by SMDK for CXL technology, enhancing system performance and efficiency in modern computing architectures.
Project Peach - Hardware-Accelerated Multi-Cloud AI Workload Platform
Project Peach: 开源端到端AI/ML解决方案，实现Kubernetes上的组件集成、一键部署和GPU管理，降低vSphere基础AI/ML工作负载门槛，未来将支持多平台扩展。
Consolidation in Benchmarking, Optimization, and Ecosystem Collaboration for AI ASICs
探讨AI ASIC的基准测试、优化和生态系统协作,聚焦ByteMLPerf工具如何助力ASIC评估,提高易用性、多功能性和性能,以更好地反映实际应用场景。
Accelerating Real-Time Video Analytics on a Heterogeneous CPU and FPGA Platform
Explore real-time video analytics acceleration using CPU+FPGA platforms. Learn about performance optimization, latency reduction, and cost-effective solutions for industrial applications like fraud detection and surveillance.
Zero-Copy Video Streaming on Embedded Systems the Easy Way
Efficient video streaming on embedded systems using open-source components: capturing, encoding, streaming, decoding, compositing, and displaying with hardware acceleration on i.MX6 SoC.
EFL - A UI Toolkit Designed for the Embedded World
Explore EFL, a UI toolkit for embedded systems offering stable API, efficiency, and versatility. Learn its features, concepts, and applications in various devices and platforms.
Models on the Move: Towards Feasible Embedded AI for Intrusion Detection on Vehicular CAN Bus
Innovative AI model for efficient intrusion detection on vehicular CAN bus, enhancing automotive cybersecurity with high accuracy and low latency using FPGA hardware acceleration.
Accelerating Packet Capture Using FPGA
Explore FPGA-based packet capture acceleration techniques for enhanced network monitoring and analysis performance.
CXL Shared Memory - Progress, Challenges and Usability
Explore CXL Shared Memory's advancements, obstacles, and practical applications in this insightful talk by John Groves at the Linux Plumbers Conference.
Acceleration of Bioinformatics Workloads Through Hardware-Algorithm Co-Design and Processing-in-Memory Technologies
Explore hardware-algorithm co-design and processing-in-memory technologies for accelerating bioinformatics workloads, focusing on genomic sequence analysis and mapping techniques.
Virtual Data Path Acceleration (vDPA) Integration with Kolla-Ansible OpenStack Deployment
Discover how to enhance OpenStack networking performance through vDPA integration with Kolla-Ansible, exploring implementation strategies, benefits, and real-world performance improvements.
Virtual GPU Implementation and Configuration with OpenStack Nova
Discover how to implement and configure vGPUs within OpenStack Nova, covering hardware requirements, use-cases, and step-by-step setup for GPU-enabled virtual machines in cloud environments.
VGPU Management with OpenStack Nova and Cyborg Framework
Discover how Cyborg and Nova work together to manage acceleration resources like GPUs, FPGAs, and SmartNICs in OpenStack environments, enhancing cloud infrastructure capabilities.
Cloud GPU Providers Comparison - From H100 to RTX 4090
Explore 8 cloud GPU providers offering various options from RTX 3060 to H100 GPUs, comparing features and pricing for machine learning and LLM fine-tuning projects.
System Software for Machine Learning at the Edge - tinyML Asia 2020
Explore system software approaches for optimizing ML on edge devices, focusing on compiler and runtime techniques to maximize hardware potential for mobile and IoT applications.
Empower Heterogeneous Edge AI Acceleration with Kubernetes
Unified framework for empowering heterogeneous edge AI accelerators on Kubernetes, addressing challenges in detection, provisioning, and boosting ML frameworks for efficient edge computing.