Writing Your Own Kernel Cryptographic Accelerator Driver
Learn to develop a kernel cryptographic accelerator driver, exploring hardware acceleration techniques and Linux kernel integration for enhanced security and performance.
Compute Express Link Microconference - LPC 2023
Explore Compute Express Link technology and its applications in modern computing systems at this Linux Plumbers Conference session.
Hardware Acceleration and Instruction Set Extensions
Explore hardware acceleration and instruction set extensions in cryptography at CHES 2023, featuring cutting-edge research and expert insights.
Apache Commons Crypto - Optimized Cross-Platform Cryptographic Library
Explore Apache Commons Crypto, a high-performance cryptographic library optimized with AES-NI and hardware random number generation, offering Java developers strong and efficient AES encryption/decryption capabilities.
Linux Cryptographic Acceleration on an i.MX6
Explore cryptographic acceleration on i.MX6, covering CAAM enablement, userspace connectivity, and performance comparisons of different approaches for securing IoT devices.
An Overview of the Linux Kernel Crypto Subsystem
Comprehensive exploration of Linux kernel's cryptographic subsystem, covering its components, interfaces, hardware acceleration, and best practices for kernel and driver development.
OpenSSL Hardware Offload Enhancement for TLS Acceleration
Exploring OpenSSL's asynchronous acceleration framework for enhanced TLS performance, including implementation in Nginx and VPP, and recent improvements for efficient kernel bypass communication.
Multi-Cloud Machine Learning Data and Workflow with Kubernetes
Explore building a multi-cloud ML platform using Kubernetes for autonomous vehicles, addressing data management, scheduling, and hardware support across diverse environments.
Linux Encryption Performance Improvements and Best Practices
Explore recent Linux cryptographic stack improvements, covering TLS, dm-crypt, and hardware acceleration. Learn how enhanced encryption performance can bolster data protection across various architectures.
Analysis of AMD Hardware-Assisted Virtual IOMMU Implementation and Performance
Explore AMD's hardware-assisted vIOMMU implementation, its performance impact, and integration with QEMU and host drivers for enhanced DMA remapping and guest IOMMU support.
Machine Learning News: Gemma, Gemini, Groq, Sora, and AI Developments
Explore latest ML developments: Gemma, Groq, Sora, Gemini updates. Dive into hardware advancements, AI ethics, and amusing incidents. Stay informed on cutting-edge AI progress and industry news.
Vendor-Neutral GPU Programming in Chapel
Explore Chapel's vendor-neutral GPU support for portable, parallel computing across diverse hardware. Learn to write GPU-enabled programs and discover opportunities for open-source involvement.
Scalable MatMul-free Language Modeling - Paper Explained
Explore innovative MatMul-free language modeling techniques using quantization and recurrence, achieving comparable performance to traditional models while significantly reducing computational costs and memory usage.
CXL Memory Compression
Explore memory compression techniques for CXL technology, enhancing data center efficiency and performance in modern computing infrastructures.
Hugging Face Accelerate: Making Device-Agnostic ML Training and Inference Easy at Scale
Learn to simplify ML model training and inference across devices using Hugging Face Accelerate. Explore its low-level interface, hardware compatibility, and scalable deployment features.
NN-Defined Modulator - Reconfigurable and Portable Software Modulator for IoT Gateways
Innovative approach using neural networks for IoT gateway modulators, offering improved extensibility and portability across diverse hardware platforms with enhanced efficiency.
Pods Everywhere - InterLink: Virtual Kubelet Abstraction for HPC Resource Exploitation
Explore InterLink, an open-source Virtual-Kubelet extension enabling seamless access to external hardware-accelerated machines through Kubernetes APIs, revolutionizing scientific computing workflows.
LLM Efficient Inference in CPUs and Intel GPUs - Intel Neural Speed
Optimize LLM inference on Intel CPUs and GPUs using Neural Speed. Explore efficient techniques for enhanced performance in machine learning and data science applications.
Software and Hardware for Sparse Machine Learning
Explore cutting-edge software and hardware solutions for sparse machine learning, enhancing efficiency and performance in ML applications.
Neuromorphic Computing - An Overview
Explore neuromorphic computing principles and applications with expert Ramashish Gaurav, gaining insights into brain-inspired computational models and their potential impact on AI.
Information Processing with Photonic Hardware Neural Networks
Explore photonic hardware neural networks for advanced information processing, focusing on cutting-edge applications and technological advancements.