Post-Quantum Cryptography Hardware Implementation - CHES 2024
Explore post-quantum cryptography hardware implementations in this CHES 2024 session, covering cutting-edge research and advancements in the field.
Masking in RISC-V Architecture - CHES 2024
Explore cutting-edge masking techniques for RISC-V architecture in this CHES 2024 session, focusing on enhancing cryptographic security and side-channel attack resistance.
Fault Resistance I
Explore cutting-edge fault resistance techniques in cryptographic hardware at CHES 2024, chaired by Pascal Sasdrich. Gain insights into latest research and advancements in this critical field.
Faults in Symmetric Cryptography - CHES 2024 Session
Explore symmetric fault analysis techniques and their applications in cryptography at this CHES 2024 session, chaired by Nicky Mouha.
Quantum Attacks on AES
Exploration of quantum attacks on AES, discussing potential vulnerabilities and implications for cryptographic security in the era of quantum computing.
Post-Quantum Cryptography VI - Speed Optimization - CHES 2024
Explore post-quantum cryptography advancements and speed optimizations in this CHES 2024 session, chaired by Robert Primas.
Whitebox Cryptography Theory - CHES 2024
Explore theoretical aspects of whitebox cryptography in this CHES 2024 session, chaired by Bart Preneel, delving into advanced security concepts and research findings.
Whitebox Cryptography Techniques - Session II
Explore advanced whitebox cryptography techniques and their applications in secure systems, chaired by renowned cryptographer Bart Preneel at CHES 2024.
Documenting a New Project - Best Practices and Principles
Learn best practices for documenting new projects, from preparation to execution. Discover strategies to simplify the process, manage technical debt, and ensure long-term maintainability.
C++ as a Metacompiler - Exploring Compile-Time Language Processing
Explore metacompilation in C++17+: leveraging grammatical tools to create domain-specific languages, translate to meta assembly, and generate constexpr functions for compile/runtime use.
The Challenges of Kubernetes Data Protection - Real Examples and Solutions
Explore real-world challenges in Kubernetes data protection, focusing on application definition, data consistency, and cross-environment restoration. Learn practical solutions using Velero.
Unlocking Scalability and Simplifying Multi-Cloud Management with Karmada and PipeCD
Explore Karmada and PipeCD for seamless multi-cloud management, addressing challenges in resilience, performance, security, and deployment across multiple cloud environments in the AI era.
Beyond Statefulset: Containerizing Enterprise Stateful Applications in Practice
Explore advanced techniques for containerizing enterprise stateful applications, including leader election, hot loading, and database maintenance, with insights from Alibaba and Xiaohongshu teams.
Accelerating Serverless AI Large Model Inference with Functionalized Scheduling and RDMA
Optimizing serverless AI inference with functionalized scheduling and RDMA for faster response times and efficient KV cache migration, addressing challenges in large-scale model deployment.
Expanding Cloud Native Capabilities with WASM: A Case Study of Harbor
Explore WASM integration in Harbor for flexible cloud-native artifact registry extension, enabling custom filtering and security auditing without code modification.
Breaking Boundaries - TACC as a Unified Cloud-Native Infrastructure for AI and HPC
Explore TACC, an innovative AI infrastructure solution bridging K8S and Slurm advantages. Learn about seamless UI, multi-tenant resource management, and robust distributed infrastructure for large-scale GPU clusters.
The Experience of ChillyRoom Developing and Managing Session-Based Games on Kubernetes with OpenKruiseGame
Explore ChillyRoom's experience using OpenKruiseGame for session-based game development on Kubernetes, covering automated networking, elastic scaling, and room management for game developers.
Karmada and Istio - Improving Workload and Traffic Resilience in Production Distributed Cloud
Explore how Karmada and Istio enhance resilience in distributed cloud environments, focusing on workload management and traffic distribution across multiple clusters.
How to Increase the Throughput of Kubernetes Scheduler by Tens of Times
Explore advanced techniques to significantly boost Kubernetes scheduler performance, including algorithm optimization, parallel computation, and batch scheduling for improved cluster scalability and resource utilization.
Unlocking LLM Performance with eBPF - Optimizing Training and Inference Pipelines
通过eBPF实现LLM训练和推理过程的可观察性,优化性能。介绍内存、网络和GPU分析方法,分享在PyTorch和llm.c项目中的实践经验,提高GPU利用率。
Developing a Standard Multi-Cluster Inventory API
Explore the standardization of cluster inventory APIs, their progress, use cases, and future vision. Learn about multi-cluster management and AI workload scheduling challenges.