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Transforming Digital Learning: Learning Design Meets Service Design
Intelligenza Artificiale
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Innovative approach for scalable approximate nearest neighbor search using CXL memory disaggregation, caching, and parallel processing to significantly improve performance and efficiency.
Innovative approach for efficient memory management in virtualized systems, enhancing resource utilization while ensuring DMA safety through fine-grained page meta-data management.
Explores MSRL, a distributed reinforcement learning system using fragmented dataflow graphs for flexible execution on GPU clusters, offering improved performance and adaptability.
Explore LPNS, a novel system for latency-predictable local storage virtualization in cloud environments, offering improved QoS control and performance for NVMe SSDs.
Explore TiDedup, a novel cluster-level deduplication architecture for Ceph, addressing shortcomings in existing designs and improving data reduction, I/O throughput, and reference correction efficiency.
Innovative stream processing system enabling fast reactive scaling for unpredictable workloads using serverless frameworks. Reduces latency and costs while efficiently handling bursty loads in real-time data processing.
Explore Lina, an innovative system for accelerating distributed Mixture of Experts training and inference, addressing all-to-all communication bottlenecks in large-scale AI models.
Explore a novel approach to enhance mobile web services by bridging Quality of Experience and Quality of Service in congestion control, improving user experience through adaptive algorithms.
Explore IPU Trusted Extensions for secure AI workloads, offering confidentiality and integrity with low overhead. Learn about hardware isolation, encryption, and multi-party training capabilities in Graphcore's AI accelerators.
Innovative page-frame allocator design for improved scalability, memory efficiency, and optional persistence in operating systems. Outperforms Linux's allocator in multi-core systems and heterogeneous memory environments.
Explore a lightweight deduplication framework for NVM file systems, featuring innovative techniques to enhance performance and reduce costs in next-generation storage media.
Innovative distributed file system using a single metadata server for billion-scale operations, featuring log-free metadata, hierarchical concurrency control, and hybrid inode partition.
Explores key disclosure timing attacks on LSM-tree based key-value stores using range filters, demonstrating security vulnerabilities in data storage systems.
Explore an innovative IoT platform for digital agriculture, featuring extensible architecture, fault tolerance, and edge analytics for sustainable farming and increased productivity.
Innovative framework offloading memory optimization tasks to SmartNICs, reducing server CPU load and cache pollution while maintaining efficiency. Demonstrates significant latency improvements for co-running applications.
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