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Innovative hyperparameter tuning service for deep learning models, optimizing efficiency and resource utilization in datacenters through surrogate models and adaptive resource management.
Innovative approach to optimize distributed on-disk database transactions using fast 2PC and lock-free read protocol, enabling efficient data prefetching and minimizing contention in datacenter environments.
Efficient RDMA abstraction for replicating persistent memory key-value stores, improving throughput and latency while reducing write amplification in distributed systems.
Innovative service mesh solution for hyperscale environments, optimizing RPC routing with minimal hardware costs. Features include direct routing, sharded service support, and locality rings for geo-distributed load balancing.
Innovative networking technique that shares receive rings among cores, reducing memory footprint and improving throughput for high-bandwidth scenarios, with significant latency reductions in NFV workloads.
Explore ORC: a novel approach for efficient memory sharing in cloud environments, offering improved density and isolation through fine-grained object reuse and hardware-supported capabilities.
Automated system for optimizing capacity distribution across global datacenters, using RPC tracing and service models to efficiently rebalance resources for thousands of services and products.
Innovative approach for scheduling DNN computational graphs on domain-specific accelerators, optimizing resource utilization and enhancing performance through synergy between network and hardware architectures.
Explores core slicing, a novel approach to enhance cloud security by enabling multiple untrusted guest OSes to run on shared bare-metal hardware, addressing vulnerabilities in confidential VMs.
ExoFlow: A universal workflow system enabling flexible recovery vs. performance tradeoffs within applications. Decouples execution from recovery, provides exactly-once semantics, and supports diverse workflow applications with optimized task communicatio…
Explore Flor, an innovative framework enabling high-performance RDMA across diverse network interface cards, addressing bandwidth imbalances and enhancing datacenter application efficiency.
Adaptive embedding system for large-scale recommendation models, reducing embedding size while maintaining accuracy. Improves deployment efficiency and model execution speed in industrial settings.
Explore Cilantro, an innovative system for performance-aware resource allocation in clusters, using online learning to optimize various scheduling objectives and improve user utilities.
Explore Defcon, a system for improving large-scale Internet service availability through graceful feature degradation, enabling operators to manage overload conditions and enhance global product reliability.
Innovative concurrency control technique for datastores that leverages natural consistency to achieve minimal costs while guaranteeing strict serializability, avoiding common pitfalls and optimizing performance.
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