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Innovative hardware acceleration architecture for cross-silo federated learning, enhancing performance and resource utilization of cryptographic operations while preserving data privacy.
Introduces Hostping, a system for monitoring and diagnosing intra-host network bottlenecks in RDMA servers, addressing performance issues in high-speed networks through innovative loopback testing techniques.
Optimizes cloud data transfers across regions and providers using network overlays, balancing cost and performance. Outperforms existing services by up to 5x through intelligent path selection and resource allocation.
Efficient cluster scheduling system for dynamic adaptation in ML training, optimizing fairness and efficiency through market theory and stochastic dynamic programming.
Innovative tool for synthesizing efficient communication algorithms in multi-GPU machine learning, outperforming NCCL and accelerating model training across various hardware configurations.
Accelerate DNN training by repurposing previously-trained models. Identify architectural similarities, select parent models, and perform structure-aware weight transformation for faster training completion without accuracy loss.
Innovative distributed tracing system for efficiently capturing edge-case issues in large-scale systems, offering low-overhead monitoring and retroactive sampling for precise problem diagnosis.
Innovative framework for unbiased trace-driven simulation, addressing biases in current methods. Learn about CausalSim's causal model approach and its significant improvements in simulation accuracy for various applications.
Innovative approach for high-speed packet processing using programmable switches, external memory, and processing devices. Enables complex stateful operations at 300G throughput with a single server.
Explore application-level orchestration for serverless apps using Unum, offering flexibility, cost-efficiency, and performance gains over standalone orchestrators while maintaining programming interfaces and execution guarantees.
Innovative long-range receiver for backscatter devices, enabling passive chirp de-spreading and μW-level power consumption. Achieves 400m range at 2kbps with low BER, overcoming previous limitations.
Innovative system for efficient GPU sharing in container clouds, enabling higher utilization and faster job completion for deep learning workloads while maintaining performance isolation.
Innovative RFID localization system for efficient inventory tracking in logistics. Offers real-time processing, extended range, and reduced errors, enhancing automation in warehouses and delivery stores.
Introduces Aura, a system for synthesizing datacenter routing policies, featuring RPL language and a compiler for automatic switch configuration generation, supporting frequent policy changes.
Innovative approach to enhance global network monitoring by combining sampling with mirroring, improving coverage without increasing overhead. Introduces "negative mirroring" for efficient traffic validation.
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