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Psychology
Online Education
Data Analysis
Introduction to Real-Time Audio Programming in ChucK
Introduction to Complexity
The Science of the Solar System
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Innovative congestion control system for ultra-fast data center networks, reducing latency and improving flow completion time while maintaining high utilization at speeds up to 400Gbps.
Explores IO-TCP, a split TCP stack design offloading disk I/O and packet transfer to SmartNIC, enhancing online content delivery performance by reducing CPU burden and improving scalability.
Explores a novel approach to datacenter server orchestration by offloading tasks to NICs, improving scalability, efficiency, latency, and throughput compared to software-only solutions.
Innovative system for improving short video streaming quality by predicting user swipe patterns and pre-buffering content, outperforming TikTok while reducing wasted data downloads.
Innovative video analytics framework integrating model reuse and online retraining for efficient, adaptive DNN models. Optimizes GPU allocation and leverages shared model zoo for improved performance across diverse vision tasks.
Explore futuristic integrated space-terrestrial networks with StarryNet, a framework enabling realistic and flexible experiments to evaluate global satellite dynamics and network behaviors.
Intercloud broker enabling seamless workload migration between clouds, creating a unified Sky Computing ecosystem for enhanced data compliance and protection against outages.
Proposes a simplified cloud network interface that reduces tenant complexity by 80-90%, shifting network management responsibilities to cloud providers while maintaining scalability and security.
Explores tradeoffs between energy consumption and performance in DNN training, proposing Zeus framework to optimize configurations for improved energy efficiency without compromising performance.
Innovative system for cost-effective training of large DNNs using preemptible instances, introducing redundant computations to enhance resilience and efficiency in distributed learning environments.
Innovative graph pattern mining system combining decomposition theory and edge sampling for efficient processing of massive graphs, outperforming existing solutions by orders of magnitude.
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.
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