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        • Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks
        • Rearchitecting Linux Storage Stack for µs Latency and High Throughput
        • eBPF: rethinking the linux kernel
        • BPF for Storage: An Exokernel-Inspired Approach
        • High Velocity Kernel File Systems with Bento
        • Incremental Path Towards a Safe OS Kernel
        • Toward Reconfigurable Kernel Datapaths with Learned Optimizations
        • A Vision for Runtime Programmable Networks
        • The Demikernel and the future of kernal-bypass systems
        • Floem: A programming system for NIC-accelerated network applications
        • High Performance Data Center Operating Systems
        • Leveraging Service Meshes as a New Network Layer
        • Automatically Discovering Machine Learning Optimizations
        • Beyond Data and Model Parallelism for Deep Neural Networks
        • IOS: Inter-Operator Scheduler for CNN Acceleration
        • Building An Elastic Query Engine on Disaggregated Storage
        • Sundial: Fault-tolerant Clock Synchronization for Datacenters
        • MIND: In-Network Memory Management for Disaggregated Data Centers
        • Understanding host network stack overheads
        • From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers
        • Redesigning Storage Systems for Future Workloads Hardware and Performance Requirements
        • Are Machine Learning Cloud APIs Used Correctly?
        • Fault-tolerant and transactional stateful serverless workflows
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Reading List

  • Fault-tolerant and transactional stateful serverless workflowsarrow-up-right

  • Milvus: A Purpose-Built Vector Data Management Systemarrow-up-right

  • INFaaS: A Model-less and Managed Inference Serving Systemarrow-up-right

  • Serving DNNs like Clockwork: Performance Predictability from the Bottom Uparrow-up-right

  • Dynamic Query Re-Planning using QOOParrow-up-right

  • InferLine: ML Prediction Pipeline Provisioning and Management for Tight Latency Objectivesarrow-up-right

  • Semeru: A Memory-Disaggregated Managed Runtimearrow-up-right

  • Serverless Computing: One Step Forward, Two Steps Back arrow-up-right

  • HyperSched: Dynamic Resource Reallocation for Model Development on a Deadlinearrow-up-right

  • BPF for storage: an exokernel-inspired approacharrow-up-right

  • Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analyticsarrow-up-right

  • Machine Learning on Graphs: A Model and Comprehensive Taxonomyarrow-up-right

  • Rearchitecting Linux Storage Stack for μs Latency and High Throughputarrow-up-right

  • MLSys: The New Frontier of Machine Learning Systemsarrow-up-right

PreviousNext-Generation Optical Networks for Emerging ML Workloadschevron-leftNextConfluo: Distributed Monitoring and Diagnosis Stack for High-speed Networkschevron-right

Last updated 4 years ago