| Feb. 17: Introduction |
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The task of the referee |
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| Feb. 24: Datacenter basics |
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Web search for a planet: The Google cluster architecture [Google, IEEE Micro '03] |
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A view of cloud computing [Berkeley, CACM '10] |
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| Mar. 02: Datacenter workloads |
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Clearing the Clouds: a study of emerging scale-out workloads on modern hardware [EPFL, ASPLOS '12] |
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AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers [Google, ISCA '19] |
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| Mar. 09: Quality of service |
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Tail at Scale [Google, CACM '13] |
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Few-to-Many: Incremental Parallelism for Reducing Tail Latency in Interactive Services [Microsoft, ASPLOS '15] |
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| Mar. 16: No class |
| Mar. 23: Data services |
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Spanner: Google’s Globally-Distributed Database [Google, OSDI '12] |
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MICA: A Holistic Approach to Fast In-Memory Key-Value Storage [CMU & Intel, NSDI '14] |
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| Mar. 30: Networking |
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VL2: A Scalable and Flexible Data Center Network [Microsoft, SIGCOMM '09] |
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Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities [Stanford & MIT, SIGCOMM '18] |
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| Apr. 06: Microservices |
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RPCValet: NI-Driven Tail-Aware Balancing of µs-Scale RPCs [EPFL, ASPLOS '19] |
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Optimus Prime: Accelerating Data Transformation in Servers [EPFL, ASPLOS '20] |
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| Apr. 13: No class -- Easter break |
| Apr. 20: Processor design |
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Scale-out Processors [EPFL, ISCA '12] |
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Stretch: Balancing QoS and Throughput for Colocated Server Workloads on SMT Cores [uEdinburgh & EPFL, HPCA '19] |
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| Apr. 27: Memory systems |
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Scale-Out NUMA [EPFL, ASPLOS '14] |
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Efficient Memory Disaggregation with INFINISWAP [uMichigan, NSDI '09] |
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| May. 04: Storage |
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Windows Azure Storage: a highly available cloud storage service with strong consistency [Microsoft, SOSP '11] |
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f4: Facebook’s Warm BLOB Storage System [Facebook, OSDI '14] |
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| May. 11: Virtualization and serverless computing |
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SCONE: Secure Linux Containers with Intel SGX [TU Dresden, OSDI '16] |
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Serverless Computation with OpenLambda [uWisconsin, HotCloud '16] |
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| May. 18: Deep learning in datacenters (1) |
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TensorFlow: A System for Large-Scale Machine Learning [Google, OSDI '16] |
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Scaling Distributed Machine Learning with the Parameter Server [CMU, Baidu, and Google, OSDI '14] |
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| May. 25: Deep learning in datacenters (2) |
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A Configurable Cloud-Scale DNN Processor for Real-Time AI [Microsoft, ISCA '18] |
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Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective [Facebook, HPCA '18] |
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