# Group

- [WISR Group](/blog/specific-work/wisr-group.md): Discussion + Project reading
- [Group](/blog/specific-work/wisr-group/group.md)
- [Offloading distributed applications onto smartNICs using iPipe](/blog/specific-work/wisr-group/group/offloading-distributed-applications-onto-smartnics-using-ipipe.md): https://homes.cs.washington.edu/~arvind/papers/ipipe.pdf
- [Semeru: A memory-disaggregated managed runtime](/blog/specific-work/wisr-group/group/semeru-a-memory-disaggregated-managed-runtime.md)
- [Cache](/blog/specific-work/wisr-group/cache.md): This contains the papers I have read for the adaptive caching project
- [Index](/blog/specific-work/wisr-group/cache/index.md): Paper Read for caching
- [TACK: Improving Wireless Transport Performance by Taming Acknowledgements](/blog/specific-work/wisr-group/cache/index/tack-improving-wireless-transport-performance-by-taming-acknowledgements.md): https://www.youtube.com/watch?v=NQG3Pmxn9xE
- [LHD: Improving Cache Hit Rate by Maximizing Hit Density](/blog/specific-work/wisr-group/cache/index/lhd-improving-cache-hit-rate-by-maximizing-hit-density.md): https://www.usenix.org/conference/nsdi18/presentation/beckmann
- [AdaptSize: Orchestrating the Hot Object Memory Cache in a Content Delivery Network](/blog/specific-work/wisr-group/cache/index/adaptsize-orchestrating-the-hot-object-memory-cache-in-a-content-delivery-network.md): https://www.usenix.org/conference/nsdi17/technical-sessions/presentation/berger
- [Clustered Bandits](/blog/specific-work/wisr-group/cache/index/clustered-bandits.md): https://arxiv.org/abs/1206.4169
- [Important Sampling](/blog/specific-work/wisr-group/cache/index/important-sampling.md): https://www.coursera.org/learn/sample-based-learning-methods/lecture/6PRvh/course-introduction
- [Contexual Bandits and Reinforcement Learning](/blog/specific-work/wisr-group/cache/index/contexual-bandits-and-reinforcement-learning.md)
- [Reinforcement Learning for Caching with Space-Time Popularity Dynamics](/blog/specific-work/wisr-group/cache/index/reinforcement-learning-for-caching-with-space-time-popularity-dynamics.md): https://arxiv.org/abs/2005.09155
- [Hyperbolic Caching: Flexible Caching for Web Applications](/blog/specific-work/wisr-group/cache/index/hyperbolic-caching-flexible-caching-for-web-applications.md): https://www.usenix.org/conference/atc17/technical-sessions/presentation/blankstein
- [Learning Cache Replacement with CACHEUS](/blog/specific-work/wisr-group/cache/index/learning-cache-replacement-with-cacheus.md): https://www.usenix.org/conference/fast21/presentation/rodriguez
- [Footprint Descriptors: Theory and Practice of Cache Provisioning in a Global CDN](/blog/specific-work/wisr-group/cache/index/footprint-descriptors-theory-and-practice-of-cache-provisioning-in-a-global-cdn.md): https://www.akamai.com/content/dam/site/en/documents/research-paper/footprint-descriptors-theory-and-practice-of-cache-provisioning-in-a-global-cdn.pdf
- [Hyperparam Exploration](/blog/specific-work/wisr-group/hyperparam-exploration.md): This page contains the papers I have read for the hyperparameter exploration project
- [Bayesian optimization in cloud machine learning engine](/blog/specific-work/wisr-group/hyperparam-exploration/bayesian-optimization-in-cloud-machine-learning-engine.md)
- [Shivaram's Group](/blog/specific-work/shivarams-group.md): Paper discussion collection
- [Tools](/blog/specific-work/shivarams-group/tools.md): https://missing.csail.mit.edu/
- [Group papers](/blog/specific-work/shivarams-group/group-papers.md)
- [PushdownDB: Accelerating a DBMS using S3 Computation](/blog/specific-work/shivarams-group/group-papers/pushdowndb-accelerating-a-dbms-using-s3-computation.md): https://arxiv.org/pdf/2002.05837.pdf
- [Declarative Machine Learning Systems](/blog/specific-work/shivarams-group/group-papers/declarative-machine-learning-systems.md): https://arxiv.org/abs/2107.08148
- [P3: Distributed Deep Graph Learning at Scale](/blog/specific-work/shivarams-group/group-papers/p3-distributed-deep-graph-learning-at-scale.md): https://www.usenix.org/system/files/osdi21-gandhi.pdf
- [Accelerating Graph Sampling for Graph Machine Learning using GPUs](/blog/specific-work/shivarams-group/group-papers/accelerating-graph-sampling-for-graph-machine-learning-using-gpus.md): https://dl.acm.org/doi/10.1145/3447786.3456244
- [Unicorn: A System for Searching the Social Graph](/blog/specific-work/shivarams-group/group-papers/unicorn-a-system-for-searching-the-social-graph.md): https://research.fb.com/wp-content/uploads/2013/08/unicorn-a-system-for-searching-the-social-graph.pdf
- [Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless](/blog/specific-work/shivarams-group/group-papers/dorylus-affordable-scalable-and-accurate-gnn-training-with-distributed-cpu-servers-and-serverless.md): https://arxiv.org/pdf/2105.11118.pdf
- [Garaph: Efficient GPU-accelerated GraphProcessing on a Single Machine with Balanced Replication](/blog/specific-work/shivarams-group/group-papers/garaph-efficient-gpu-accelerated-graphprocessing-on-a-single-machine-with-balanced-replication.md): https://www.usenix.org/system/files/conference/atc17/atc17-ma.pdf
- [MOSAIC: Processing a Trillion-Edge Graph on a Single Machine](/blog/specific-work/shivarams-group/group-papers/mosaic-processing-a-trillion-edge-graph-on-a-single-machine.md): https://dl.acm.org/doi/pdf/10.1145/3064176.3064191
- [Fluid: Resource-aware Hyperparameter Tuning Engine](/blog/specific-work/shivarams-group/group-papers/fluid-resource-aware-hyperparameter-tuning-engine.md): https://proceedings.mlsys.org/paper/2021/file/9f61408e3afb633e50cdf1b20de6f466-Paper.pdf
- [Lists](/blog/specific-work/shivarams-group/group-papers/lists.md)
- [Wavelet: Efficient DNN Training with Tick-Tock Scheduling](/blog/specific-work/shivarams-group/group-papers/lists/wavelet-efficient-dnn-training-with-tick-tock-scheduling.md): https://mlsys.org/virtual/2021/oral/1586
- [GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability](/blog/specific-work/shivarams-group/group-papers/lists/gpu-lifetimes-on-titan-supercomputer-survival-analysis-and-reliability.md): https://dl.acm.org/doi/abs/10.5555/3433701.3433755
- [ZeRO-Infinity and DeepSpeed: Unlocking unprecedented model scale for deep learning training](/blog/specific-work/shivarams-group/group-papers/lists/zero-infinity-and-deepspeed-unlocking-unprecedented-model-scale-for-deep-learning-training.md): https://www.microsoft.com/en-us/research/blog/zero-infinity-and-deepspeed-unlocking-unprecedented-model-scale-for-deep-learning-training/
- [ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning](/blog/specific-work/shivarams-group/group-papers/lists/zero-infinity-breaking-the-gpu-memory-wall-for-extreme-scale-deep-learning.md): https://arxiv.org/pdf/2104.07857.pdf
- [KungFu: Making Training inDistributed Machine Learning Adaptive](/blog/specific-work/shivarams-group/group-papers/lists/kungfu-making-training-indistributed-machine-learning-adaptive.md): https://www.usenix.org/system/files/osdi20-mai.pdf
- [Disk ANN](/blog/specific-work/shivarams-group/group-papers/3.30.md)
- [Queries Processing](/blog/specific-work/shivarams-group/embeddings.md)
- [Building An Elastic Query Engine on Disaggregated Storage](/blog/specific-work/shivarams-group/embeddings/building-an-elastic-query-engine-on-disaggregated-storage.md)
- [GRIP: Multi-Store Capacity-Optimized High-Performance NN Search](/blog/specific-work/shivarams-group/embeddings/grip-multi-store-capacity-optimized-high-performance-nn-search.md): https://openreview.net/pdf/c148d2307c45c6de6f4f766d14a587efd6bf1d4a.pdf
- [Milvus: A Purpose-Built Vector Data Management System](/blog/specific-work/shivarams-group/embeddings/milvus-a-purpose-built-vector-data-management-system.md): https://www.cs.purdue.edu/homes/csjgwang/pubs/SIGMOD21\_Milvus.pdf
- [Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings](/blog/specific-work/shivarams-group/embeddings/query2box-reasoning-over-knowledge-graphs-in-vector-space-using-box-embeddings.md): https://arxiv.org/abs/2002.05969
- [Billion-scale Approximate Nearest Neighbor Search](/blog/specific-work/shivarams-group/embeddings/billion-scale-approximate-nearest-neighbor-search.md): https://speakerdeck.com/matsui\_528/cvpr20-tutorial-billion-scale-approximate-nearest-neighbor-search
- [DiskANN: Fast accurate billion-point nearest neighbor search on a single node](/blog/specific-work/shivarams-group/embeddings/diskann-fast-accurate-billion-point-nearest-neighbor-search-on-a-single-node.md): https://papers.nips.cc/paper/2019/file/09853c7fb1d3f8ee67a61b6bf4a7f8e6-Paper.pdf
- [KGvec2go - Knowledge Graph Embeddings as a Service](/blog/specific-work/shivarams-group/embeddings/kgvec2go-knowledge-graph-embeddings-as-a-service.md): https://arxiv.org/pdf/2003.05809.pdf
- [Seminar & Talk](/blog/specific-work/seminar-and-talk.md)
- [Berkeley System Seminar](/blog/specific-work/seminar-and-talk/berkeley-system-seminar.md)
- [RR: Engineering Record and Replay for Deployability](/blog/specific-work/seminar-and-talk/berkeley-system-seminar/rr-engineering-record-and-replay-for-deployability.md): https://www.usenix.org/conference/atc17/technical-sessions/presentation/ocallahan
- [Immortal Threads: Multithreaded Event-driven Intermittent Computing on Ultra-Low-Power Microcontroll](/blog/specific-work/seminar-and-talk/berkeley-system-seminar/immortal-threads-multithreaded-event-driven-intermittent-computing-on-ultra-low-power-microcontroll.md): https://www.usenix.org/conference/osdi22/presentation/yildiz
- [Berkeley DB Seminar](/blog/specific-work/seminar-and-talk/berkeley-db-seminar.md)
- [TAOBench: An End-to-End Benchmark for Social Network Workloads](/blog/specific-work/seminar-and-talk/berkeley-db-seminar/taobench-an-end-to-end-benchmark-for-social-network-workloads.md): https://www.vldb.org/pvldb/vol15/p1965-cheng.pdf
- [PS2](/blog/specific-work/seminar-and-talk/ps2.md)
- [Sky Seminar Series](/blog/specific-work/seminar-and-talk/sky-seminar-series.md)
- [Spring 23](/blog/specific-work/seminar-and-talk/sky-seminar-series/spring-23.md)
- [Next-Generation Optical Networks for Emerging ML Workloads](/blog/specific-work/seminar-and-talk/sky-seminar-series/spring-23/next-generation-optical-networks-for-emerging-ml-workloads.md): Manya Ghobadi
- [Reading List](/blog/specific-work/seminar-and-talk/fall-21-reading-list.md)
- [Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks](/blog/specific-work/seminar-and-talk/fall-21-reading-list/confluo-distributed-monitoring-and-diagnosis-stack-for-high-speed-networks.md)
- [Rearchitecting Linux Storage Stack for µs Latency and High Throughput](/blog/specific-work/seminar-and-talk/fall-21-reading-list/rearchitecting-linux-storage-stack-for-s-latency-and-high-throughput.md)
- [eBPF: rethinking the linux kernel](/blog/specific-work/seminar-and-talk/fall-21-reading-list/ebpf-rethinking-the-linux-kernel.md): https://www.youtube.com/watch?v=f-oTe-dmfyI
- [BPF for Storage: An Exokernel-Inspired Approach](/blog/specific-work/seminar-and-talk/fall-21-reading-list/bpf-for-storage-an-exokernel-inspired-approach.md): https://sigops.org/s/conferences/hotos/2021/papers/hotos21-s07-zhong.pdf
- [High Velocity Kernel File Systems with Bento](/blog/specific-work/seminar-and-talk/fall-21-reading-list/high-velocity-kernel-file-systems-with-bento.md): https://www.usenix.org/conference/fast21/presentation/miller
- [Incremental Path Towards a Safe OS Kernel](/blog/specific-work/seminar-and-talk/fall-21-reading-list/incremental-path-towards-a-safe-os-kernel.md): https://www.youtube.com/watch?v=a6-ZCUG3IVw
- [Toward Reconfigurable Kernel Datapaths with Learned Optimizations](/blog/specific-work/seminar-and-talk/fall-21-reading-list/toward-reconfigurable-kernel-datapaths-with-learned-optimizations.md): https://www.youtube.com/watch?v=yI5Q61V2wT4
- [A Vision for Runtime Programmable Networks](/blog/specific-work/seminar-and-talk/fall-21-reading-list/a-vision-for-runtime-programmable-networks.md): https://dl.acm.org/doi/10.1145/3484266.3487377
- [The Demikernel and the future of kernal-bypass systems](/blog/specific-work/seminar-and-talk/fall-21-reading-list/the-demikernel-and-the-future-of-kernal-bypass-systems.md): https://www.youtube.com/watch?v=4LFL0\_12cK4
- [Floem: A programming system for NIC-accelerated network applications](/blog/specific-work/seminar-and-talk/fall-21-reading-list/floem-a-programming-system-for-nic-accelerated-network-applications.md): https://www.usenix.org/conference/osdi18/presentation/phothilimthana
- [High Performance Data Center Operating Systems](/blog/specific-work/seminar-and-talk/fall-21-reading-list/high-performance-data-center-operating-systems.md): https://homes.cs.washington.edu/~tom/talks/os.pdf
- [Leveraging Service Meshes as a New Network Layer](/blog/specific-work/seminar-and-talk/fall-21-reading-list/leveraging-service-meshes-as-a-new-network-layer.md): https://www.youtube.com/watch?v=ajkQNjXP5Zs
- [Automatically Discovering Machine Learning Optimizations](/blog/specific-work/seminar-and-talk/fall-21-reading-list/automatically-discovering-machine-learning-optimizations.md): https://www.youtube.com/watch?v=XyXzzjbuXCs\&t=2s
- [Beyond Data and Model Parallelism for Deep Neural Networks](/blog/specific-work/seminar-and-talk/fall-21-reading-list/beyond-data-and-model-parallelism-for-deep-neural-networks.md): https://www.youtube.com/watch?v=81l6kkV-OkE
- [IOS: Inter-Operator Scheduler for CNN Acceleration](/blog/specific-work/seminar-and-talk/fall-21-reading-list/ios-inter-operator-scheduler-for-cnn-acceleration.md): https://arxiv.org/abs/2011.01302
- [Building An Elastic Query Engine on Disaggregated Storage](/blog/specific-work/seminar-and-talk/fall-21-reading-list/building-an-elastic-query-engine-on-disaggregated-storage.md): https://www.usenix.org/conference/nsdi20/presentation/vuppalapati
- [Sundial: Fault-tolerant Clock Synchronization for Datacenters](/blog/specific-work/seminar-and-talk/fall-21-reading-list/sundial-fault-tolerant-clock-synchronization-for-datacenters.md): https://www.usenix.org/conference/osdi20/presentation/li-yuliang
- [MIND: In-Network Memory Management for Disaggregated Data Centers](/blog/specific-work/seminar-and-talk/fall-21-reading-list/mind-in-network-memory-management-for-disaggregated-data-centers.md): https://www.anuragkhandelwal.com/papers/mind.pdf
- [Understanding host network stack overheads](/blog/specific-work/seminar-and-talk/fall-21-reading-list/understanding-host-network-stack-overheads.md): https://dl.acm.org/doi/abs/10.1145/3452296.3472888
- [From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers](/blog/specific-work/seminar-and-talk/fall-21-reading-list/from-laptop-to-lambda-outsourcing-everyday-jobs-to-thousands-of-transient-functional-containers.md): ATC 19
- [Redesigning Storage Systems for Future Workloads Hardware and Performance Requirements](/blog/specific-work/seminar-and-talk/fall-21-reading-list/redesigning-storage-systems-for-future-workloads-hardware-and-performance-requirements.md): https://www.youtube.com/watch?v=UFxS2fepBLk
- [Are Machine Learning Cloud APIs Used Correctly?](/blog/specific-work/seminar-and-talk/fall-21-reading-list/are-machine-learning-cloud-apis-used-correctly.md): http://people.cs.uchicago.edu/~cwan/paper/ml\_api.pdf
- [Fault-tolerant and transactional stateful serverless workflows](/blog/specific-work/seminar-and-talk/fall-21-reading-list/fault-tolerant-and-transactional-stateful-serverless-workflows.md)
- [Reading Groups](/blog/specific-work/seminar-and-talk/reading-groups.md)
- [Network reading group](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group.md)
- [Recap](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/recap.md)
- [ML & Networking](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking.md)
- [Video Streaming](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming.md)
- [Overview](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming/overview.md)
- [Reducto: On-Camera Filtering for Resource Efficient Real-Time Video Analytics](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming/reducto-on-camera-filtering-for-resource-efficient-real-time-video-analytics.md): https://dl.acm.org/doi/10.1145/3387514.3405874
- [Learning in situ: a randomized experiment in video streaming](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming/learning-in-situ-a-randomized-experiment-in-video-streaming.md): https://www.usenix.org/system/files/nsdi20-paper-yan.pdf
- [SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming/sensei-aligning-video-streaming-quality-with-dynamic-user-sensitivity.md): https://people.cs.uchicago.edu/~junchenj/docs/sensei.pdf
- [Neural Adaptive Video Streaming with Pensieve](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming/neural-adaptive-video-streaming-with-pensieve.md): https://dl.acm.org/doi/abs/10.1145/3098822.3098843
- [Server-Driven Video Streaming for Deep Learning Inference](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/video-streaming/server-driven-video-streaming-for-deep-learning-inference.md): https://people.cs.uchicago.edu/~junchenj/docs/DDS-Sigcomm20.pdf
- [Congestion Control](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/congestion-control.md)
- [ABC: A Simple Explicit Congestion Controller for Wireless Networks](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/congestion-control/abc-a-simple-explicit-congestion-controller-for-wireless-networks.md): https://www.usenix.org/conference/nsdi20/presentation/goyal
- [TCP Congestion Control: A Systems Approach](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/congestion-control/tcp-congestion-control-a-systems-approach.md): https://tcpcc.systemsapproach.org/preface.html
- [Chapter 1: Introduction](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/congestion-control/tcp-congestion-control-a-systems-approach/chapter-1-introduction.md)
- [A Deep Reinforcement Learning Perspective on Internet Congestion Control](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/congestion-control/a-deep-reinforcement-learning-perspective-on-internet-congestion-control.md): http://proceedings.mlr.press/v97/jay19a/jay19a.pdf
- [Pantheon: the training ground for Internet congestion-control research](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/congestion-control/pantheon-the-training-ground-for-internet-congestion-control-research.md): https://www.usenix.org/system/files/conference/atc18/atc18-yan-francis.pdf
- [Other](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/other.md)
- [On the Use of ML for Blackbox System Performance Prediction](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/other/on-the-use-of-ml-for-blackbox-system-performance-prediction.md): https://www.usenix.org/conference/nsdi21/presentation/fu
- [Marauder: Synergized Caching and Prefetching for Low-Risk Mobile App Acceleration](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/other/marauder-synergized-caching-and-prefetching-for-low-risk-mobile-app-acceleration.md): https://dl.acm.org/doi/10.1145/3458864.3466866
- [Horcrux: Automatic JavaScript Parallelism for Resource-Efficient Web Computation](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/other/horcrux-automatic-javascript-parallelism-for-resource-efficient-web-computation.md): https://www.usenix.org/conference/osdi21/presentation/mardani
- [Snicket: Query-Driven Distributed Tracing](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/other/snicket-query-driven-distributed-tracing.md): https://dl.acm.org/doi/10.1145/3484266.3487393
- [Workshop](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/ml-and-networking/workshop.md): https://www.youtube.com/watch?v=gfGTd7PXK54\&list=PLMPUUgLIYH1ZJVEXTTZT82ipTprSu1hn8\&index=1
- [Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities](/blog/specific-work/seminar-and-talk/reading-groups/network-reading-group/homa-a-receiver-driven-low-latency-transport-protocol-using-network-priorities.md): https://people.csail.mit.edu/alizadeh/papers/homa-sigcomm18.pdf
- [DB reading group](/blog/specific-work/seminar-and-talk/reading-groups/db-reading-group.md)
- [CliqueMap: Productionizing an RMA-Based Distributed Caching System](/blog/specific-work/seminar-and-talk/reading-groups/db-reading-group/cliquemap-productionizing-an-rma-based-distributed-caching-system.md): https://dl.acm.org/doi/pdf/10.1145/3452296.3472934
- [Hash maps overview](/blog/specific-work/seminar-and-talk/reading-groups/db-reading-group/hash-maps-overview.md)
- [Dark Silicon and the End of Multicore Scaling](/blog/specific-work/seminar-and-talk/reading-groups/db-reading-group/dark-silicon-and-the-end-of-multicore-scaling.md): https://ieeexplore.ieee.org/document/6307773
- [WISR](/blog/specific-work/seminar-and-talk/reading-groups/wisr.md)
- [pFabric: Minimal Near-Optimal Datacenter Transport](/blog/specific-work/seminar-and-talk/reading-groups/wisr/pfabric-minimal-near-optimal-datacenter-transport.md): https://web.stanford.edu/~skatti/pubs/sigcomm13-pfabric.pdf
- [Scaling Distributed Machine Learning within-Network Aggregation](/blog/specific-work/seminar-and-talk/reading-groups/wisr/scaling-distributed-machine-learning-within-network-aggregation.md): https://www.usenix.org/conference/nsdi21/presentation/sapio
- [WCMP: Weighted Cost Multipathing for Improved Fairness in Data Centers](/blog/specific-work/seminar-and-talk/reading-groups/wisr/wcmp-weighted-cost-multipathing-for-improved-fairness-in-data-centers.md): http://www.sysnet.ucsd.edu/sysnet/miscpapers/wcmp-eurosys-final.pdf
- [Data center TCP (DCTCP)](/blog/specific-work/seminar-and-talk/reading-groups/wisr/data-center-tcp-dctcp.md): https://dl.acm.org/doi/10.1145/1851182.1851192
- [Wisconsin Seminar](/blog/specific-work/seminar-and-talk/wisconsin-seminar.md)
- [Enabling Hyperscale Web Services](/blog/specific-work/seminar-and-talk/wisconsin-seminar/untitled.md): http://today.wisc.edu/events/view/157998
- [The Lottery Ticket Hypothesis](/blog/specific-work/seminar-and-talk/wisconsin-seminar/the-lottery-ticket-hypothesis.md): On Sparse, Trainable Neural Networks (Jonathan Frankle)
- [External Merge Sort for Top-K Queries: Eager input filtering guided by histograms](/blog/specific-work/seminar-and-talk/wisconsin-seminar/external-merge-sort-for-top-k-queries-eager-input-filtering-guided-by-histograms.md): https://dl.acm.org/doi/pdf/10.1145/3318464.3389729
- [Stanford MLSys Seminar](/blog/specific-work/seminar-and-talk/mlsys.md): @Stanford
- [Episode 17](/blog/specific-work/seminar-and-talk/mlsys/episode-17.md)
- [Episode 18](/blog/specific-work/seminar-and-talk/mlsys/episode-18.md)