| Adam Lewis |
Deploying Dask
|
| Adam Lewis |
Deploy JupyterHub with Dask Gateway on Kubernetes in 15 minutes
|
| Alexander Hirner |
(Memorable) Lessons of running an always-on Dask Cluster
|
| Amit Kumar |
Deploy JupyterHub with Dask Gateway on Kubernetes in 15 minutes
|
| Amit Kumar |
Deploying Dask
|
| Anderson Banihirwe |
Dask in HPC,
Pangeo,
Xarray User Forum,
Deploying Dask
|
| Andrew Mshar |
Scale Machine Learning Code with Dask
|
| Anthony Dubois |
Transforming Terabytes of healthcare data with Dask and Kubeflow pipeline
|
| Argenis Leon |
Using Dask for real time feedback in a data wrangling web application
|
| Benjamin Zaitlen |
Bringing Dask Workloads to GPUs with RAPIDS,
Doing Nothing Poorly: Accelerating Dask Scheduling,
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| Ben Leighton |
Characterizing vegetation patch proximity and size across Australia with skimage and dask map overla,
Dask Down Under: Panel Discussion,
Characterizing vegetation patch proximity and size across Australia with skimage and dask map overla,
Dask Down Under
|
| Brad Miro |
Dask-Yarn: Scaling Distributed Dask Applications on a Hadoop Cluster,
Deploying Dask
|
| Brendan Collins |
Using Dask to Finetune Geo-Raster Analysis
|
| Chelle Gentemann |
Keynote: Reimagining Science
|
| Chinmay Chandak |
GPU-accelerated Streaming @ Scale using Dask
|
| Clark Zinzow |
Dask-on-Ray: Using Dask for Large-scale Data Processing on Ray
|
| Dan Kerrigan |
Capital One uses Dask!
|
| Deepak Cherian |
Xarray User Forum
|
| Draga Doncila Pop |
Interactive visualization and near real-time analysis on out-of-core satellite images Speaker,
Interactive visualization and near real-time analysis on out-of-core satellite images Speaker,
Dask Down Under: Panel Discussion,
Dask Down Under
|
| Genevieve Buckley |
Dask Down Under: Panel Discussion,
Life science workshop,
Dask Down Under: Panel Discussion,
Dask Down Under
|
| Gil Forsyth |
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| Grant Gelven |
Keynote: Clusters of Clusters: Using Dask Distributed to Scale Enterprise Machine Learning Systems
|
| Guido Imperiale |
Active Memory Management on Dask.distributed
|
| Guillaume Eynard-Bontemps |
Dask in HPC
|
| Han Wang |
Dask SQL Query Engines
|
| Holden Karau |
Keynote: Design Principles of Distributed Systems
|
| Hugo Bowne-Anderson |
Dask for Everyone with Coiled,
Dask Down Under: Panel Discussion,
Dask Down Under
|
| Hugo Shi |
Dask DataFrame groupby. Why it can fail and how to compensate.
|
| Ian Rose |
The Dask JupyterLab extension
|
| Itamar Turner-Trauring |
Logging for scientific computing: debugging, performance, Dask
|
| Jacob Schmitt |
Using GPUs to Accelerate Data Science with Dask + RAPIDS
|
| Jacob Tomlinson |
Deploying Dask
|
| Jacqueline Nolis |
Using Dask and many GPUs to train a neural network with PyTorch
|
| James Bourbeau |
Processing a Petabyte in the Cloud,
Hacking Dask: Diving Into Dask’s Internals,
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| James Lamb |
How Distributed LightGBM on Dask Works
|
| Jan-Willem Steeb |
Radio Astronomy Applications with Dask
|
| Jenna Lau-Caruso |
Bringing Dask to High Performance Computing (HPC) Clusters and Grids
|
| Jie Lou |
Keynote: Dask & Prefect for Healthcare Machine Learning on AWS
|
| Joe Schmid |
Keynote: Dask & Prefect for Healthcare Machine Learning on AWS
|
| Joe Wolfe |
Standardizing the Model Development and Approval Process
|
| John Kirkham |
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| Jonathan Kenyon |
Radio Astronomy Applications with Dask
|
| Jon Mease |
Architectures for Scalable Analytic Dashboards in Python with Dask Distributed and Dash
|
| Joris Van den Bossche |
Scaling geospatial vector data,
High-Performance Data Access for Dask
|
| José Morales |
mlforecast: Scalable machine learning based time series forecasting
|
| Julia Signell |
Hacking Dask: Diving Into Dask’s Internals,
Scaling geospatial vector data
|
| Kathleen Burnett, Anywhere League |
Social Event: Quiz Night
|
| Kevin Kho |
An Intro to Workflow Management with Prefect
|
| Kimberley Opie |
Characterizing vegetation patch proximity and size across Australia with skimage and dask map overla
|
| Kirill Kouzoubov |
Dask Down Under: Patterns for large scale temporal processing of geo-spatial data using Dask
|
| KRIEF David |
Transforming Terabytes of healthcare data with Dask and Kubeflow pipeline
|
| Krishan Bhasin |
Scaling Pandas using Dask: How to avoid all my mistakes
|
| Landman Bester |
Radio Astronomy Applications with Dask
|
| Leo Meyerovich |
100GB/s GPU log analytics at Graphistry: A case study and production lessons on tuning dask-cudf
|
| Lexy A. L. Andati |
Radio Astronomy Applications with Dask
|
| Luis Aguirre |
Using Dask for real time feedback in a data wrangling web application
|
| Lukas Heinrich |
Dask in High-Energy Physics community
|
| Mads R. B. Kristensen |
An Introduction to Memory Spilling,
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| Martin Durant |
High-Performance Data Access for Dask
|
| Martin Fleischmann |
Scaling geospatial vector data
|
| Matt Rocklin |
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| Michael Feiman |
Bringing Dask to High Performance Computing (HPC) Clusters and Grids
|
| Michael Sebbah |
Transforming Terabytes of healthcare data with Dask and Kubeflow pipeline,
Advanced data transformation pipeline for AI portfolio management
|
| Michael Wood-Vasey |
Dark Energy with Dask: Analyzing data from the Next Generation of Large Astronomical Surveys
|
| Mike Klaczynski |
Dask SQL Query Engines
|
| Mike McCarty |
Finance Workshop,
Scale Machine Learning Code with Dask
|
| Miles Adkins |
Dask SQL Query Engines
|
| Nanthini Balasubramanian |
Deploying Dask
|
| Nicholas Smith |
Analyzing particle physics data in the scientific python ecosystem
|
| Nick Becker |
Bringing Dask Workloads to GPUs with RAPIDS
|
| Nick Mortimer |
Making the most of your schedule: From HPC to Local Cluster,
Dask Down Under
|
| Nils Braun |
Dask SQL Query Engines
|
| Noureddine Boumlaik |
Advanced data transformation pipeline for AI portfolio management
|
| Oksana Shadura |
Challenges Designing Interactive Analysis Facilities with Dask,
Dask in High-Energy Physics community
|
| Paige E. Martin |
Pangeo
|
| Paul Branson |
Dask Down Under: Panel Discussion,
Making the most of your schedule: From HPC to Local Cluster
|
| Philippe Cotte |
Advanced data transformation pipeline for AI portfolio management
|
| Remy Welch |
Scale model training in minutes with Dask + Rapids on GCP AI Platform
|
| Richard Zamora |
NVTabular: Building a Dask-based Library for Recommender-System Data Pipelines,
High-Performance Data Access for Dask,
Doing Nothing Poorly: Accelerating Dask Scheduling
|
| Ruby Van Rooyen |
Radio Astronomy Applications with Dask
|
| Ryan Soley |
Standardizing the Model Development and Approval Process,
Scale Machine Learning Code with Dask
|
| Scott Sievert |
Training PyTorch models faster with Dask
|
| Simon Perkins |
Radio Astronomy Applications with Dask
|
| Stanley Seibert |
Metagraph: An Adventure in Types, Heterogenous Hardware, and Compilers in Dask
|
| Sultan Orazbayev |
Record linkage on a SLURM cluster with Dask
|
| Tatiana Statsenko |
(Memorable) Lessons of running an always-on Dask Cluster
|
| Tim Cornwell, SKA project |
Radio Astronomy Applications with Dask
|
| Tisham Dhar |
Dask Down Under: Dask DevOps for Remote Sensing,
Dask Down Under: Panel Discussion,
Dask Down Under
|
| Tom Augspurger |
Pangeo,
Scalable geospatial data analysis with Dask
|
| Tom Drabas |
Dask SQL Query Engines
|
| Xavier Bouthillier |
Hyperparameter Optimization using Dask with Oríon
|
| Yoann Janvier |
Transforming Terabytes of healthcare data with Dask and Kubeflow pipeline
|