Project Catapult Academic Tutorial: OpenCL

Update: 2017-11-08

Description

We will be presenting a series of online tutorial sessions to introduce and provide examples of the work that is possible in the Catapult Academic environment.

Comments

In Channel

Pacific Northwest Probability Seminar: An Analysis of Spatial Mixing

2017-11-2701:03:09

Keynote: Smart Enough to Work With Us? Foundations and Challenges for Teamwork-Enabled AI Systems

2017-11-2001:01:04

Pacific Northwest Probability Seminar: Gravitational Allocation to Uniform Points on the Sphere

2017-11-2045:28

Pacific Northwest Probability Seminar: A Characterization Theorem for the Gaussian Free Field

2017-11-2046:42

Two-round Secure Multiparty Computations from Minimal Assumptions

2017-11-2049:06

Intent and Emotions in Image Search and Viewing

2017-11-2059:03

Using Large Scale Genomic Databases to Improve Disease Variant Interpretation

2017-11-2030:19

Pacific Northwest Probability Seminar: Optimal Matching of Gaussian Samples

2017-11-1950:05

Foundations of Data Science - Lecture 4

2017-11-1701:16:08

Foundations of Data Science - Lecture 3

2017-11-1752:38

Foundations of Data Science - Lecture 1

2017-11-1749:25

Foundations of Data Science - Lecture 2

2017-11-1659:00

The ACLU and Broken Windows Policing

2017-11-1301:04:16

Asynchronous Reactive Models – Event-based Analysis of Networks of Actors

2017-11-0958:08

Hacking The Runway: Exploring Fashion Technology & Haute Tech Couture

2017-11-0848:21

Social Order in the Age of Big Data: Exploring the Knowledge Problem and the Freedom Problem

2017-11-0801:16:40

Post-Quantum Zero-Knowledge and Signatures from Symmetric-Key

2017-11-0833:33

Project Catapult Academic Tutorial: OpenCL

2017-11-0826:33

One genome to rule them all, one genome to find them

2017-11-0830:03

Video Understanding: From Tags to Language

2017-11-0658:28

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Project Catapult Academic Tutorial: OpenCL

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Project Catapult Academic Tutorial: OpenCL

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Project Catapult Academic Tutorial: OpenCL