Past Events

GPU computing with Julia 3 of 3

2021-08-26
B701, Computer Lab, Lab 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

GPU computing with Julia 2 of 3

2021-08-24
B701, Computer Lab, Lab 3.

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

[PhD Thesis Presentation_Zoom] - Mr. Kun-Lung Li - "A Study of Horizontally Transferred Glycosyl Hydrolase Family 6 Genes in Tunicate Genomes"

2021-08-20

PhD Public Presentations                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

GPU computing with Julia 1 of 3

2021-08-13
B701, Computer Lab, Lab 3

In this course, we will use the Julia programming language that provides many useful abstractions that make GPU computing easier than writing programs in native GPU languages, such as Nvidia's CUDA.

◆Target audience
This course is suitable for people with some experience with either Julia or GPU computing in another language (such as C).

OIST NetCafé (Online Information Session) in August 2021

2021-08-06
Online

This session will be in Japanese. The program will start off with OIST general introduction, PhD & Research Internship admission process, financial support and student life followed by the panel discussion by 2 OIST PhD students.

Elm 4 of 4

2021-07-16
B701, Computer Lab, Lab 3.

Elm is A delightful language for building reliable web applications. It is a language that: has no runtime exceptions, makes refactoring easy, is easy to read, has friendly error messages and is fast. Elm is a functional language for front-end programming that compiles to JavaScript.

◆Target audience
This course is suitable for anyone with basic programming experience. No web experience required. 

Mini Course: Algebraic geometry and topology of neural codes 4 of 4

2021-06-17
A720, Lab3

This course will incorporate some “flipped classroom” content. There is a short video you should watch before coming to each session plus an optional reading.

◆Target audience
The course is explicitly multi-disciplinary in its content, being a blend of neuroscience and mathematics. However, no prior knowledge in either discipline is expected or necessary and anyone interested is welcome to join.

Mini Course: Algebraic geometry and topology of neural codes 3 of 4

2021-06-16
B701, Computer Lab, Lab 3

This course will incorporate some “flipped classroom” content. There is a short video you should watch before coming to each session plus an optional reading.

◆Target audience
The course is explicitly multi-disciplinary in its content, being a blend of neuroscience and mathematics. However, no prior knowledge in either discipline is expected or necessary and anyone interested is welcome to join.

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