- All Categories
- Featured Events
- Alumni
- Application Deadline
- Arts
- Campus Discourse
- Careers
- BU Central
- Center for the Humanities
- Charity & Volunteering
- Kilachand Center
- Commencement
- Conferences & Workshops
- Diversity & Inclusion
- Examinations
- Food & Beverage
- Global
- Health & Wellbeing
- Keyword Initiative
- Lectures
- LAW Community
- LGBTQIA+
- Meetings
- Orientation
- Other Events
- Religious Services & Activities
- Special Interest to Women
- Sports & Recreation
- Social Events
- Study Abroad
- Weeks of Welcome
- Susan Metrican: Wavy PanesAll day
- Samuel AltekruseAll day
- Scholarship Deadline, National Security Education ProgramAll day
- Cullen Washington Jr.: The Land Before WordsAll day
- The Lightning Speed of the PresentAll day
- Condensed Matter Theory Seminar11:00 am
- BU Abroad 101 for Science Students12:00 pm
- IS&T SCV Tutorial - MATLAB Parallel Computing Toolbox1:00 pm
- Chemistry Dissertation Defense of Joshua S. McNally2:00 pm
- SE PhD Final Oral Defense of Ebru Aydin Gol3:00 pm
- BU Abroad 1013:00 pm
- BU Around the World: International Student Forum3:00 pm
- IS&T SCV Tutorial - Graphics in R3:30 pm
- Particle and Fields Seminar3:30 pm
- Tour of Europe Dinner at Warren Towers4:00 pm
- BU Real Estate Networking Night featuring John Drew, The Drew Company4:30 pm
- IS&T SCV Tutorial - Introduction to C Programming, Part Two5:00 pm
- Nike Inc./Converse Information Session5:00 pm
- Introduction to Hebrew (5:00pm, 6:15pm, and 7:15pm classes)5:00 pm
- Accumulation: Philip Fryer6:00 pm
IS&T SCV Tutorial - MATLAB Parallel Computing Toolbox
MATLAB Parallel Computing Toolbox is now available to Boston University’s MATLAB users. This toolbox enables users to solve computationally intensive and data intensive problems on multi‐cored personal computers, laptops, and especially the Katana Linux Cluster managed by the Scientific Computing and Visualization group of Information Services & Technology. Parallel processing operations such as parallel for‐loops, parallel numerical algorithms, and message‐passing functions let you implement task‐ and data‐parallel algorithms in MATLAB. Converting serial MATLAB applications to parallel MATLAB applications usually requires few code modifications and no programming in a low‐level language. The prerequisite for this course is a basic knowledge of MATLAB, either developed on your own or from our Introduction to MATLAB tutorial.
Register by: 2/5/2014When | 1:00 pm to 3:00 pm on Wednesday, February 5, 2014 |
---|---|
Building | 111 Cummington Mall |
Room | B27 |
Contact Email | scv-tutorial@bu.edu |
Contact Organization | IS&T SCV |
Fees | Free |
Speakers | Kadin Tseng |