Vector Computation Video Lecture
MULTI-CORE VIDEO SERIES
Vector Computation by David Kuck. David Kuck is an Intel Fellow working on hardware/software co-design in Intel’s Software and Solutions Group, and is the founder of the Center for Supercomputing Research and Development.
Format: Asynchronous
Nominal duration: Self-paced Learning - Approximate Time: 1 hour
Professional Development Hours (PDH) : 1
Continuing Education Credits (CEU) : 0.1
This video course is part of Multi-Core Lecture Series consists of 11 one-hour lectures by some of the world's leading researchers in the field. This series is not a course and it consists of the presentation for those who are in the research field. This is more intended for research information sharing than educational training. Topics that are covered during these lectures are listed below. This series also includes an hour discussion of the lecturers.
- Automatic Parallelization by David Padua
- Autoparallelization for GPUs by Wen-Mei Hwu
- Dependences and Dependence Analysis by Utpal Banerjee
- Dynamic Parallelization by Rudolf Eigenmann
- Instruction Level Parallelization by Alexandru Nicolau
- Multigrain Parallelization and Power Reduction by Hironori Kasahara
- The Polyhedral Model by Paul Feautrier
- Vector Computation by David Kuck
- Vectorization by P. Sadayappan
- Vectorization/Parallelization in the IBM Compiler by Yaoqing Gao
- Vectorization/Parallelization in the Intel Compiler by Peng Tu
- Roundtable Discussion by all presenters
