Format: Asynchronous
Nominal duration: Self-paced Learning – Approximate Time: 12 hour
Professional Development Hours (PDH) : 12
Continuing Education Credits (CEU) : 1.2
Video Presentations:
- 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