CS6596 High-Performance Parallel Computing
Instructors: P. Sadayappan and Rupesh Nasre.
TA: Jyothi Krishna V S
Dates: June 20 -- July 1, 2016
Venue: MSB 360, IIT Madras
The course is intended to be of interest to both computer scientists as well as computational scientists who use high-performance computing in their work. It will cover parallel programming for shared-memory multiprocessors and GPUs, as well as the fundamental performance issues with these systems. It would help the attendees learn the issues involved in creating high-performance parallel software.
- Caches and locality, Loop transformations, Data dependence analysis, Performance modeling
- OpenMP review, OpenMP performance optimization, OpenMP case studies
- GPU programming, GPU performance issues, GPU case studies
- Irregular algorithms, Vectorization, Intel Xeon Phi case studies
click here for GIAN registration portal.
The registration requires Rs.500 for the GIAN portal (to be paid online) and then additional following fees for the course to be paid by demand draft.
The above fee is towards participation in the course, the course material, computer use
for tutorials and assignments, and laboratory equipment usage charges.
Follow these steps towards the payment.
- Student Participants: Rs.2000
- Faculty Participants: Rs.5000
- Government Research Organization Participants: Rs.5000
- Industry Participants: Rs.10000
- Get a demand draft from your bank of the correct amount in favor of Registrar, IIT Madras.
- Hand over or post the demand draft to Rupesh Nasre, CSB 11, CSE Department, IIT Madras, Chennai -- 600036.
- Email firstname.lastname@example.org mentioning about handing over / posting the demand draft.
The student and faculty participants from other institutes who want
accommodation will be provided the hostel accommodation on payment
basis. These participants have to apply for the hostel accommodation
through the link: http://hosteldine.iitm.ac.in/iitmhostel.
The lodging and boarding charges are to be paid by the participants. The
course registration fee does not include the boarding and lodging charges.
We thank Prof. C Chandra Sekhar for coordinating the course for GIAN from IIT Madras.
Prof. Sadayappan is a Professor in the Department of Computer Science and Engineering at The
Ohio State University. His primary research interests center around performance optimization
and compiler/runtime systems for high-performance computing, with special emphasis on
high-performance frameworks that enable high productivity for application developers in
scientific computing. Two recent projects include a polyhedral framework for automatic
parallelization and data locality optimization, and the Tensor Contraction Engine – a domain-specific compiler/runtime system to automatically transform high-level specifications into
efficient parallel programs, for a class of high accuracy ab initio models in quantum chemistry.
Rupesh Nasre is a faculty member at the Department of Computer Science and Engineering at IIT
Madras. His primary research interests are in compilers and parallelization. In particular, he has been
exploring parallelization of graph algorithms on multi-core as well as GPUs. Towards improving
productivity of end-users, he has developed a domain-specific language for graph algorithms, in
collaboration with other researchers. He is a recipient of NVIDIA Special Prize, has won Yahoo! HackU
Award, and holds five US patents.