Analytical Performance Modelling for Software Transactional Memory
Event details
| Date | 03.02.2012 |
| Hour | 09:00 |
| Speaker | Mr Waheed Aslam Ghumman |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam:
Exam president: Prof. André Schiper
Thesis director: Prof. Rachid Guerraoui
Co-examiner: Prof. Christoph Koch
Research Proposal
Machine Learning Based Online Performance Prediction for Runtime Parallelization and Task Scheduling by Jiangtian Li et al.
An analytic framework for performance modeling of software transactional memory by Armin Heindl and Gilles Pokam
Towards Applying Machine Learning to Adaptive Transactional Memory by Qingping Wang et al.
Exam president: Prof. André Schiper
Thesis director: Prof. Rachid Guerraoui
Co-examiner: Prof. Christoph Koch
Research Proposal
Machine Learning Based Online Performance Prediction for Runtime Parallelization and Task Scheduling by Jiangtian Li et al.
An analytic framework for performance modeling of software transactional memory by Armin Heindl and Gilles Pokam
Towards Applying Machine Learning to Adaptive Transactional Memory by Qingping Wang et al.
Practical information
- General public
- Free
Contact
- Evelyn Duperrex